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Data Scientist | Opensea |
OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs, which are digital goods endowed with property rights. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. NFTs have brand new properties that go beyond traditional digital items: they’re unique, provably scarce, liquid, and usable across multiple applications. At OpenSea, we're excited about building a brand new economy from the ground up based on true digital ownership and are proud to be recognized as Y Combinator's #27 ranked top private company.
When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We're looking for an experienced and entrepreneurial data scientist to develop insights and frameworks that guide the product roadmap, understand causal inference of products we roll out, and build models that help elevate our business at scale. This individual will be the first data science hire at Opensea.
Responsibilities
- Define the right metrics to measure the success of the product/ marketplace and the business.
- Performing quantitative analysis and building dashboards that informs product roadmaps and diagnoses the health of the business across our marketplace.
- Contribute to experiment design and interpret the results to draw detailed and actionable conclusions.
- Building machine learning models that help improve our customer experience and enhance operations.
- Working with data engineers and rest of the engineering team to build data stack and data pipelines.
Desired Experience
- 5+ years of experience in data science/ data analytics fields.
- Experience in SQL, Python/R, Airflow, Looker, and Spark.
- Strong quantitative background and experience with statistical analysis.
- Strong cross-functional skills and ability to operate under ambiguous and fast moving problem spaces.
- Potential to grow into a leadership position as the team expands.
- (nice to have) A passion or growing interest in decentralized technologies.
- (nice to have) An understanding of the basic mechanics of blockchain applications and dApps.
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Data Scientist Credit | Gusto |
About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role
Gusto is looking for an ambitious Data Scientist with a solid grounding in statistics and credit risk and at least a few years experience applying this knowledge in a business environment. In this role you will work closely with other members of our Data Science team, as well as our Engineering, Product, Design, and Risk Operations teams to define and track product metrics, contribute to credit underwriting tools and models, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver insights. Gusto’s Data Science team operates full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.
Here’s what you’ll do day-to-day:
Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data
Build and deploy models and data products to support growth and control risk within our segment
Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy
Design and analyze customer-facing experiments
Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting
Be a strong voice for a data-informed point of view within our engineering, product and design organization
Collaborate with UX research to design surveys and provide quantitative insights on customer experience
Enhance and contribute to the team’s core analysis and modeling systems and libraries
Identify new opportunities to leverage data to improve Gusto’s products and help our business
Present and communicate results to stakeholders across the company
Here’s what we're looking for:
At least 5-10 years experience conducting statistical analyses on large datasets, ideally in financial software or finance industries. Specific experience with credit risk modeling is a plus.
Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - generalized linear modeling, regularization, ensemble models (e.g., random forest, gradient boosting), Bayesian analysis methods
Strong programming skills in SQL - comfortable with all phases of the data science development process, from initial analysis and model development all the way through to deployment
Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations
Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
Passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers
PhD or Masters plus equivalent experience in a quantitative field
Our cash compensation amount for this role is targeted at $127,000-$206,000/year in Denver & most remote locations, and $154,000-$243,000/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
#LIRemote
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Data Science Manager Consortium Network | Socure |
Founded in 2012, Socure is the leader in digital identity verification technology at account onboarding and beyond. Our predictive analytics platform applies artificial intelligence and machine learning techniques, with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real-time. We have more than 750 customers across the financial services, gaming, telecom, and ecommerce industries, including four of the top five banks, seven of the top 10 credit card issuers, three top MSBs, multiple tier-one payroll providers, the top credit bureau, and over 100 of the largest and most successful fintechs such as Varo Money, Public, Chime, and Stash. Socure is now offering its solutions to public sector agencies.
We are also funded by some of the world's best investors, including Accel, Scale Venture Partners, Commerce Ventures, Citi Ventures, Wells Fargo Strategic Capital, Capital One Ventures, and more.
Our trophy case includes numerous industry awards and accolades, including being named one of Forbes America’s Best Startup Employers 2021 as well as the Best New Technology Introduced over the Last 12 months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked #70 on Deloitte’s Technology Fast 500™, getting listed as a Gartner Cool Vendor, and winning Finovate’s Award for Best Use of AI/ML, to name a few.
The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in.
The Role:
We are looking for an innovative Data Science leader to bring our Risk Insights product suite to life. Through this recently launched initiative, Socure is quickly expanding its industry-leading fraud solutions to address the unique challenges presented by first-party fraud. The aim of Risk Insights is to create actionable intelligence that will further enable account opening and real-time money movement across financial institutions, online gaming sites, crypto exchanges, and any trusted entity that transacts with consumers online.
This Data Science leader will be integral in shaping the strategic direction of the Risk Insights initiative. As a new space for Socure, we are looking for someone who is energized by data exploration and rapid prototyping as we work to develop best-in-class solutions. Developing a deep understanding of first-party fraud through data is the key to unlocking value, and you will be closely partnering with Product and Engineering to define the team's roadmap.
Reporting to SVP of Data Science and partnering closely with VP of Product, Risk Insights, you will be at the center of one of Socure’s most strategic projects.
What You’ll Do:
Build, hire and lead a team of all-star data scientists
As a player-coach, lead and execute complex modeling/machine learning projects and new product development from concept to delivery
Develop machine learning, data mining, statistical, and graph-based algorithms designed to solve complex problems in fraud and identity theft
Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data
Implement new data modeling solutions and improvements to existing solutions
Integrate new data sources and API third-party products in the main framework
Collaborate with Product, leadership and other key stakeholders to innovate, propose and design a new revenue generating product
What You’ll Bring:
BE/B.TECH/ME/MSc in computer science, applied mathematics, physics, statistics, engineering, or a related technical or quantitative discipline/field
Prior industry experience in payments and first-party fraud
Experience in developing data-driven algorithms in information retrieval, relevance, or machine learning and working with distributed systems
Strong Python, R, Bash/Shell programming background is a must
Prior experience working successfully in a fast-paced, cross-functional environment
Excellent research skills
Nice-to-Haves:
Experience with account and transactional risk predictive modeling
Experience with entity resolution and identity graphs
Experience with data workflow managers such as Airflow, Drake, or Luigi
Experience with cloud ecosystems such as Microsoft Azure, Google Cloud Platform or Amazon Web Services
Perks & Benefits:
Competitive base salary
Equity - every employee is a stakeholder in our upside
Medical, dental and vision benefits for employees and their dependents
Parental leave and fertility support
Flexible PTO
401K with company match
Stipend to supply your home office
Annual professional development stipend
A Message on COVID-19:
Socure's number one priority is to safeguard the health and well-being of our team members, our families and our communities. During this unprecedented time, we are closely monitoring COVID-19 developments and updating our response plan quarterly. We are regularly soliciting feedback from our employees to help inform our return-to-office strategy. For our team members who loved going into the office, we are looking forward to meeting once again! But until then, we are striving to ensure that Socureans have the resources and support they need to excel from home. This includes a work-from-home stipend so you can build your home office and fun, virtual events so you can continue to feel connected to your coworkers.
We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Senior Data Scientist Analytics | User Interviews |
About User Interviews
At User Interviews, we believe that the best companies in the world consistently deliver products and experiences that their customers love. We also believe that the only way to consistently build those products and experiences is to talk to your customers. Watch what they do. Understand why they do what they do. Figure out why they do things that seem irrational. And once you’ve done that once, do it again. Start having constant conversations. In short, make customers your #1 priority through user research.
That’s why we exist. We help teams set up those conversations, allowing them to discover and embrace user insights. We currently do that by making it fast and easy to talk to customers, or potential customers, to help with product, design, or marketing decisions. We work with hundreds of companies every month, including user-centric organizations like Atlassian, Amazon, and Spotify.
About the Role
The mission of the Analytics team at User Interviews is to own all of the company’s data and to analyze it in ways that help us make better decisions. We work with every team, including Product, Marketing, Sales, Operations, and executives, across diverse data sets. As a Senior Data Scientist, you’ll be involved throughout projects, from planning, to building, to assessing.
Responsibilities
Use analytical skills to create and test hypotheses, and visualization/presentation skills to communicate results to your stakeholders.
Help people across the company use information to make the best decisions possible.
Work with large data sets across multiple problem areas. This includes vetting new datasets as they come in and developing deep intuition about how all of our data fits together.
Own your team's experimentation and modeling.
Focus on automating reporting tools and dashboards so that we can spend more time on the most complex problems.
Work with other Analytics teammates, including Data Engineering, to level up our skills and knowledge.
Some sample projects that the Analytics team has helped with
How can we improve customer retention?
What should the Product team build next? Once it’s built, how does it perform?
How much should we charge for our subscription offering?
What happens when we move a company to a subscription?
What defines success for the Operations team?
Qualifications
Fluency in SQL, and proficiency in either R or Python
Knowledge of statistics and other data analysis methods
Experience working with large, complex datasets, preferably at a software company
Ability to verify, analyze, and present data in ways that other stakeholders can internalize
Nice to Have’s:
Bachelor’s or Master’s in a quantitative field (e.g. Statistics, Mathematics, or Economics); professional experience in Data Science can be a replacement
Experience working with engineering to build good data infrastructure
Benefits
100% premium covered medical + dental employee coverage
Annual membership to One Medical Group & Talkspace
401k + employer contribution
4 weeks of PTO to start + accrue an additional day per year of employment
Unlimited wellness days - Sick? Doctors appointment? Mental health day? We’ve got you covered.
Flexible, paid parental leave
Stock options for every employee
$250 Office setup budget
Annual learning & development stipend
Performance-based incentive plans
Awards for 360-degree recognition, work anniversaries, & birthdays
1-2 team retreats per year (virtual and in-person options)
User Interviews is a fully remote team (even in the before times). We are proactive about staying connected to one another despite not sharing the same physical space. Remote culture is real and we care about it—a lot.
We’re a team of doers. You’ll be fully supported by your manager and team, but there won’t be anyone peering over your shoulder. You’ll be expected and trusted to take ownership of your work, and to communicate clearly and transparently with your distributed teammates.
On a related note, we’re very pro-feedback. From our users, of course. But also from each other. From individual contributors right up to the CEO, this is a team that is genuinely committed to continuous improvement.
We embrace what makes you, you!
We are committed to accessibility, equity, diversity, and inclusion. We build products for and welcome participants, researchers, and employees from a diverse set of backgrounds. These backgrounds include—but are not limited to—varied socioeconomic status, gender identity or expression, sexual orientation, religion, race, ethnicity, age, neurodivergence, disability, and citizenship.
As we grow, we are aware that this work is continuous. We will not settle for how things are, but rather strive for how they could be.
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Senior Data Scientist | Moonpay |
The Team ❤️
Our newly formed data team is here to build up and serve a best in class data platform to the whole company. This is a greenfield project so you will be able to play your part in key decisions and our strategy from the outset.
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀
Deliver real impact to MoonPay’s mission by taking complex business problems and helping solve them through data-driven solutions
Build, test and deploy models to solve business challenges around fraud, compliance, customer lifetime value, customer churn
Contribute to designing our data science platform for model training and experimentation
Collaborate with data engineers, analysts and scientists to improve our overall data ecosystem and enforce best practices across the team and department
As a Senior you will be expected to
Mentor and coach other members of the team
Contribute to our overall approach and standards within the Data team
You should apply if ✅
You have excellent SQL skills
You have experience working with Python
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
You have a proven track record of building, deploying and maintaining machine learning models in a production setting
You have the ability to clearly communicate complex results to both technical and non-technical audiences
You have either had experience with some of our tech stack or are confident you can cross train and up skill quickly
You are proficient in English, both written and spoken
You have a self-starter, curious mindset and you proactively identify opportunities which lead to a real impact on the company
Bonus points if
You have previous experience working in FinTech
You have knowledge of cryptocurrency
Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.
Logistics 🛠
Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Zoom and tends to consist of the following stages:
Initial screen (30-45 minutes)
Remote take-home task
Final interview (2 hours)
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
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Data Scientist Podcast Monetization | Spotify |
We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.
A rarity in digital media, podcast advertising gets results for advertisers, allows creators to profit and (when done well) entertains listeners. Spotify — through its growing ads business and ongoing investment in original audio content — has the outstanding opportunity to amplify and scale what’s great about podcast ads by building the first truly digital podcast ad experience.
Our team is looking for a data scientist to join the band and help us define, build, and forecast our audience-based podcast ad offerings. This role will sit directly with our forecasting & analytics squad, partnering with our product manager to guide our roadmap and our engineers to launch new analytics offerings.
What You'll Do
Explore podcast and audience data to answer key questions on the future of podcast ad targeting
Conceptualize approaches and evaluate models for forecasting podcast ad inventory
Propose changes to our product roadmap based on quantitative insights
Perform analysis on large sets of data to extract impactful insights that will help drive product decisions
Contribute to the development of the Product Insights function and the wider data science community at Spotify
Who You Are
You know how to understand and solve loosely defined problems and come up with relevant answers to guide product development decisions
You have a deep understanding of numbers, as well as a strong business sense (preferably within advertising)
You have 4+ years of proven experience, with a degree in computer science, statistics, or mathematics or another quantitative field
You have familiarity with developing statistical or machine learning-based forecasting methods from ideation to implementation and deployment
You have the technical competence to perform analytics: wrangling and querying data (SQL), coding skills (such as Python, Java, or Scala), experience with analytics & visualization libraries (pandas, tidyverse, seaborn, ggplot), visualization tools (Tableau, and experience performing analysis with large datasets
You possess statistical competence (such as regression modeling, a/b testing, significance testing etc)
You're an effective communicator: stellar communication skills with the ability to distill sophisticated thoughts and strategies into simple, impactful recommendations
Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
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Presales Data Science Nyc East | Datarobot |
Job Description:
Pre-sales Data Science
DataRobot is the world’s premier AI and data science platform. Our Pre-sales Data Science team consists of applied data scientists, passionate about using machine learning to achieve real-world results. As part of the Pre-sales Data Science team at DataRobot, you will collaborate closely with DataRobot customers and bring expertise in data science and the DataRobot platform, to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Responsibilities
● In the pre-sales process, represent the DataRobot product to various personas across the customer organizations spanning from data scientists to C-level executives.
● Lead product demonstrations, align DataRobot to the vision of the customers’ goals, lead the Proof Of Value process, and quantify the business impact of DataRobot.
● Influence our customers through thought leadership by translating complex technical terms / processes into business outcomes / value-based messaging.
● Act as a trusted advisor on AI across the customer lifecycle; build champions by
enabling customers to solve complex data science problems using DataRobot –
including problem framing, data preparation, scripting, model building, model
deployment, model management, and output consumption.
● Work in tight partnership with the Sales team as well as our Success and Field
Engineering teams to ultimately support our customers achieving their goals with
DataRobot.
● Act internally as the voice of the customer to the Product, Engineering, and Marketing.
● Present at conferences and/or help create other marketing content.
Requirements
● 4+ years of experience either in a PreSales role (and with a motivation to learn Data Science) or in Data Science/predictive modeling. Strong candidates with 2+ years as a PreSales Data Scientist will also be considered.
● 2+ years of experience in customer-facing role.
● Bachelor’s degree, preferably in a quantitative subject.
● Hands-on experience building and implementing machine learning or AI models.
● Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes.
● Strong customer interaction, communication, writing, and interpersonal skills.
● Excellent project management and organizational abilities.
● Familiarity with a variety of technical tools for the manipulation of data.
● Ability to understand, write and collaborate with Python or R.
● Regional travel may be required.
Desired
● Advanced degree
● Familiarity with the consultative sales process in the data/analytics marketplace.
● Familiarity with data platform technology integrations.
● Experience dealing with complex customer organizations.
● Fluency with scripting in Python or R (preferably both).
All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
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Pre Sales Data Science Americas West | Datarobot |
Job Description:
Pre-sales Data Science
DataRobot is the world’s premier AI and data science platform. Our Pre-sales Data Science team consists of applied data scientists, passionate about using machine learning to achieve real-world results. As part of the Pre-sales Data Science team at DataRobot, you will collaborate closely with DataRobot customers and bring expertise in data science and the DataRobot platform to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Responsibilities
In the pre-sales process, represent the DataRobot product to various personas across the customer organisations spanning from data scientists to C-level executives.Lead product demonstrations, align DataRobot to the vision of the customers’ goals, lead the Proof Of Value process, and quantify the business impact of DataRobot.Influence our customers through thought leadership by translating complex technical terms / processes into business outcomes / value-based messagingAct as a trusted advisor on AI across the customer lifecycle; build champions by enabling customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumptionWork in tight partnership with the Sales team as well as our Success and Field Engineering teams to ultimately support our customers achieving their goals with DataRobot. Act internally as the voice of the customer to the Product, Engineering, and MarketingPresent at conferences and/or help create other marketing content
Requirements
4+ years of experience either in a PreSales role (and with a motivation to learn Data Science) or in Data Science/predictive modeling. Strong candidates with 2+ years as a PreSales Data Scientist will also be considered.2+ years of experience in customer facing roleBachelor’s degree, preferably in a quantitative subjectHands-on experience building and implementing machine learning or AI modelsExperience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomesStrong customer interaction, communication, writing and interpersonal skillsExcellent project management and organizational abilitiesFamiliarity with a variety of technical tools for the manipulation of dataRegional travel may be required, up to 25%
Desired:
Advanced degreeFamiliarity with consultative sales process in the data / analytics marketplaceFamiliarity with data platform technology integrationsExperience dealing with complex customer organizationsFluency with scripting in Python or R (preferably both)
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
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Pre Sales Data Scientist Federal | Datarobot |
Job Description:
Pre-sales Customer Facing Data Scientists (CFDSs) are critical to making our customers successful. An ideal CFDS candidate should have strong fundamentals of applied data science in a business or national security setting, and should enjoy communicating and evangelizing data science solutions to business and government stakeholders who are unfamiliar with Data Science and cybersecurity.ResponsibilitiesProductRepresenting the DataRobot product from a technical standpoint to customers – including demonstrations, conducting proof-of-concept trials, helping clients evaluate success criteria, and training users.Providing the customer’s point of view to DataRobot’s Product team, informing the direction of future product feature development.Ability to iterate and visualize new solutions against historical cybersecurity problems through the application of AI/ML and the DataRobot platform.Data ScienceEnabling customers to solve complex data science problems using DataRobot – including problem framing, data preparation, model building, model deployment, model management, and output consumption.In some cases, executing data science workflows for customers.Providing data science knowledge and expertise as a trusted advisor to the client.Project managementConducting and managing data science projects with customer’s vision of success in mind.Collaborating with Intelligence professionals, Sales, Field Engineers, and the rest of the DataRobot team to identify the best possible resources to move forward customer’s projects.LeadershipBuilding a long-term trusted relationship with the customer so that the customers can be led towards success.Understanding and empathizing with customers’ pain points of building AI solutions.Qualifying opportunities through self directed research and application of the DataRobot platform.Presenting DataRobot in industry conferences as well as creating powerful technical content for marketing purposes.On a day-to-day basis, CFDS work side-by-side with the Sales, Account Management, and Field Engineering teams to help our customers achieve their goals with DataRobot. Internally, CFDS act as the voice of the customer to the Product, Engineering, and Marketing teams.Main RequirementsAutonomous curiosity for solving cybersecurity problems through data science4-5+ years of real-world business experience in a data science roleMinimum 1 year working with or across the cybersecurity fieldHands-on experience building and implementing predictive models using machine learning algorithmsStrong customer interaction experienceStrong project management skillsExcellent organizational, communication, writing and interpersonal skillsFamiliarity with a variety of technical tools for the manipulation of datasetsFluency with scripting (Python / R)Up to 50% travel onsite within the Washington, DC area Clearance Requirements:Must have an active TS/SCI Desired SkillsFamiliarity with consultative sales process in the analytics marketplaceFamiliarity with Hadoop and related Big Data technologiesExperience dealing with complex customer organizationsFamiliarity with current network/cybersecurity tools such as WireShark, Bro/Zeek, Snort, pfSense, etc.Familiarity with JSON, STIX TAXI 2.1.
All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
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Data Scientist Amer East | Datarobot |
Job Description:
Data Scientist
DataRobot is the world’s premier AI and data science platform. Our Data Scientists are experienced applied data scientists, passionate about using machine learning to achieve real-world results. As a Data Scientist at DataRobot, you will collaborate closely with DataRobot customers to bring expertise in data science and the DataRobot platform to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Responsibilities
Be the DataRobot product and data science subject matter expert to our customers by leading implementation, advising on the viability and execution of use cases, helping to develop Joint Success Plans (JSP), and leading the execution of them.Ensure the success of our customers by helping to achieve quantifiable Value Realisation Indicators - Leading to renewals / expansions furthering the growth of both our customers and DataRobotAct as a trusted advisor on AI across the customer lifecycle; enable customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumptionWork side-by-side with our sales and success teams to help our customers achieve their JSP and quantify the business impact of itIdentify opportunities to expand our relationship with customersAct internally as the voice of the customer to the Product, Engineering, and Marketing teamsPresent at conferences and/or help create other marketing content
Requirements
4-5+ years of real-world business experience in a data science roleBachelor’s degree, preferably in a quantitative subjectHands-on experience building and implementing machine learning or AI modelsExperience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomesStrong customer interaction, communication, writing and interpersonal skillsExcellent project management and organizational abilitiesFamiliarity with a variety of technical tools for the manipulation of dataFluency with scripting in Python or R (preferably both)Regional travel may be required
Desired
Advanced degreeFamiliarity with the consultative sales process in the analytics marketplaceFamiliarity with data platform technology integrationsExperience dealing with complex customer organizations
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
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Data Scientist | Sofia |
About SofíaAt Sofia we want to change the way millions of people take care of their health by offering a health plan that is more complete, simpler to understand, and closer to anyone who wants to live a healthier life. We want to build a thriving community that deeply changes the way the health system works.About the roleAs a Data Scientist at Sofía, you will be positioned to significantly impact the lives of millions of people and you will be continuously exposed to strategic discussions and decisions.Responsibilities Use qualitative, analytical, and predictive methods to understand how our Soci@s can improve their health while engaging with our product in a meaningful way. Discover, understand and structure different data sources into clean data models that unlock self-service analytics. Define, implement, and monitor key performance metrics for all teams across Sofía. Empower our operation with self-service tools (dashboards, data cubes, etc.) to better understand and serve our Soci@s. Work closely with Product, Engineering & Marketing/Growth teams to help them shape their roadmap and strategic priorities. Design experiments to evaluate initiatives that are live and identify areas for improvement. What We're looking for 3+years of work experience in a quantitative analytical role. Proficiency with statistical software (e.g., R, Python), database languages (e.g., SQL), and code versioning tools (e.g., Git). Proven experience articulating, translating, and solving business problems through data. Self-direction and eagerness to collaborate with other teams (Product, Engineering, Maketing/Growth). Effective written, verbal and visual communication skills. Willingness to both teach others and learn new techniques. Bonus points: Knowledge of health care, health economics, or health insurance. Applied experience deploying machine learning models into production. Experience extracting and manipulating large datasets with tools like Presto or Spark. Postgraduate degree in a quantitative discipline (e.g., Mathematics, Computer Science, Statistics, Economics, Actuary, Operations Research, Industrial Engineering, etc.).
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Practice Manager Data Science Engineering | Rackspace |
As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.
If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.
Overview
As a Big Data Architect, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.
If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?
About the role:
Data scientist or engineer experienced with leadership experience and familiarity with machine learning, data analytics, big data processing, data lakes & warehouses, and related technologies and architectures.
Expected to lead and manage teams of data scientists and data engineers on various data and machine learning projects.
Required experience developing solutions on a major cloud platform, as well as demonstrated people management experience.
Expected skills to include cloud architecture design and implementation, as well as experience with machine learning tools and libraries. Expected to have demonstrated technical leadership in the development of multiple successful production solutions.
Expected to have demonstrated people management skills with direct reports.
Experience with neural networks, computer vision, language processing, big data processing, or other machine learning sub-domains is desired.
Familiarity with data engineering languages and platforms, such as SQL, Spark or Hadoop, is desired. Familiarity with managed machine learning services on a major cloud platform is also desired.
Candidate will be expected to lead projects to solve a variety of problems by developing cloud-based solutions for customers.
Candidate should be able to work independently, demonstrate technical leadership and people management experience, and have excellent communication skills.
Location
This is a virtual role
The candidate needs to be based in US or Canada
Location
This is a virtual role
The candidate needs to be based in US or Canada
#LI-VM1
#LI-Onica
#LI-Remote
#LI-USA
#LI-Canada
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
Position is available for remote work in the following states unless otherwise specified. Alabama, Arizona, Arkansas, California, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.
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Senior Data Scientist | Devoted Health |
A bit about us:
We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.
That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly.
"We want to partner with people we love for a cause we believe in. Life is short. Join us."
A bit about this role:
We are looking for a Data Scientist who can serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This role will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.
Responsibilities will include:
Working closely with key business stakeholders to understand the analytical needs of the business and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help Operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve our tools and processes so we can deliver results more quickly and accurately
Communicating results to an audience of mixed technical backgrounds
Required skills and experience:
Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis to influence the business
#LI-BC1
#LI-Remote
If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.
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Senior Data Scientist | Handshake |
Your Impact
At the heart of Handshake product development is an experimentation-driven culture led by data scientists and engineers. This is a high-impact position where you will not only influence product strategy and decisions affecting millions of students and young alumni but also build the very products that democratize opportunity by enabling those users to find great jobs. We know that connecting students with jobs and employers can be so much more than string matching buzzwords in resumes and job descriptions. If you want to make a mark on both our organization and the job search experience for millions of students while growing as a data science leader, then this role is for you.
Your Role
Develop the algorithms and data pipelines that connect users across the Handshake marketplace, from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
Find the signal in the noise and turn massive datasets into rich, relevance-enabling feature sets. Employ Natural Language Processing and feature engineering techniques to turn relatively unstructured data sources like job descriptions into “matchable” hiring criteria.
Provide technical leadership to a growing team of curious and highly motivated data scientists.
Be a tactful and effective partner to product managers; help design and analyze experiments and proactive analyses that drive key product decisions and unlock invaluable insights.
Be an ambassador for data-driven product development at Handshake. Present your research, including metric development and measurement methodologies to all levels of the company, clearly and concisely.
Your Experience:
Experience building, implementing, and iterating on data and/or machine learning powered products and/or conducting relevant academic research on large data sets.
Knowledge of machine learning practices with a focus on topics such as search and relevance, recommender systems, natural language processing, and/or Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn)
Experience working directly with cross-functional teams such as leadership, product management, engineering, and design
Experience using modern analytics tools such as Python, R, Spark, BigQuery, Snowflake, etc.
Ability to start, own and drive projects to completion with minimal guidance
Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to any audience (e.g. presenting findings and deep-dives to senior leadership)
Bonus Areas of Expertise:
Experience working on small, scrappy, and growing data science teams
Knowledge of Google Cloud technologies and Airflow
Mentorship of both data scientists and would-be data science partners
Developing and deploying production-quality machine learning pipelines and models
Compensation Range:
$147,950 - $202,000
Benefits:
Stock: Ownership in a fast-growing company.
401k: We care about your ability to save for your future.
Family Focus: Parental leave and flexibility for families.
Time Off: Flexible vacation policy to encourage people to get out and see the world.
Healthcare: World-class medical, dental, and vision policies.
Goodies: Whatever hardware and software you need to get the job done.
Team Fun: Regularly scheduled events, sports, game nights, book clubs.
Learning: Learning & Development opportunities for you to grow your skills and career.
Great team: Working with fun, hardworking, nice people who are committed to making a difference!
...And much more!
We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.
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Data Scientist Personalization | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.
About the team
The Applied Research - Personalization team’s goal is to comprehensively understand our users, create representations of their behavior and complex interactions with our content, and deliver user models that drive ML product features. This is accomplished as a team of aligned, talented and collaborative data scientists.
About you
You are excited by the opportunities and challenges of working on Scribd’s unique and massive dataset consisting of interactions of hundreds of millions of pieces of content with hundreds of millions of users. You enjoy representing our users in models and measure your contribution in terms of user impact.
You will
- Deeply understand our data and define how user interactions create signals for ML models.
- Take full advantage of our scale of data. For example, use Transformers and other state-of-the-art deep learning architectures to extract rich user embeddings.
- Optimize personalization for new users by integrating other sources of data and innovating on models. For example, use Bayesian methods to smoothly combine priors about user segments with data-rich modeling approaches.
- Increase the effectiveness of the team on a technical and problem-solving level through thoughtful collaboration with other Data Scientists, Machine Learning Engineers, and System Engineers.
You Have
- 2+ years of experience in data science or related field.
- Bachelor's degree in a quantitative discipline. Master’s or Doctorate degree preferred.
- Interested or experience with personalization features, user modeling
- Intermediate level or greater experience with Python.
- Experience with SQL and Spark is a plus.
- Exposure to TensorFlow and embedding-based deep learning architectures is a plus.
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Equity - Every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Data Scientist Intelligent Systems | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.
About the Team
Applied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from prototype to production. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts.
About You
You are a curious person who enjoys tackling hard problems. You got into data science because you love being at the forefront of what is possible and the idea of building intelligent systems that scale to reach millions of people inspires you. As a data scientist, you have a deep appreciation for project-based learning and picking up new skills of all kinds, both technical and interpersonal.
You will
- Build reproducible and scalable ML models in Python and Spark.
- Work with large, complex data sets to solve difficult, non-routine analysis problems.
- Develop comprehensive knowledge of Scribd’s data structures and metrics.
- Write up analyses and produce visualizations that estimate the impact of potential projects and evaluate the business results produced by the ML models.
- Take complicated concepts, systems, and processes and clearly communicate what matters to stakeholders.
You Have
- 1 to 2 years experience in data science or ml engineering.
- BA/BS in a quantitative discipline.
- Intermediate level or greater experience with Python and SQL.
- Sufficient statistical skills to make effective ML modeling tradeoffs.
- Experience with at least one of the following fields: natural language processing, deep learning, computer vision, and bayesian statistics.
- An aptitude for learning what’s necessary to solve a business problem and make a positive business impact.
- A sense of energy, passion, and personal responsibility.
- A keen interest in keeping up to date in the field of ML by reading papers and attending classes or conferences, using these state-of-the-art approaches to tackle business problems.
- Preferred: Experience building data pipelines and models with Spark.
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Equity - Every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Data Scientist Content Modeling | Scribd |
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.
About the team:
Applied Research Content Modeling is a team of data scientists who extract quantitative understanding from the complex unstructured data in our growing corpus of varied multi-modal content. We are a world class AI/ML organization whose mission is to break new ground in how our customers discover content.
We are skilled in employing a diversity of methods from metadata extraction, natural language processing, computer vision, to classification. We build the rich semantic connections between our content and our users. We strive to know our users better than they know themselves, enabling us to transform personalized discovery experiences.
We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from research prototype to production system serving product features. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, slides and podcasts.
You will:
- Build ML models in Python and Spark
- Leverage state-of-the-art models using deep learning frameworks such as PyTorch and Tensorflow
- Work with Senior Data Scientists to operationalize data science projects
- Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups
- Investigate methods of solving our most challenging problems at Scribd.
You Have:
- 1-2 years of experience deploying machine learning models (natural language processing experience preferred)
- Beginner level or greater experience with SQL and Spark
- Intermediate to advanced knowledge with Python
- Intermediate level in at least one of these fields: natural language processing, deep learning, computer vision, and bayesian or frequentist statistics
- A keen interest in learning what’s necessary to solve a business problem and make a positive business impact.
- Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics)
Benefits, Perks, and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Equity - Every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior Applied Data Scientist | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for
The Applied Data Science (ADS) Team is the advisory arm of Civis Analytics, working closely with governments, companies, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
As a Senior Applied Data Scientist, you will structure hard problems, define our methodological approach, collaborate in cross-functional teams, and be responsible for project milestones and presentations. You will also be a mentor to other data scientists, potentially managing newer hires, contributing to internal assets, and fostering learning and collaboration. You will work closely with our Applied Data Science Leads and our Director to develop relationships, partnerships, and proposals for new governmental work, and may take responsibility for entire projects or accounts as you grow in your role.
Responsibilities
A Senior ADS runs the end-to-end execution of client engagements utilizing data science, which includes:
Handling client relationships and communication on day-to-day projects and initiatives, with stakeholders of varying technical experience or familiarity with methods
Leading and structuring project research design, including statistical analysis, data visualization approaches, and data management methods, and working with cross-functional teams of data scientists, data engineers, and data analysts where necessary to create and implement solutions
Translating findings into clear, actionable, and timely insights with the appropriate business context
Other job responsibilities of a Senior ADS include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting ADS Leads in new business development by scoping projects, writing proposals, and building case studies and other collateral
Maintaining a continuous and independent education of cutting-edge statistical techniques and programming languages
Teaching and mentoring more junior Applied Data Scientists
Minimum Qualifications
Bachelor’s degree in an analytical subject (statistics, math, biostatistics, epidemiology, political or social science, computer science, etc.)
5+ years of work or post-graduate experience in a field of analytical science
Shown affinity for and experience working with large or messy data sets
Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Proficiency with presentation or data visualization software, such as Tableau, Shiny, etc.
Familiarity with modeling techniques, including predictive analytics
Excellent interpersonal and communication skills
US work authorization
Salary for this role is 100-103K base.
Preferred Qualifications
MA or MS in an analytical subject
Experience leading projects, including managing the work of colleagues
Proven affinity for and experience mentoring teammates
Experience with analytics for the public sector
Experience with collaborative coding tools including Docker and Github
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Applied Data Science Political Internship Summer | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we're looking for
Civis Analytics is looking for Applied Data Science interns to join our ADS practice and help us solve some of the most challenging and interesting questions facing organizations today.
The Applied Data Science (ADS) Team is the advisory arm of Civis Analytics, working closely with governments, companies, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
While this is a politically-focused role, individuals have succeeded in this role with a range of backgrounds outside of direct campaign experience, including academic experience in political science or statistical research. Members of our team have educational backgrounds in physics, political science, philosophy, and more.
Minimum Qualifications
2023 graduate pursuing an undergraduate degree in social science, mathematics, statistics or a similarly analytical subject
A demonstrated history of using data in research or applied settings to solve complex problems or make strategic decisions
Demonstrated passion for progressive causes, political data, and/or campaigns
Experience identifying, working with, and adapting to imperfect data
An ability and eagerness to constantly learn and teach others
Demonstrated ability to work independently and in teams
Experience with statistical packages (R, Python, etc) and statistical concepts
Ability to communicate complex analysis to differently technical audiences through strong written and oral communication skills
Resourceful - not easily deterred by setbacks
Preferred Qualifications
Experience with data cleaning, wrangling
Proven track record of working with ambiguous problems
Experience or expertise with SQL
Experience putting together and giving client-ready presentations
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
Remote internship opportunity
Paid internship - $25.00/hr
Weekly lunch & learns
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
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Applied Data Science Internship Summer | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we're looking for
Civis Analytics is looking for Applied Data Science interns to join our ADS practice and help us solve some of the most challenging and interesting questions facing organizations today.
The Applied Data Science (ADS) Team is the advisory arm of Civis Analytics, working closely with governments, companies, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.
Minimum Qualifications
2023 graduate pursuing an undergraduate degree in social science, mathematics, statistics or a similarly analytical subject
A demonstrated history of using data in research or applied settings to solve complex problems or make strategic decisions
Experience identifying, working with, and adapting to imperfect data
An ability and eagerness to constantly learn and teach others
Demonstrated ability to work independently and in teams
Experience with statistical packages (R, Python, etc) and statistical concepts
Ability to communicate complex analysis to differently technical audiences through strong written and oral communication skills
Resourceful - not easily deterred by setbacks
Preferred Qualifications
Experience with data cleaning, wrangling
Proven track record of working with ambiguous problems
Experience or expertise with SQL
Experience putting together and giving client-ready presentations
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
Remote internship opportunity
Paid internship - $25.00 /hr
Weekly lunch & learns
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency
|
Research Scientist Machine Learning | Graphika |
Company Overview
Graphika’s mission is to map the world’s social media networks, so that online spaces can thrive authentically. We create large-scale, in-depth maps of social media landscapes and conversations to help businesses discover how communities form online and how influence and information flows within large scale networks. Founded on the pioneering work of social and network science scholars, Graphika uses deep learning to identify the people, connections, messages, and conversations online that matter for customers from Facebook and Twitter, to T-Systems and ABinBev. Our interdisciplinary team uses our unique, patented set of technologies and tools to create and apply new, rigorous analytical methods that enable customers to engage in online communities meaningfully to grasp opportunities or mitigate risk online. Our work has informed the U.S. Senate Select Committee on Intelligence on election interference.
About The Role
Graphika seeks a research scientist with experience in machine learning to join our applied science team. We work at the cutting edge of computational social science to develop new methods for network and narrative analysis, integrate those methods into our product, and share our results with the wider scientific community. As a research scientist, you will construct machine learning models to answer challenging social science questions on top of large social media datasets. You will work closely with our analyst team to develop models that support their discovery of insights and narratives (including disinformation narratives) in social systems. You will also work closely with our data systems team to construct pipelines for scaling and productizing these models. This is a part-time contractor or part-time or full-time employee role.
Areas of Responsibility
develop machine learning models for applications such automated cluster labeling, narrative extraction, and stance detection
implement machine learning models in robust, scalable code for further pipelining and productization
contribute to patent applications based on your work (you will be listed as a co-inventor on the resulting patents)
contribute to novel grant proposals in computational social science
collaborate with external researchers in the field on via funded grants and publications
Ideal Candidate Profile
You have experience developing machine learning models for social science applications, including but not limited to: social network analysis, natural language analysis, statistical or agent-based models of social systems. You have experience implementing these models in code in a collaborative environment, working with a team to optimize your code and adhere to best practices. You are comfortable applying your technical expertise to new domains. You love to take on complex problems, and can work independently. You have a working knowledge of computer science fundamentals like algorithms, data structures, and time complexity.
You think beyond the task at hand and try to understand the 'why' behind what you are doing. You can maintain a focus on the applied outcomes of your research, understanding that done is often preferable to perfect.
You are an enthusiastic teammate, who engages in collaboration and proactive discussion. You are an effective communicator who can clearly describe technical concepts for different audiences -- for example, you can explain the significance of your work both to a fellow researcher and to a product specialist. You work with confidence and without ego. You have deep knowledge and exercise a high degree of ownership in your daily work. You have loosely-held, defensible ideas, and advocate for what you believe is right. You can surface your unarticulated assumptions. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to support your fellow teammates.
Qualifications
Required:
Experience in developing machine learning models in an applied, collaborative environment with actionable outputs
Experience writing robust scalable code in Python that is understandable, testable, and has an eye towards maintainability
Experience collaborating with a multidisciplinary team and juggling multiple research priorities
Experience generating research outputs (reports, scientific papers) from technical work
Ability to work legally in the US without visa sponsorship
Nice to have:
Experience with social science applications of machine learning models
Experience developing production engineering code in an industry environment
Experience with deep learning models
Experience with social network analysis
Experience contributing to scientific grant proposals
Experience working on patent applications
Ph.D. in a social science or computer science field
All Graphika Tech Team Members...
Understand and appreciate good software engineering practices, including version control, code reviews, testing, and refactoring
Are comfortable debugging and optimizing code
Write tests to make sure code is reliable
Help shape technical decisions within the team
Collaborate within and across departments to ensure successful product creation
Have the ability to pick up new tools and technologies as needed
Education Requirements:
Master's degree or equivalent work experience
Salary commensurate with experience
Benefits
Unlimited Paid Time Off (PTO), with a company-mandated minimum of 10 days of vacation time taken per year; There are also a minimum of 12 Graphika holidays
100% healthcare (health, vision, dental) premium coverage for employees; 50% premium coverage for families
401(k)
Access to Samata Health Therapy Platform, with six free sessions for all Graphikans
Remote personal office setup stipend + 20% of home internet costs covered
Location
Prior to COVID-19, Graphika's technology team was mostly co-located in our NYC office but continues to be fully-distributed today. As a result, we are happy to consider applicants who are located in the continental US, with the caveat that the technology team works on Eastern time and begins their day at around 10 AM. Daily Standup is at 10:30 AM EST.
Graphika is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
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Machine Learning Researcher | Lambda |
Lambda's mission is to accelerate human progress with computation. Our deep learning systems push advancements in quantum computing, cancer detection, autonomous aircraft, drug discovery, self-driving cars, and much more. Our customers include Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Harvard, Stanford, Caltech and the Department of Defense.
Our Machine Learning team's mission is to bring world-class ML expertise to our products and services. The team plays a significant role in Lambda’s consultancy arm -- a group of engineers and researchers with deep experience in machine learning, software engineering, and computing infrastructure. We work innovatively on exciting new technologies to keep our services and our customers ahead of the competition.
About the Role
We are hiring a machine learning researcher to work on applied research. You will join a lean ML team and have a strong impact on both external consultancy projects and internal research and development. Your main responsibilities are:
Help the team to identify, implement and test technical solutions for Lambda’s consultancy projects.
Prospect ideas for internal projects and help the team to create IPs in the form of scalable services, licensable tools and custom models.
What You’ll Do
Contribute to our machine learning consultancy projects with applied research.
Conduct, document and reduce the turnaround cycle of our ML experiments. Present the findings to your peers and customers in a clear and concise manner.
Contribute to internal development of scalable services, licensable tools and custom models.
Bring machine learning insights to our sales engineers and customers in the forms of technical blogs, benchmarks, or research publications.
Propose and lead your own research project.
You
Have an MS or PhD degree in EECS or related field, or equivalent work experience.
Are a highly effective team collaborator and strong communication skills
Have a proven track record of optimizing state-of-the-art machine learning methods in terms of quality, speed, memory footprint or scalability.
Have a proven track record of managing large datasets and experiments.
Have a proven track record of writing reproducible ML code and significant contribution to open source projects.
Have knowledge of machine learning theory.
Have proficiency with Python and major ML frameworks such as PyTorch or TensorFlow.
Nice to have
Participated in research work published by major conferences/journals in ML or related fields.
Experience in running ML jobs distributedly at scale, or highly efficiently on custom edge devices.
Experience in CUDA programming
Experience in MLOps
Experience in full stack software development
About Lambda
We offer generous cash & equity compensation.
Investors include Gradient Ventures, Google’s AI-focused venture fund.
We are experiencing a high rate of growth and have 10x’d over the last 3 years.
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
We have a wildly talented team of 60, and are growing fast.
Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco.
Health, dental, and vision coverage for you and your dependents.
Commuter/Work from home stipends.
401k Plan.
3 weeks Annual Paid Time Off.
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda Labs is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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Senior Data Scientist Marketing | Twilio |
See yourself at Twilio
Join the team as our next Senior Data Scientist, Marketing.
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
Twilio is growing rapidly and seeking a Senior Data Scientist to accelerate the growth and efficiency of our sales-funnel. Reporting to the Marketing Analytics Lead, you will be working closely with various marketing partners to jointly drive improvements and results not just at the top-of-funnel, but across our sales motion. This includes enhancing campaign attribution, improving metrics and measurement frameworks, analyzing marketing performance results, and recommending growth opportunities to take the business forward.
Responsibilities
In this role, you’ll:
Develop insights and recommendations through exploratory analysis, hypothesis testing, analyzing results from experimentation, and building models
Work with cross-functional partners in Marketing to define metrics, forecast their targets and refine the attribution framework to achieving them
Creatively leverage new and existing data to increase the effectiveness and efficiency of our decision-making infrastructure
Define and monitor key metrics and market intelligence to derive insights and identify opportunities for evolving products.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Have 6+ years of work experience, particularly at technology startups and at least 2+ years in the marketing domain
BS/MS in a quantitative or technical field
Expert level SQL skills and dash-boarding skills in tools like Looker or Tableau
2+ years of experience with metrics, A/B testing and experimentation
Have strong business acumen and a deep sense of curiosity
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
Familiarity with statistical modeling and statistical programing languages like Python or R is a plus
Location
This role will be remote based in the USA.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
Colorado applicants:
The estimated pay range for this role, based in Colorado, is $96,096 - $151,008.
Additionally, this role is eligible to participate in Twilio's equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Senior Data Scientist Talent | Cameo |
At Cameo, we make impossible connections possible. Our platform allows fans to get personalized messages from their favorite comedians, actors, athletes, and more.... not gonna lie, it’s pretty magical. And now we’re looking for passionate, hardworking humans to help take Cameo to the next level.
�� Our #Fameo means everything to us. Join a stellar team of smart, curious, and driven individuals, and experience a rocketship from its earliest days.
�� Best in class. We’ve been named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, and the #1 Most Innovative Social Media Company by Fast Company.
�� Work from anywhere in the U.S. We’re a remote first company with an entirely distributed team.
��Get all good stuff. Health insurance, 401(K), access to resources of a top tech incubator, and opportunities to connect with Talent on Cameo (looking @ you, Snoop Dogg).
Come to work every day knowing your efforts will have a material impact, shaping the direction of the next outstanding tech company!
The Team - Talent Data Science
Cameo is committed to making data and data science a core competency and source of competitive advantage. The Talent Data Science team is at the heart of that effort. Our mission is to understand how Cameo’s marketplace works and turn that understanding into impactful insights for three core customers:
Talent - the famous people on Cameo
Talent Acquisition - the people who bring new Talent to Cameo
Talent Relations - the people who Roll out the Red Carpet for Talent every day
To do this, Talent Data Science develops unique data sets, analyses structured and unstructured data, and synthesizes business-changing insights in terms our customers understand. We measure our success based on whether our recommendations are adopted and ultimately move the needle for both talent and Cameo. The types of questions Talent DS answers include: what is the ideal price for a Talent? Which Talent should we bring onto the platform next? What can Talent do to improve fan happiness? What’s the best use of our Talent Relations team’s time?
The role
This role is ideal for an experienced, client-centric data scientist who can operate comfortably in both technical and non-technical realms and distill complex analyses into concrete advice for the business. You will be responsible for identifying and scoping projects, setting success measures, designing and conducting experiments and analyses, and working between the business and data infrastructure teams to ensure your findings get into production and improve talent performance. You should be comfortable operating across the technical stack. This role will work closely with teams whose objectives are to support the Talent on Cameo at scale via recommending product changes and providing automated insights to Talent.
What you’ll do
Be a trusted thought partner to Cameo’s Talent Success organization
Originate and execute strategic analyses that inform key business and product decisions
Synthesize findings for a wide array of internal and external audiences
Drive innovation into the product and business processes that support Talent
Perform ad-hoc analyses and build self-service tools to support the Talent Success team
Build models to provide advice to Talent on how to improve their performance on the platform
Partner with data and product engineers to to implement the needed infrastructure to support on-going operations
What you bring to the table
5+ years experience in data science
Fluency in modern programming paradigms and data manipulation. Fluency in Python, SQL, and Tableau or Looker preferred.
High energy, positive attitude and commitment to Cameo’s values
Comfort working in a demanding, fast-moving, and fully-remote environment
Experience structuring and delivering strategic projects, leveraging advanced technical methodologies
Knowledge of how to craft a compelling narrative from analytical insights
Comfort presenting insights in an understandable way to all types of stakeholders (Talent, Executives, technical teams, front-line colleagues)
Intrinsic motivation and ability to learn new skills
Curiosity about how Cameo’s three-party market works for all parties
Cameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity.
Please consult the Notice to California Residents contained in Cameo's Privacy Policy available at https://www.cameo.com/privacy for information regarding your rights under the California Consumer Privacy Act if you are a California resident.
We are working on becoming compliant with Colorado regulations. Until then, this role can not be performed in Colorado.
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Staff Data Scientist | Quora |
[As of June 2020, Quora has become a "remote-first" company. This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders. With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist at Quora, you'll work closely with product managers, product designers, and engineers to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. Quora has a wide range of rich data, giving you ample room for exploration and creativity. Examples of some projects our data scientists have worked on include modeling our long-term growth, improving the relevance and personalization of the homepage feed, and exploratory analysis of factors driving question-asking behavior. For more about our work, see Quora's Data blog at https://data.quora.com/.
As a staff data scientist, you will draw on your experience to excel not only in your own work but also to elevate data’s impact at a company-wide level. You will provide team mentorship that propels the work of your colleagues while helping to establish best practices for data usage across Quora.
Responsibilities:
Extract actionable insights from broad, open-ended questions
Create, design, and evaluate experiments to measure the impact of product changes
Analyze data from across the product to uncover the root causes of metric movements
Communicate data-driven results to cross-functional stakeholders to inform product decisions
Develop tools to scale and automate analyses, improving productivity across the company
Improve the work of other data scientists through mentorship and by bringing industry best practices to the team
Minimum Qualifications:
Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time). Learn why here
5+ years work experience in an analytical or quantitative role as a Data Scientist or similar title
3+ years experience working on product analytics
Extensive experience generating insights using statistical techniques (e.g. regression, hypothesis testing)
Demonstrated ability to clearly explain data results to cross-functional teams
Experience using a procedural programming language (e.g. Python, R) to manipulate, clean, and analyze data
Ability to exercise judgment and combine quantitative skills with intuition and common sense
Experience evangelizing best practices and process improvements on your team
Preferred Qualifications:
Experience working with large data sets and distributed computing tools (e.g. Redshift, Presto)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#li-remote
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Senior Data Scientist | Recharge Payments |
Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Senior Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Senior Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do
Live by and champion our values: #day-one, #ownership, #empathy, #humility.
Design, develop, implement, and optimize models that answer key business questions.
Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment.
Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains.
Partner with data engineering and feature teams to gather data from a wide array of disparate sources.
Evaluate, recommend, and implement state-of-the-art tools ensuring effectiveness, scalability, and reliability across the entire. machine learning pipeline.
Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance.
What you’ll bring
Typically, 5+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer) in fast-paced environment
Track record of building, deploying, and maintaining machine learning models
Strong proficiency in Python and SQL
Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
Basic familiarity with R, or another programming language
Experience with Tensorflow is a bonus
Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
M.S./Ph.D in a quantitative field
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Data Scientist | Recharge Payments |
Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do
Live by and champion our values: #day-one, #ownership, #empathy, #humility.
Design, develop, implement, and optimize models that answer key business questions.
Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment.
Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains.
Partner with data engineering and feature teams to gather data from a wide array of disparate sources.
Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance.
What you’ll bring
Typically, 3+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer)
Track record of building, deploying, and maintaining machine learning models
Strong proficiency in Python and SQL
Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
Basic familiarity with R, or another programming language
Experience with Tensorflow is a bonus
Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
M.S./Ph.D in a quantitative field
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Data Scientist Marketing | Figma |
Figma is adding to our team of passionate people who are revolutionizing the world of design. We are building a browser-based design tool that looks and feels as good as a native application and has all the additional power and advantages that come from being built upon the web platform. If you’re looking to work at a dynamic company who is building the future of design tools, welcome to Figma.
We are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization. The ideal candidate will have a strong track record of executing analytical projects as well as partnering closely with business peers to guide decision making.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Refine attribution logic and create data-backed approaches to measure effectiveness of marketing spend
Design and evaluate conversion lift experiments to optimize campaigns and measure their incremental impact
Perform impact analysis and modeling for a variety of different marketing initiatives and projects
Evaluate and size the projected impact of new marketing strategies and how they connect to broader company goals
Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization
We'd love to hear from you if you:
2+ years relevant work experience supporting a Marketing or similar function
Fluency in SQL
Proficiency in Python, R, or similar scripting language
Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)
Firm knowledge around statistical methods and experiment design
Excellent judgment and problem solving skills
A self-starting mindset along with strong communication and collaboration skills
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team:
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D: The Decade of Design
Figma's engineering values
About Figma
Dylan Field and Evan Wallace co-founded Figma in 2012 with the vision of building tools for designers in the browser. Their goal was to create the first design tool that combined the accessibility of the Web with the functionality of a native app. Today Figma is a platform with tools and spaces to support the entire product development process—idea to design to build—and has simplified collaboration for companies like Microsoft, Uber, and The New York Times to name a few.
At Figma, we celebrate and support our differences. We know employing a team rich in diverse backgrounds, experiences, and opinions allows our employees, products, and community to flourish. Figma is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy.
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Data Scientist New Grad | Figma |
Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, create, test, and ship better designs, together. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!
The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences.
What you'll do at Figma:
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Communicate and document data logging and requirements
Build models to understand user behavior and predict growth
Provide thoughtful feedback to others on the team
Help grow Figma by interviewing candidates for teams across Data Science
We'd love to hear from you if you:
Are pursuing a degree in Statistics, Computer Science, Mathematics, Economics or other quantitative field (advance degree preferred)
Have at least one previous data science internship or relevant research experience
Are proficient with basic SQL
Have experience with R, Python, or similar scripting language
Have firm knowledge around statistical methods and models
Have a self-starting approach along with strong communication and collaboration skills
In your first few months, you'll:
Work with an onboarding buddy to make your first edits to our data tables and dashboards
Start to build deep context and expertise in Figma's data and product
Deliver your first product analysis
Read more about our team:
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Figma's engineering values
By the numbers: one year of remote work
Inside Figma: a Q&A with our 2021 interns and new grads
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please let your recruiter know if you require accommodation.
About Figma
Dylan Field and Evan Wallace co-founded Figma in 2012 with the vision of building tools for designers in the browser. Their goal was to create the first design tool that combined the accessibility of the Web with the functionality of a native app. Today Figma is a platform with tools and spaces to support the entire product development process—idea to design to build—and has simplified collaboration for companies like Microsoft, Uber, and The New York Times to name a few.
At Figma, we celebrate and support our differences. We know employing a team rich in diverse backgrounds, experiences, and opinions allows our employees, products, and community to flourish. Figma is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy.
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Data Scientist Product Analytics | Thyme Care |
Thyme Care is an oncology digital health start-up that’s focused on radically improving the cancer experience with early and ongoing intervention. We help patients, caregivers, clinicians, health plans, and employers by coordinating integrated care that leads to better results, lower costs, and aligned incentives. Every Thyme Care member is assigned a personalized team of physician-guided oncology nurses and resource specialists who provide education, guidance, and advocacy as they navigate the complex healthcare system. We facilitate quick access to quality resources and high-value care, coordinating directly with providers and offering support every step of the way. Our high-touch, tech-enabled model generates actionable insights that allow us to identify at-risk members earlier and offer them the most relevant support based on where they are in their cancer journey—closing gaps in care and eliminating excess spend.
Your Role:
As a Product Analytics Engineer at Thyme Care, you will be part of a tech team that is scaling quickly. Your focus in the role will be to deliver insights that guide the development of our core product: Thyme Box, our care navigation platform. You will also direct Thyme Care’s data-driven growth by working alongside our commercial teams as we build and launch our go-to-market strategies.
After three months on the job you will:
Understand our data ecosystem and workflows.
Translate data generated by our applications to derive insights and personalized interventions for our members.
Optimize our outreaches and improve the effectiveness of our care team.
Partner with our Clinical team to formulate metrics, measure quality and efficiency of our services, and make recommendations to our Product and Design teams for continuous iteration.
Build and refactor pipelines in our data warehouse for Thyme Box and other external data sources.
Build visualizations and share your analyses with the Product, Clinical, and Operations teams.
After six months you will:
Work closely with our Product, Clinical, and Operations teams to calculate, track, and visualize the metrics most critical to our business.
Partner with our commercial teams to refine our data-driven growth and strategies.
Be a data model subject matter expert and spokesperson through code reviews, pairing, and training.
Empower end users to answer their own questions by enhancing our data marts and educating on our data visualization platforms.
What leads to success:
Experience. You aren’t new to the data realm and have potentially worn multiple hats as a Analytics Engineer, Data Analyst, or a Data Scientist. You must be an expert in SQL, and it will be helpful to have some experience working with dbt and python.
Net-new development. You've built and deployed impactful, production-ready data pipelines and analytics data marts.
Curiosity. You’re driven to understand how things work and love sharing that knowledge with others.
Comfort with ambiguity. You have a proven track record of success within scaling businesses, fast-paced environments, and ambitious startups. You know how to chart a course through ambiguous challenges.
Patient-first approach. You’re personally motivated by our mission to create a better cancer journey for all and excited by the tech we are building. You have a passion for seeing your work in action to solve meaningful problems.
We recognize a history of inequality in health care. We’re here to challenge these systems with a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the patients our products serve. We are an equal opportunity employer.
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Principal Data Scientist | Drivewealth |
About The Role
As a Principal Data Scientist in Data and Analytics Organization at DriveWealth, you will help DriveWealth discover the information hidden in our data and provide insights for our partners and partners’ clients. These insights will help our partners expand their offerings and increase their client base as well as different use cases applicable for fin-tech industry. You will collaborate and partner with different teams across the organization to collect, organize, and analyze data to derive insights that help in powering different business decisions. You will apply your knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
What You'll Do
You must be passionate and experienced in advanced analytics and deriving predictive insights for different use cases relevant to the fin-tech industry. You are passionate to stay current in Data Science, AI and ML by learning and applying the latest technologies and best practices. You will leverage cutting edge big data technologies on AWS or other leading cloud platforms.
You are able to work independently on modules and complete tasks from start to finish with minimal supervision and high quality. You are a leader and bold to seek feedback from other team members.
You will collaborate with executives, leaders and team members in business and technology to understand and translate business needs into data science use cases. You will help in identifying opportunities for DriveWealth for data monetization and also in the areas of client insights, risk management, risk modeling, asset allocation, fraud detection, compliance etc.,
You will work with your leader to define a roadmap for Data science, AI and ML at DriveWealth. You will work with your leader in establishing and growing a center of excellence for Data science, AI and ML.
You will select features, built and optimized classifiers using machine learning techniques such as random forest, xgboost, TensorFlow, Linear regression, Time series methods etc., You will research and recommend shared data science platform elements.
You will extend and enrich the company's data with external information sources as needed. You will enhance data collection procedures for information needed for analytical use cases.
You are a team player and able to work in a collaborative environment with a desire to share your knowledge and expertise. You will lead and mentor other data scientists and interns. You will work in an agile development environment. You will collaborate and work with other pillars of data and analytics organization at DriveWealth. These pillars include Data Governance and Data Architecture, Data Engineering, Business Intelligence and Data Visualization, Data and Analytics Operations.
What You'll Need
Graduate degree in a quantitative field such as computer science, mathematics, statistics, engineering.
Demonstrated ability and experience to leverage data science to drive and deliver business results. 7-10 years of data science experience in financial industry. Any recognitions received for data science skills or research articles or publications will be a plus.
Demonstrated skills and experience in translating business problems into data science use cases and communicating results to non-technical audiences.
Experience in writing production-grade machine learning models in Python or R programming languages.
At least 4 years of experience in research projects in academic or commercial environments
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Global Data Science Team Lead | Regrow |
Who we are
We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry!
Founded by globally-recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific and scalable solutions to the agrifood industry.
Our customers are frontrunners in agrifood and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable, and track partners’ progress against sustainability goals.
We're backed by leading investors, such as Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture.
Our Mission
Agriculture has the power to reverse climate change. We believe science and technology can help us get there.
Our goal is to use farmland to cool the earth. We are currently monitoring 150 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet.
Check us out on TEDx and TechCrunch for a preview of what we can do for our customers.
Job Summary:
We are seeking a Data Scientist to join regrow as a team lead and apply their skill/expertise to help us accelerate the digital agriculture revolution on a globally.
What You Will Do:
Assist with and coordinate the planning, design, and execution of all project deliverables across multiple simultaneous work-streams in support of programs reliant on remote sensing and data science.
Help align and coordinate the work of the Global Data Science and Remote Sensing science team to develop and implement algorithms that will help improve detection of crop and soil management practices, and drive the mechanistic models like APSIM and DNDC nationally and internationally.
Coordinate work effort between all dependent groups (including external research partners), teams, and tasks around remote sensing programs.
Manage product-related remote sensing and data analysis requests, and other support tasks to ensure timely execution of activities through solution acceptance by internal and external stakeholders.
Execute planning, status, and ad-hoc meetings for remote sensing team as required; keep project documentation for all initiatives and track and communicate risks and issues and execute mitigating steps, as necessary.
Provide advice and recommendations on the following: the effective use of available resources, enhanced control of the scope of work, recommendations regarding various architectural solutions across modeling tools, and product delivery methods suitable for each project or program, optimal project scheduling options, enhanced modeling outcomes (accuracy, uncertainty).
Analyze data and user needs to determine functional and cross-functional requirements.
Provides management oversight across multiple simultaneous projects or project tracts within remote sensing program.
Lead the Remote sensing team with the goal to research, develop and implement the algorithms to:
detect and map field boundaries, crop types, rotations, and agricultural practices (planting, harvest).
monitoring crop development and crop performance, including identifying crop growth stages.tracking crop stress and detecting areas where the yield damage is likely to occur early in the season.
provide mechanistic crop models (APSIM, and DNDC) with required input parameters based on crop and soil remote sensing.
Lead the research into multi-sensor remote sensing methods for consistent decision support and product availability globally.
Oversee and as required, analyze large remotely sensed, geospatial datasets for agriculture and rangeland applications to produce reports that address customers' needs; automate the reporting that is being requested multiple times.
Work closely with engineering and provide scalable inputs to parametrize the environmental, mechanistic models to scale internationally.
Liaise with selected customers on the topics related to crop and soil remote sensing.
Assist with the development of case studies and reports by providing insight into the agricultural interpretation of remote sensing products.
Your Background:
M.Sc. or Ph.D Degree in remote sensing, environmental science, natural resources, computer science, or related fields.
Strong experience with remote sensing of crops in the context of agricultural applications, preferably international.
Strong team leadership experience and capabilities to manage a team with a variety of backgrounds, including software engineers, scientists, and business teams.
Desire to be in equal parts manager and contributor.
The ability to translate your technical knowledge into insights accessible for our team and our customers.
Excellent programming skills in Python, knowledge of the software and product development life cycles, and experience developing applications independently, as well as in a team.
Experience with Linux/Unix, cloud computing
Experience with open-source geospatial libraries, e.g. GDAL, OGR, Fiona, Shapely
Extensive data analysis experience.
Who You Are:
You have a passion for delivering value to customers and solving messy real-world problems.
Experience and interest in agriculture, geography, process-based modeling.
Strong focus and desire to understand and meet customer needs, adjusting the models to meet the real-world requirements.
You can organize yourself and others in a globally structured environment.
*We value diversity! At Regrow, we know a diverse and inclusive team not only makes our products better but our planet better. We have employees across nine countries and three continents, and we’re committed to expanding our base of knowledge and experience.
Regrow is an equal opportunity employer and all applicants receive consideration for employment. We do not discriminate based on race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.*
If you like what you read and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you.
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Finance Data Analyst | Blockchain Com |
Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software at a time.We are growing the Data Team of our Finance Operations. We are looking for a Data Analyst who is looking to roll up their sleeves to help build the infrastructure and processes that will support growth in a fast, yet controlled manner. Reporting to and working with the Global Group Controller, this person is comfortable and confident in a high growth company where structure, procedures, and policy are in development, familiar with a fast pace. and is able to prioritize in building a scalable, efficient data function.
WHAT YOU WILL DO
Support the development of procedures for data architecture and governance, including reconciliation, gap analysis
Identify relationships and trends of historical and real-time transactions against crypto and cash movements, between entities in Blockchain.com and external parties.
Support Management business decisions with complex data retrieval, transformation, and analysis
Develop and deliver regular and ad-hoc business performance analysis and reporting including cost basis, profitability, financial statement
Enhance overall performance through automation, visualization, mathematical or statistical approach
Work collaboratively across product owners, finance, and other functional teams within Blockchain.com
Manage multiple priorities across a mix of ad hoc and operational projects
Process large amounts of data for statistical modelling and graphic analysis.
Develop data mining methodologies, including OCR, NLP, logistic regression, random forest, xgboost and Bayesian networks
Performs related duties as assigned or requested.
WHAT YOU WILL NEED
The foremost quality for this position or any position at Blockchain.com is integrity.
Minimum of 3 years experience
Degree in Computer Science, Information Systems Management, Business or related discipline.
Proficiency with data processing and data warehouse / big data environments.
Proficiency with designing data models, defining data architecture schema etc.
Experience in financial services/investment management.
Strong presentation and communication skills when working with internal teams and external vendors.
Excellent attention to detail and ability to work as a team to identify process improvements.
Capacity to meet deadlines while maintaining quality standards and effective time management
Adapt to a fast-paced continuous learning environment and show a willingness to take on additional responsibility where required.
COMPENSATION & PERKS
Unlimited vacation policy; work hard and take time when you need it.
Apple equipment.
Full-time salary based on experience and meaningful equity in an industry-leading company
US Benefits: Medical, Dental, Vision, 401K, Flexible Spending Account, Commuter, Life, Short Term & Long Term Disability.
APPLICATION
Resume/CV and LinkedIn profile.
Your favorite GIF.
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Analytics Data Scientist | Paper |
Reporting to the Director of Analytics, this is an individual contributor role that is responsible for designing and developing data enabled solutions that have strategic impact on the business and are built on the latest technologies. This individual will need to balance a strong command of technical skills along with outstanding soft skills so as to communicate with both senior executives and technical team members.
Responsibilities
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and distill a complex issue into actionable insights for decision makers
Partner with Data Engineering teams to solve problems, identify opportunities, and build data infrastructure
Analyse data independently to deliver insights about operational performance and proactively drive improvements
Investigate key problem areas by performing root cause analyses, corroborating quantitative and qualitative findings
Effectively plan and collaborate with functional teams (Product, Service, Revenue) on data driven initiatives to solve complex operational problems
Collaborate with operations and data-focused teams within and functional areas of the business to solve problems, develop solutions and share insights
Apply data expertise to successfully support cross-functional operational needs
Build Reporting tools for different functional areas of the organization for self-serve options
Query, transform, analyze and communicate findings effectively to answer ad-hoc analytical needs
Drive data strategy in a continuous improvement framework by working with Data professionals
Qualifications
BA/BS/MS in a quantitative field; Full Time diplomas in Data Science is an applicable option
3 - 5 years of experience data, reporting, analytical problem solving
Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ
Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)
2+ years hands on experience in SQL, Python, R, and other languages
2+ years of experience in project managing data-centric projects
2+ years experience supporting fast-paced company growth through Data
Strong communication skills with experience explaining technical concepts to technical and business partners
Nice to Have's
Hands on experience building Interactive Visualizations such as Tableau, Mode, Google BQ.
Hands on experience in Programming Languages such as Python, R or any other programming languages
Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ
Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing)
Ability to make impactful presentations
Demonstrated experience collaborating with multiple stakeholders across functions and time zones
Working experience within operational ecosystems
Position can be located in any geography in the US or Canada.
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Senior Data Scientist | Shift |
About Shift:
We believe car buying should be fun, fair, and accessible to everyone. We’ve set out to transform an industry, using technology to bring transparency and convenience to the car buying process.
And we aren’t stopping there. We seek to bring that same openness and simplicity to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
About the role:
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy, you will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning. You lead by example and foster a culture of technical excellence, humility and lifelong learning.
This is an opportunity to join a fantastic team at a hi-tech fast-paced Silicon Valley company which is transforming an entire industry. You will report to the Director of Data Science. We’d love to talk to you about what great things you’ll do here.
What you'll do:
Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.
What we ask for:
Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis
Expert in Statistical Studies
Nice to have:
Databrick experience
Redshift experience
Experience with monitoring and instrumentation tech and vendors such as Segment, New Relic, Datadog, Pingdom and PagerDuty.
Who We Are
At Shift, we’re all about growth - which means people who are eager to grow, who are ready to roll up their sleeves and learn new things. We were founded by a scrappy group of visionaries who were by no means “car experts” - so we don’t expect you to be one, either!
We’ll take the open-minded go-getter over the pure subject matter expert any day. In that spirit, we also care about building a diverse and inclusive workplace and company. To put it simply, cars are meant for everyone, so we believe our company should be, too. We never discriminate against any candidate on the basis of gender, sexual orientation, gender identity, age, race, ethnicity, religion, color, national origin, marital status, veteran status or disability status. We welcome and encourage people of all backgrounds and walks of life to apply, even if you’re unsure if you meet all the requirements. (Even if this particular role isn’t the right fit, chances are we will have the right one soon!)
Why Join Now?
Having gone public in October 2020, we are at the beginning of our journey and hope you join us for the ride! Shift is a leading end-to-end auto e-commerce platform transforming the used car industry with a technology-driven, hassle-free customer experience. Shift’s mission is to make buying or selling a used car fun, fair, and accessible to everyone. We provide comprehensive, digital solutions throughout the car ownership lifecycle: finding the right car, having a test drive brought to you before buying the car, a seamless digitally-driven purchase transaction including financing and vehicle protection products, an efficient, digital trade-in/sale transaction, and a vision to provide high-value support services during car ownership.
Website | Facebook | Instagram | Twitter | LinkedIn | About Shift (Team)
Shift is an Equal Employment Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
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Head Of Ecosystem Data Science | Coinbase |
Coinbase has built the world's leading compliant cryptocurrency platform serving over 73 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
You will partner directly with ecosystem product leadership to define and execute data roadmaps, and build systems of intelligence empowering the team while bringing forward actionable and inspiring insights to spearhead critical operational and strategic decisions across all aspects of ecosystem at coinbase
We expect you to have a deep understanding of crypto domains and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Lead, mentor and grow a team of data scientists, data science managers and build strong partnerships with ecosystem product teams
Act as a strategic thought partner to product leadership and Coinbase executives; lead the team to execute on campaign measurements, brand awareness and other top product priorities
Partner closely with data and organization leadership to meet analytics needs and continuously improve our insight-creation capabilities, as a trusted and influential evangelist for data-guided decision making, while cultivating a culture of data at coinbase.
Drive long term product data strategies and planning
Leverage advanced analytics toolset to find opportunities, unpack drivers and develop hypotheses to inform action planning with partners
Act as the DRI for key ecosystem metrics and insights at Coinbase
Advocate for data guided decision and frameworks via empowerment of data usage across the product and data organization
Recruit and grow a premier data science and analytics team
Drive data team and organizational level initiatives to scale our insights through better systems and automation
Design communication structure and cadence with team members; Synthesize data takeaways (success or failures) into compelling narratives and communicate them throughout Coinbase
What we look for in you (ie. job requirements):
BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Masters or PhD is preferred
Passion for crypto and blockchain domains. Prior experience in crypto data is preferred
Strategic product orientation - product driven data leader who proactively understands user journey and insights in the ecosystem product domain at Coinbase, and consistently looking for HOW and WHY.
Deep knowledge of product analytics and data domains with proven track record of running a successful data science and analytics function
7+ years of experience as a hands-on leader of a data science/analytics team.
Experience in both internal and external storytelling and executive presentations.
Expertise with analytics tools, data visualization, sql, r, or python as applied to data science and analytics.
10+ years of experience providing business insights support for the executive team.
Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.
Proven track record of strong leadership. Experience in leading large teams with 10+ team members
#LI-Remote
(P29078)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.
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Senior Data Scientist Finance Data | Coinbase |
Coinbase has built the world's leading compliant cryptocurrency platform serving over 73 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money.
We expect you to have a deep understanding of audit & compliance processes in finance data, and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Collect data from various systems and convert it into the source of truth for Financial and Compliance domains
Dig into complex data sets and make sense out of them
Translate functional and technical requirements into architecture and design
Participate in code and design reviews to maintain our high development standards
Measure business performance, develop core metrics and create dashboards to track and understand them
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions
Work across multiple subject matter specialists to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team
Lead analytics projects to completion
Work with the broader Data team to find ways to scale our insights through better systems and automation
What we look for in you (ie. job requirements):
Proficiency with databases and SQL expertise
Experience with large-scale data warehousing architecture and data modeling
Expertise with data processing (ETL) technologies is required
Experience in one programming language such as Java, Scala, or Python
Strong analytical skills
Aptitude to independently learn new technologies
If need be, act as a Leader to drive big efforts with other data scientists
Nice to haves:
Knowledge of Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig
Experience building high-quality end-to-end data solutions in an agile environment from requirements to production
Be able to proactively handle prioritization of work and deliver work with great quality and influence the broader team in creating leverage
Experience in mentoring junior team members technically
Previous experience working with financial services data is a plus
Knowledge of Finance Business processes and concepts
Experience with Looker, Tableau or other business intelligence platforms
(P29076)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.
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Lead Data Science Consultant | Mashey |
Be the pioneer in establishing data science programs and best practices for companies all over North America.
Description
The Lead Data Science Consultant is responsible for being an advisor, practitioner and mentor for enterprise data science initiatives. Reporting to the Director of Analytics, the Lead Data Science Consultant will design and deploy data science capabilities to equip our clients with timely insights that fuel an exceptional client experience and ignites an innovative workplace. This senior role requires a blend of business acumen and technical skills to build ML models that inform strategic business decisions, product development and client experience innovations that lead to the improved operational and financial performance of our clients. The ideal candidate is client-focused and has a collaborative working style that fosters innovation within the organization, including strong analytical and storytelling skills, and technical aptitude. The individual will be required to think holistically as they work on complex problems with multiple groups and be able to provide actionable insights and informed decisions to our clients' executives.Responsibilities:Prepare data, use statistics and machine learning to investigate problems with the goal of supporting the questions representing our greatest business needs;Develop and implement heuristics and statistical models to improve our business outcomes;Steer research activities that fuel innovation and continuous exploration using qualitative and quantitative analysis, leveraging operational data to define objectives, and testing hypotheses that influence product development;Use and promote data-exploration techniques to discover new or previously unasked questions;Manipulate and analyze complex, high dimensional data from a variety of sources using a multiple tools and data analysis techniques;Use data engineering skills and knowledge in various analytical programming languages and frameworks: Databricks, Spark, Python;Support our client's Chief Operating Office, Head of Enterprise Data & Analytics and Agile Portfolio Architects in effort to define, roadmap, and evangelize their data science practice;Work with Data Governance to design data-driven solutions based on data principles and policies.
Requirements
• Masters in Decision Science, Business Analytics, Statistics, Applied Math, Computer Science, or related field
• 10+ years of applied experience in data science, analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
• 7+ years of experience building, deploying, and maintaining supervised machine learning models in production systems
• Expert in cloud services offerings preferably with Azure Cognitive Services and Azure ML Studio and in supporting frameworks such as Python SDK
• Expert in machine learning technologies such as Scipy (Numpy, Pandas, Matplotlib), Scikit-learn, Seaborn
• Expert in deep learning technologies such as Tensorflow, Keras, NLTK (NLP), CPython
• Expert in data science and visualization tools such as Tableau, PowerBI, Looker, or ThoughtSpot
• Expert in using algorithms and libraries for data science
• Expert in SQL
• Expert in conceptual and logical data design
• Applied experience designing and executing a data science roadmap
• Applied experience in analyzing unstructured data sets such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
• Excellent written communication, presentation skills, and data story telling
• Proactive in identifying use cases based on business needs and forming hypotheses
• Ability to quickly adapt to changing priorities and generating innovative solutions
• Financial services industry experience or other highly regulated industry experience is a plus
• Certifications related to Data Analytics or Data Science is a plus
• Applied experience with Salesforce Einstein Analytics is a plus
• Applied experience in Agile, SAFe, Scrum or Lean Six Sigma is a plus
• Applied experience with data management practices, data governance and data lineage processes is a plus
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Senior Data Scientist | Legion |
Legion Technologies is looking for a Data Scientist who will join our data science team. The ideal candidate has built time series forecasting models in the past. S/he must have strong experience using a variety of data mining, data analysis and machine learning methods, using a variety of data tools, building, implementing and evaluating models, using and creating algorithms and building forecasting and predictive models.
Responsibilities:
Work with the leadership on current solutions and initiate new approaches.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Building competitive predictive models.
Develop processes and tools to monitor and analyze model performance and accuracy.
Qualifications:
Strong problem solving skills.
Experience using statistical computer languages (R, Python) and ability to build machine learning models in these languages.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages and drawbacks for different solutions.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 2-5 years of experience manipulating data sets and building statistical models, has a Master’s or PhD. in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Coding knowledge and experience with python.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees.
Experience querying databases and using statistical computer languages: R, Python, SLQ.
Familiar with: Redshift, S3, Spark.
Familiar with deep learning techniques such as RNN, LSTM, GRU.
Familiar with Map/Reduce, Hadoop, Hive, Spark, MySQL.
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Senior Data Scientist | Paceline |
What You’ll Do:
Engage with Product Managers and key stakeholders across different departments to identify, measure and track KPIs
Identify, define and translate business requirements into analytical questions; present results and recommendations effectively
Design and execute experiments to enable data-driven decisions on product development, marketing and partnership initiatives
Collaborate with business stakeholders on designing and analyzing user surveys to inform product roadmap
What You’ll Bring:
3-5 years’ experience ideally in a fast-paced startup environment
Very comfortable with data analytics, SQL and data visualization
Experience designing experiments and conducting statistical analysis
Excited to collaborate cross-functionally
Is comfortable working remotely
Enjoys working in a highly-collaborative and supportive team
Passionate about health and wellness!
Authorized to work in the U.S.
Bonus: Background in Behavioral Sciences
Our Interview Process:
Our goal is to provide you with an exceptional candidate experience that is engaging and informative. We are transparent about our interview process for your consideration. We look forward to meeting you!
Initial Video Call
Hiring Manager Interview
Take Home Exercise
Panel Interview
Final Interview with CEO
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Data Scientist | Wurl |
About Wurl, Inc.
Wurl, the world leader in powering streaming TV, interconnects over 1200 streaming channels from the world’s top content companies with the leading streaming distribution services in over 50 countries. The Wurl Network platform helps leading studios such as A+E Networks, AMC Networks, BBC Studios, Bloomberg, CNN, Reuters and Sony, deliver programming to the biggest streaming platforms, including Amazon IMDb TV, LG, Roku, Samsung TV Plus, Rakuten, Twitch, and VIZIO, while maximizing monetization. Reaching over 300 million connected TVs around the globe, Wurl makes it effortless for content companies to build and track global distribution for branded linear channels, live events, and on-demand programming to manage and monetize their ad inventory.
We're an entertainment tech startup with 160+ team members across the world. We've been recognized as a “Great Place to Work" after the first two years by fostering an inclusive and mission-driven culture. In addition to stock options and great benefits, our people work remotely.
Data Scientist (Remote):
Wurl is seeking a Sr. Data Scientist to join our newly created Data Science team. The team solves problems related to our business and creates opportunities for new products and better products. The team creates models using vast amounts of data that creates visibility into the company’s understanding of its own potential solutions. The Data Science team has a huge impact on the company's growth and business.
The ideal candidate is experienced with Big Data, ML processes, SQL, Python, and is most importantly an outstanding problem-solver, has extensive experience developing machine learning models and performing advanced analytics, and has a strong background in mathematics and statistics.
Responsibilities:
Contributing to Wurl’s understanding of our data set
Contributing to data processing and machine learning initiatives
Identifying quality metrics and data features
Building data models and prediction models
Contributing to Wurl’s ML frameworks: research models
Participating in the evolution of Wurl’s data management and analysis framework
Creating solutions that are practical and can be applied to business applications
Qualifications:
PhD in Computer Science, Mathematics, Physics or relative field plus 2 years of relevant experience OR Master’s degree in Computer Science, Mathematics, Physics or relative field plus 4 years of relevant experience
Expert programming skills with Python and SQL
Knowledge of Spark/PySpark
Strong mathematical background and knowledge including but not limited to statistics, predictive modeling, linear algebra, machine learning
Experience with AI, including building ML models using frameworks such as TensorFlow, PyTorch, SparkML, scikit-learn.
Data pre-processing, visualization and data cleansing experience
Experience dealing with big datasets and databases
Effective communication skills
Works well in a team and independently
Soft skills: creative, innovative, open to receiving and giving constructive criticism, open to discussions, trustworthy and reliable
Proven record of being an outstanding problem-solver
Location: US remote.
Pluses:
Advanced proficiency with data visualization tools (such as Tableau, Power BI, Domo)
Knowledge of fundamental NLP concepts and updated with the state-of-the-art NLP models
Knowledge of AWS, Snowflake, Databricks and Git
Publications in a peer reviewed journals
Physical Requirements:
Prolonged periods of sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.
What We Offer
Wurl provides a competitive compensation and excellent benefits package including medical, dental, vision, life/disability insurance, 4 weeks of paid time off, 10 paid holidays, 401(k), flexible schedules and HSA. We are a fun, creative and collaborative remote work environment, headquartered in Palo Alto, CA. We live our values everyday in how we work with one another and support our clients. Wurl is truly a unique place to learn, create and have a daily impact on millions of people every day.
Our promise to you
Few companies will allow you to thrive like you will at Wurl. You will have the opportunity to collaborate with the industry’s brightest minds and most innovative thinkers. You will enjoy ongoing mentorship, and you will understand what we mean by “human connection.” You will be proud to say you’re a part of the company revolutionizing TV.
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Principal Modeler Principal Data Scientist Cyber Risk Supply Chain Can Remote Option | Guidewire |
Guidewire is searching for a catastrophe modeler to join us on our mission to transform cyber-insurance with the industry's leading cyber risk platform. Cyber is the #1 threat to US national security, above nuclear weapons, and our work here makes a meaningful impact in this space! You will report to the Director of Risk Modeling.
Who We Are, What We Believe, & What We Build
Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance.
Who You Are
You are a passionate and creative problem solver, excited by the prospect of pursuing hard problems and exploring the unknown. You enjoy applying quantitative methods.
Responsibilities
Developing and implementing methodologies to quantify the impact of cyber security risk, with a specific focus on supply chain-related events
Developing and implementing tools to effectively visualize the potential impact of potential cyber events
Exploring different data sources to come up with features and assumptions to enhance our set of risk models
Calibrating, testing and validating different types of models in the insurance space
Integrating/automating modeling processes in our production pipeline to feed our platform
Communicating technical details related to the models and their outputs to a variety of audiences
Collaborating with cyber analysts, data engineers, risk modelers, and product managers
Qualifications
PhD or MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines
Solid statistics and predictive modeling foundations
5+ years of experience in data analysis, feature engineering, data visualization and hypotheses testing
Nice to have
Experience with network analysis/modeling, supply chain analysis/modeling OR graph analysis/modeling
#LI-remote
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.
Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.
Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Sr Data Scientist Analytics Forecasting | Quizlet |
About Quizlet:
Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.
Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.
Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.
To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.
With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.
About the Team:
The Data Science & Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. We leverage product data, external education trends, and statistical models to inform the company strategy. The team is supported by Machine Learning and Data Engineering teams that partners with us to make sure we are building a data-driven culture.
About the Role:
As the Forecasting & Research Data Scientist, you will partner with a cross functional team of Data Scientists, Engineers, and FP&A Analysts to build the models underpinning our user growth model. You will focus on improving our short term and long term user growth and engagement forecasting model. We are open to the role being fully remote or located near one of our US offices.
In this role, you will:
Own our user growth and engagement forecast model from start to finish
Partner with FP&A and Data Scientists to recommend how the business should be modeled
Communicate performance metrics, explaining the business reasons for variance from the forecast to our executive team and senior leaders across the company
Drive a deeper understanding of our business through leading deep dives across a variety of business topics
Conduct external research on education trends around the globe and how they could be affecting our business
Manage a variety of stakeholders that provide inputs and consume outputs of the user forecast
Mentor junior team members
What you bring to the table:
5+ years of industry experience in data science, analytics, economic consulting, or finance (quant)
Advanced SQL skills, window functions, sub-queries, etc
Proficient Python skills
Strong foundational understanding of statistics and work experience in owning models
Proficient knowledge in financial modeling in excel
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Bonus points if you have:
Experience with forecasting using Facebook’s Prophet library
Degree in Math, Physics, Statistics, Economics, or other quantitative fields
Compensation, Benefits & Perks:
Colorado candidates: Base pay for this role starts at $114,000. The actual pay may be higher depending on your skills, qualifications, and experience
Employees are eligible to participate in the Quizlet stock option program
Collaborate with your manager and team to create a schedule that ensures a high level of productivity (creating that ideal work/life balance)
We offer 20 days of paid vacation (and we expect you to take them!)
Comprehensive health coverage (Anthem, Kaiser), HSA, FSA, dental and vision (Guardian), competitive salary, 401(k), and equity
Other perks include: Wellness stipend, pet insurance offerings, annual learning and development stipend, commuter subsidy, and 40 hours of annual paid time off to participate in volunteer programs of choice
In addition, we offer access to mental health resources, fertility education, fertility preservation, IVF, genetic testing, surrogacy, adoption, and more
We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives a comprehensive view of who we are!
In Closing:
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.
We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.
We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.
Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
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Data Scientist | Hangar |
Who We Are:
At Hangar, our focus is innovation in the service of humanity. We fund and build companies that have the potential for public impact at scale. As a team, we work with both our investors and portfolio companies to help them achieve their technology-driven goals. The services we provide span from ideation to strategy to product incubation. You can review our portfolio companies here. If you are a savvy, mission-driven operator or technologist looking to build the world’s next radical change, this is the place for you.
Position Description:
Hangar is seeking candidates for Data Scientist to be located in New York, NY (or remotely within the United States). At Hangar, we work as a team of product managers, designers, engineers and data scientists to support our portfolio companies get off the ground from seed stage, providing tactical support for product development. The companies span healthcare, natural disaster response, and location intelligence for infrastructure utilization. Each one of these presents interesting and complex data science challenges. Hangar is looking for candidates that can work closely with portfolio companies to help them develop their data science strategy and solutions. The ideal candidate is a strong data scientist, a critical thinker and a good communicator who is passionate about mission-driven work for public good. Get in on the ground floor of our expanding team!
Us:
-We move quickly and deliver amazing tools and products with our portfolio companies.
-We work closely across our organization and portfolio companies to frame and tackle goals, both mathematically and within the business context.
-We determine and gather the right data to generate meaningful analyses and mathematically sound predictive models.
-We partner with product and engineering to deliver platforms for our analytics and data science solutions.
-We design and run statistically sound experiments to uncover predictors of performance.
-We collaborate and communicate with stakeholders to share rationale and findings from models and analyses.
You:
-M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field. (Ph.D. preferred)
-2+ years of industry experience delivering successful and innovative machine learning products both in scope and on time.
-Strong skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).
-Demonstrated ability to collaborate with both technical and non-technical stakeholders, collecting requirements and interfacing with other teams.
-Experience in production-level coding, especially in cloud environments is a plus.
-Excited to work across startups, wearing multiple hats while staying focused on the most important deliverables
-With the above said, we always encourage people of all backgrounds and experiences to apply. We understand that job listings don't always allow your unique work history to shine so we invite you to show us what you know!
Seniority Level: Mid-level
Hangar is an Equal Opportunity Employer
Hangar Alpha LLC does not discriminate on the basis of race, color, religion, religious affiliation, national origin, alienage or citizenship status, age, sex, sexual and other reproductive health decisions, creed, disability, sexual orientation, gender or gender identity or expression, marital or partnership status, pregnancy, arrest or conviction record, caregiver status, military or veteran status, actual or perceived status as a victim of domestic violence, sexual violence or stalking, unemployment status, credit history or any other basis prohibited by applicable law.
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Cornea Lead Data Scientist | Hangar |
Who We Are:
Our mission at Cornea is to be a public good corporation that brings modern data and machine learning techniques to wildland fire management and disaster response. Every year, the intensity and scope of wildland fires increases with climate change -- average acres burned per year nationally has increased from 2.1M in the 80s to 7.8M now. And yet, firefighters have very few tools to leverage technology, historical fire data, and the massive amount of data available about weather, ground conditions, and terrain. At Cornea, we are building a machine learning enabled suite of tools to inform critical decision-making for both emergency operations and planned events to increase safety and effectiveness in combating wildland fires.
Cornea is a seed stage company in incubation at Hangar, a firm that funds and builds technology companies tackling public sector market challenges. With US annual spend at $5B for wildland fire suppression and a quickly increasing need for collaborative and predictive tools, we see a huge opportunity in this space and are excited to be a part of tackling this important challenge.
Position Description:
Cornea is seeking candidates for Lead/Principal Data Scientist to be located in New York, NY (or remotely within the United States). With fire and fire spread prediction sitting at the crux of Cornea’s mission, you will be leading the effort for our key core offering -- this role has the potential for huge impact on our trajectory, with expanded team management opportunities as we grow. The data science work will be focused on improving fire prediction algorithms with specific focus on high quality evaluation methodology. You will also work closely with the product and engineering teams to improve data accessibility and efficiency of algorithm iteration. Additionally, you will be responsible for interfacing with the research and academic community in this space and will lead the effort to publish our findings in academic research journals. The ideal candidate is a strong data scientist, a critical thinker and a good communicator who can define and lead important initiatives. Get in on the ground floor of our expanding team!
Us:
-We move quickly and deliver amazing tools and products for disaster response collaboration and fire analysis.
-We leverage existing research and methodologies to analyze and build models for fire suppression and disaster planning. We build platforms and resources to connect and share our findings and the massive amount of data available about weather, ground conditions, and terrain.
-We design and run statistically sound experiments to further uncover predictors of performance.
-We work closely across our organization to frame and tackle goals, both mathematically and within the business context.
-We collaborate and communicate with the fire community to share rationale and findings from models and analyses and facilitate firefighting effectiveness.
You:
-M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field. (Ph.D. preferred)
-5+ years of industry experience delivering and scaling successful and innovative machine learning products both in scope and on time.
-Strong skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices.
-Comfortable in a startup, wearing multiple hats while staying focused on the most important deliverables.
-Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients.
-Experience working with the academic community and publishing papers in research journals is a plus.
-With the above said, we always encourage people of all backgrounds and experiences to apply. We understand that job listings don't always allow your unique work history to shine so we invite you to show us what you know!
Seniority Level: Senior level
Cornea Inc. is an Equal Opportunity Employer
Cornea Inc. does not discriminate on the basis of race, color, religion, religious affiliation, national origin, alienage or citizenship status, age, sex, sexual and other reproductive health decisions, creed, disability, sexual orientation, gender or gender identity or expression, marital or partnership status, pregnancy, arrest or conviction record, caregiver status, military or veteran status, actual or perceived status as a victim of domestic violence, sexual violence or stalking, unemployment status, credit history or any other basis prohibited by applicable law.
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Senior Data Science Manager Operate | Shopify |
About the role
Data Science & Engineering is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful. From delivering merchandising insights to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to the platform via an array of open source tools.
We are looking for a Senior Data Science Manager to lead the team that partners with our Operate data team (part of Core). The Shopify Core is what’s “in the box” when merchants sign up for Shopify: the world’s best Online Store, Checkout, and the Admin to set up and run their business. The Operate’s Mission is to help merchants start and run their business on Shopify’s platform by building the most powerful Admin. Operate Data Science and Engineering team contributes to this mission by building best-in-class insights and data products to enable every merchant’s success.
What your role will look like:
Working closely with an interdisciplinary team, you and your team will be responsible for the evolution of all admin tools (such as admin home, navigation, search, etc.) across mobile and web and tackle the evolution of how our most sophisticated merchants are utilizing our platform (large organizations with multiple businesses and staff). Your team will focus on developing strong data foundations, data-informed products, and reporting and experimentation frameworks to empower the Operate organization to make great decisions quickly.
Qualifications
You will need to have:
Team development: You’ll need a demonstrated track record of attracting top data/analytics talent, developing those people (both ICs and managers) to make them even better, and managing the growth of teams. You have several years of experience managing and scaling multiple teams.
Data Experience at scale: You’ve been a leader in multiple companies where analytics on top of massive data sets drives product/business decisions and results in powerful data products. You have extensive experience with technologies like SQL, Spark, and Python.
Analytics expertise: You’ll need to be amazing at coming up with new, meaningful metrics to measure the success of our products; you'll be equally strong at making sure the data needed to support those metrics are available. You have multiple years of experience managing decisions at scale, including causal inference and experimentation.
Well-balanced skills: People have trouble pinning you down. Business, product, and technical teams claim you as their own. You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
Passionate about business strategy: You’ve experienced and thrived in similar channel-related environments and have a knack for working with business users that are responsible for top-line growth.
Key technology stack and tools we work with:
Python
SQL
Spark
Google Cloud Platform
Mode/Tableau
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Senior Data Science Manager Commercial | Shopify |
About the role
Data Science & Engineering is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful. From delivering merchandising insights, to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to platform via an array of open source tools.
We are looking for a Senior Data Science Manager to lead the team that partners with our Commercial Data Science team. The Commercial team is a rapidly growing area within Shopify that plays a vital role in delivering on this vision by reaching entrepreneurs around the world and helping them succeed on Shopify. The Commercial team’s mission is to empower the most entrepreneurs to succeed. Commercial Data Science and Engineering builds data-informed growth strategies and data products that enable merchants to come, stay and grow on Shopify.
What your role will look like:
Working closely with an interdisciplinary team, you and your team will tackle challenging marketing, commercial and growth-related problems. We build strong data foundations, anomaly detection tools, and reporting frameworks to empower the growth organization to make great decisions quickly.
Some of the Data Science & Engineering team members you’ll work with:
Ella Hilal, Director of Data Science, Growth and Revenue
Kiran Jain, Director of Data Science, Growth
Shopify team members you’ll work closely with:
Morgan Brown, VP Growth
Qualifications
You will need to have:
Data Experience at scale: You’ve been a leader in multiple tech companies where analytics on top of massive data sets drives product/business decisions and results in powerful data products. You have a strong background in machine learning including experience implementing models and productionizing innovative end-to-end machine learning systems.
Analytics expertise: You’ll need to be amazing at coming up with new, meaningful metrics to measure success of our products; you'll be equally strong at making sure the data needed to support those metrics are available.
Well-balanced skills: People have trouble pinning you down. Business, product and technical teams claim you as their own. You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
Passionate about business strategy: You’ve experienced and thrived in similar channel-related environments and have a knack for working with business users that are responsible for top-line growth.
Team development: You’ll need a demonstrated track record of attracting top data/analytics talent, developing those people (both ICs and managers) to make them even better, and managing the growth of teams.
Key technology stack and tools we work with:
Python
SQL
Spark
Google Cloud Platform
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Data Science Manager | Shopify |
About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Lead Data Scientist Machine Learning | Shopify |
About the role
About the roleData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.We are currently looking for Staff Data Scientists to be part of our new visual attribute extraction technology called Deep Tagging.
Deep tagging is transforming the online shopping experience by enabling image and text-based product understanding, leveraging Computer Vision, Natural Language Processing and deep learning technologies that mimic the way customers think about products.As Staff Data Scientists on this team, you will get the opportunity to push products and business forward, focus on solving important problems and get to experience an opportunity to become an AI expert in the ML Computer Vision and the Deep Learning space.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
2+ years of experience in one or more of the following areas - CV, NLP, deep learning or artificial intelligence
You have a well-built technical experience that inspires individual contributors’ creativity and innovation.
You feel comfortable designing and training Deep Learning models for object detection in images/ image classification/ text classification
You have experience with product leadership and technical decision-making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level but are also able to contribute to long-term initiatives by mentoring your team
Multiple work streams excite you, you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals
Great if you have:
Previous experience using Spark
Previous experience working with MLFlow
Previous experience using Ray
Experience with statistical methods like regression, GLMs or experiment design and analysis.
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
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Senior Director Measurement Data Science Consultant | Grail |
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com.
This role is part of a larger Bioinformatics & Data Science team at GRAIL whose work is at the heart of the company’s products: from diagnostic classifier algorithms for cancer screening to scientific software pipelines for rapid model development. Within this team, you will lead the data science function focused on all aspects of measurement data: design-of-experiments, measurement systems analysis, statistical process control, non-clinical assay bioinformatics, scientific data management, and study design. You will work with diverse teams including biostatistics, software, clinical, regulatory, operations, research, product development, and external collaborators. Your work will result in exciting discoveries in cancer biology, impactful publications, and potential future products.
Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time.
In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings.
GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL.
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Lead Data Scientist | Chief |
About us:
Chief is changing the face of leadership. Our mission: build the most powerful network focused on connecting and supporting women leaders. Our members are VP and C-level executives across every industry who are leading their companies today and building a more equitable tomorrow. Chief was recently recognized as one of Fast Company's Most Innovative Companies of 2021, and you can read more about us in Forbes or watch us on the Today Show.
Launched in early 2019, Chief is a Series B stage start-up backed by General Catalyst, Inspired Capital, Primary Ventures, CapitalG, and other top-tier investors. The Chief network includes 12,000+ members from across the United States and United Kingdom. We are headquartered in New York City with additional Flagship spaces in Los Angeles, Chicago, San Francisco, and London.
We are tech-powered. Our members make meaningful connections, engage in compelling discussions, and view our unique content through our digital platform. Our Product and Technology teams are building the future of that platform, with data and insights at its heart.
About the Role:
Chief is seeking an experienced Data Scientist focussing on personalization to join our small but growing fully remote Data team. The mission of this role is to build recommender systems that maximize the value our members derive from our professional network. You will build discovery tools to connect members 1:1 and in groups, help them discover relevant content, meetups and events, optimize their user journey based on their interests, and much more.
We solve problems with approaches that span from scrappy heuristics to algorithms you can only find in obscure academic literature. You will work autonomously from ideation to deployment in production (full disclosure: we’re still building the deployment pipeline) and collaborate with business stakeholders, product managers, data engineers and data scientists across the organization. The tech stack you’re going to work on lives in AWS and includes dbt, Redshift, and Posit Workbench and you will have a big role in evolving that stack over time. Personalization is a key contributor to our retention strategy, and your role will be critical to the success of Chief.
What you’ll do:
[20%] Ideation, development of ideas, ROI calculations to determine where personalization strategies provide the most value for our members, collaborate with business stakeholders to understand the nuances of our business
[40%] Build data workflows, feature engineering, algorithms and recommender systems
[20%] Work with tech, product and data engineering teams to deploy your models to production
[20%] Help evolve our tooling and tech stack
What you’ve done and enjoy doing:
Strong skills in statistics and machine learning
Fluency in python
Prior experience building recommender systems, especially in a subscription context
Experience with relational databases / SQL
Passion for working with stakeholders and curiosity about our business model
Scrappiness and the ability to thrive on autonomy
Great communication skills
You Get Bonus Points For:
Experience with Redshift and the broader AWS stack
Experience deploying machine learning algorithms in production and writing production quality code
Why You'll Want to Work Here:
Competitive salary and equity
Flexible vacation policy and 4.5 day work weeks
20 weeks of paid gender neutral parental leave
Full medical, dental, and vision packages, 401(k)
Opportunity to work for a startup focused on driving real change for women in business
Opportunity to create and attend inspiring experiences and events with leaders of the industry
Access to our ongoing virtual Chief member exclusive content, including workshops, thought leadership, and iconic speakers
Wellness, Work from home and Learning Stipends available
While we’re committed to remaining compliant and adhering to mandates, for us, pay transparency is more than a consideration of what’s lawful and unlawful but rather, an opportunity to disclose what’s required, and what we think is a fair and equitable compensation framework.
At Chief, we want to hire, develop, and retain the best talent, making Chief a top destination to accelerate your career. Our compensation framework is a key part of our vision, and we continually revisit and invest in our philosophy and framework to ensure we remain competitive and relevant, on a quest to achieve our vision.
The pay transparency mandates, as well as our own policies and practices, are a means of narrowing the gender pay gap and fostering an engaged and positive working environment that builds trust, on our mission to change the face of leadership.
The base salary for this role is: $190,000.00
#LI-Remote
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Senior Data Scientist Product Pricing | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Department Summary
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.
Job Summary:
As a Lead Data Scientist in the Pricing Sophistication Team, you’ll play a hybrid role, leading and coaching a small team of Data Scientists and performing hands-on work, building innovative pricing and underwriting models to support transformation in Allstate’s Business Insurance (ABI) products. You can look forward to an excellent partnership with the stakeholders you’ll be supporting; several models have been successfully adapted and have been major drivers in advancing ABI’s competitive position. Signal intelligence will continue to advance pricing sophistication and you’ll be a pivotal part of driving this forward and allowing ABI to reimagine commercial underwriting.
If you possess Insurance Pricing or modeling experience and you’d enjoy having broad influence on peers and the business area you’re supporting, we’d love to review your credentials.
Key Responsibilities:
Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work
Collaborates with the team and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
Identifies languages and tools that can bring efficiencies or needed techniques to the team. With coaching can identify new areas of data, research and models that can solve business problems.
Utilizes effective project planning techniques to break down moderately complex and occasionally complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
Mentors and develops others
Education and Experience:
Master’s or PhD
3 or more years of related experience
Insurance pricing and/or modeling experience is a big plus
Functional Skills:
Experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Functional pricing, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings preferred
Demonstrated Analytic Agility and ability to quickly learn and switch topics
Ability to use and learn a wide variety of tools and languages to achieve results
Ability to code and develop prototypes in various languages
Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience with advanced system programing
Experience working with Agile team
Knowledge of advanced machine learning techniques and libraries
Knowledge of full stack development
Compensation offered for this role is $108,000 – $150,000 and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Biostatistician | Evolutioniq |
About EIQ
Our mission is to build the world's first AI-powered claims guidance platform to transform the lives of injured or disabled workers. Our AI models understand injuries and medical treatments like a medical expert to solve the insurance industry’s big data problem.
You: A data expert who thrives in dealing with ambiguous decision-making problems, both for clients and internal stakeholders. You’ll explore and analyze new datasets as we enter new markets – helping to define our Product and Machine Learning strategy based on your data insights. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. Ambiguity isn’t a challenge but a chance for you to define and narrow a problem space independently. You’re supercharged by having interesting, unsolved problems continually present themselves.
The Opportunity: You'll be actively impacting people's lives dramatically through AI interventions in concert with our top AI team. Your direct colleagues will be the founding team who built this platform from the first line of code, including Georg (Google AI), Karan (Bloomberg), Tom (Google AI), Arun (Facebook), and an array of other industry veterans who left top tech leaders for the greenfield opportunity at EvolutionIQ. In this technical leadership role, you’ll harness vast amounts of complex, highly proprietary data that EvolutionIQ already has access to but that no one else has worked with before.
In this Role, You Will:
Support the decision-making of EvolutionIQ’s leadership team in high stake situations using all internal and external data sources
Uncover new product research directions (hypothesis generation)
Create data insights to win clients by helping define and build the sales & marketing narrative
Present results to internal and external stakeholders
Generate meta-analysis across clients to drive product & sales strategies
Build, own, and standardize client-facing analysis and reporting on mature products
Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients.
Write efficient and reliable relational database queries, write design documents, write clean & maintainable code for reproducible analytics, perform code reviews, and maintain state-of-the-art engineering practices.
Continue to grow and learn in the data & ML space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.
Your Impact: You will work closely with the ML team and Product Managers to improve our team and clients' understanding of claims data. The ideal candidate will ensure EIQ tells excellent stories through data that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas and validate hypotheses in data leading to increase the speed of new product development significantly.
Topline Rewards: You'll be in a fast-growing position with rapid performance and promotion cycles, competitive salary, company equity, and a chance to be in early enough to make your distinct mark on our platform but late enough where you’ll be doing it for live commercial applications — not spec projects or demos. The perks are many: remote work options, company-paid professional development stipends, opportunities for cross-functional moves, and more. But just as important, we prioritize an ownership mindset — you’re the CEO of your projects, and you’ll think like a CEO and have the freedom and autonomy to make your own decisions.
Requirements:
5+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments
Sophisticated knowledge of statistics, linear & non-parametric models, and advanced SQL engineering experience
Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., data studio), and familiarity with standard statistical packages and visualization tools
Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations
Excellent communication, storytelling, and presentation skills
Proven understanding of Product and Business analytics, fundamentals, and processes
Proven ability to synthesize data insights into actionable recommendations
Even Better if You Have:
Experience in Bayesian statistics and causal inference methods
Designed, implemented, and analyzed A/B or multi-arm experiments
Written production quality code for reproducible analytics pipelines
Creativity and resourcefulness with an appetite to solve previously unsolved problems
Us: We're the leading AI Guidance Platform company in the insurance industry today, working with some of the largest insurance companies in the US and expanding globally. We are growing rapidly, having started just three years ago, and have almost tripled our company size this year alone. We excel at converting pilots to production deployments, and we have a unicorn path ahead. Our technology has helped tens of thousands of people.
The Fit: We’re a team of architects and visionaries who thrive on being first. We’ve created a fun, passionate, humorous, friendly, and fiercely driven engineering culture that values delivery and personal impact above everything else. We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.
Benefits & Perks:
Compensation - The range is $180k-200k, depending on a candidate’s background and experience.
Work/Life Balance – Work from home/work from NYC (whether you’re local to NYC or visiting us on a company-paid trip); we offer generous PTO, sick leave, and weekly wellness time; and you can join us at off-site company trips (we have taken every one to Jackson Hole and Puerto Rico in past years)
Well-Being – Full medical, dental, vision, short- & long-term disability, 401k matching with 100% of the employee contribution up to 3% and 50% of the next 2%
Home & Family – Flexible 100% paid parental leave (4 months for primary caregivers and three months for secondary caregivers); for new parents returning to work, we offer a flexible schedule, and we also provide sleep training to help you and your family navigate life schedules with a newborn
Office Life – Catered lunches, happy hours, and pet-friendly office space; $500 for your in-home office setup and $200/ year for upgrades every year after your initial setup
Growth & Training –$1,000/year for each employee for professional development so you can have the ability to grow as we do.
Join Us if you want to win big, play hard, and be the engineer who makes a difference in the tech world, inside EvolutionIQ, for our clients, and in the lives of the sick and injured people, our software is helping every day.
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Data Scientist Marketing | Fourkites |
At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.
Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.
The Data Scientist, Marketing role is critical to FourKites’ overall Marketing strategy and growth of the business. The role, which combines data-driven storytelling and deep data science techniques to drive our marketing growth engine, will focus on two primary areas:
Analyzing data from the FourKites network to identify major trends impacting global supply chains and logistics. Stories featuring FourKites data have appeared in The Wall Street Journal, Forbes, NBC and many industry publications.
Analyzing marketing and business performance data to help drive business growth. As a hyper-growth company, FourKites executes a wide range of global marketing programs investing millions of dollars on digital advertising, content marketing, PR, social, events and much more. The Marketing Data Scientist will work directly across the marketing team and senior marketing management to drive the right programs, the right investments and ensure business growth.
The Data Scientist, Marketing will work closely with various members of the Marketing team, in addition to members of the Data Science, Engineering and Business Operations teams.
Responsibilities:
Leveraging FourKites platform data to uncover important trends in the logistics space, and be able to tell crisp, succinct data-driven stories through deep analysis and Tableau visualizations. Such analysis is integral to driving continued inbound media interest, and fuels ongoing Marketing campaigns
Conducting in-depth analysis of persona behavior on the FourKites website to determine the most impactful content opportunities to drive buyer behavior
Marketing Performance Analytics: Analyze channel interactions and other key indicators to determine the right mix of Marketing investments (e.g., campaign ROI analysis)
Plan and build reports to identify the buyer journey and lifecycle experience for our products, from discovery, purchase, onboarding and adoption
Automating reporting and Tableau dashboarding processes to improve productivity
Collaborating with Data Science and Biz Ops teams to build relevant data powered solutions for the Marketing department
Desirable Skills & Experience:
Experience telling stories with data, including clear data visualizations, and an ability to communicate clearly and cogently with data
Deep experience in B2B marketing channel, campaign and funnel performance tracking, analysis and reporting
Experience in analysis and reporting across advertising platforms, Google Analytics, Marketo, Salesforce, Demandbase (or similar ABM platforms)
Ability to work quickly and independently in a fast-paced environment
Advanced Excel skills
Querying and Dashboarding tools like SQL, Tableau, Sisense, Apache Superset, Postgre SQL and Google Data Studio
Experience with data visualization tools (Tableau, Sisense, Superset, Power BI, etc.)
Proven ability to investigate data (vetting, anomaly detection and resolution, etc.)
Knowledge of Python to manipulate data and perform advanced data handling tasks
We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!
About FourKites:
FourKites® is the #1 supply chain visibility platform in the world, extending visibility beyond transportation into yards, warehouses, stores and beyond. Tracking more than 2.5 million shipments daily across road, rail, ocean, air, parcel and courier, and reaching over 185 countries, FourKites combines real-time data and powerful machine learning to help companies digitize their end-to-end supply chains. More than 1,000 of the world’s most recognized brands — including 9 of the top-10 CPG and 18 of the top-20 food and beverage companies — trust FourKites to transform their business and create more agile, efficient and sustainable supply chains.
FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. And we're always listening for new ways to support everyone in and out of the office.
If you are a California resident, here is our California Applicant Privacy Notice.
Salary Range: $90,000 - $130,000
Medical, Dental & Vision benefits start on first day of employment
20 PTO days, 10 Sick days, 5 recharge days, 2 volunteer days
401k with company match
Annual Wellness Stipend
Ongoing learning & development opportunities
#LI-Remote
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Sr Data Scientist Pricing And Product Strategy | Dealer Tire |
Who We AreWe’re Dealer Tire, a family-owned, international distributor of tires and parts established in 1918 in Cleveland, OH. We’re laser focused on helping the world’s largest and most trusted auto manufacturers grow their tire business—in fact, we’ve sold more than 60 million tires to date. We’re a thriving company, and we’re looking for driven individuals to join our team. That’s where you come in!As a Senior Data Scientist, Pricing and Product Strategy, your essential job functions will include the following:Provide Thought Leadership & Drive Change
Drive business results by conceptualizing and overseeing the development of advanced algorithms and mathematic models that allow the organization to maximize revenue and profitability.
Collaborate with subject matter experts to understand nuances or anticipated events that may impact analysis outcomes and ensure efforts are in alignment with the goals of the organization.
Interact closely with the leadership team to solve issues using data to assist in end-result impacts.
Identify formal and informal leaders in other functional areas—build relationships that help drive progress.
Ensure business units can leverage insights by providing clear, actionable recommendations and analytics, and guidance around measurements.
Provide data-driven insight for leadership team—draw valid conclusions and make actionable recommendations.
Convert complex analysis into visual presentations and effectively communicate scenarios and expected results.
Effectively apply internal consulting cycle, especially independent research and solution development
Locate opportunities to package data into useful products by acting promptly to the environment.
Product and Project Management
Work directly with various business units to solve emerging business problems by contributing on multiple levels.
Foster collaboration and open dialogue with key stakeholders to ensure all parties perceive the need for improvement and have clear expectations for project outcomes.
Serve as lead developer for assigned projects and help coordinate activities of team.
Guide technical design and structuring of software tools that are complex and require a high level of integration with existing systems and reporting—Provide advanced-level development, testing, debugging and documentation skills.
Build scalable solutions and balance predictive power and interpretability for the ease of successful implementation.
Manage strategic projects.
Manage development of applications and tools that drive effectiveness and execution of the company.
Establish project plans, timeframes, and deliverables according to stakeholder and organization needs.
Ensure project sponsors are consistently kept up to date on project status.
Quantify impact of analyses and changes—ensure appropriate ROI for recommended initiatives.
Manage Large Datasets
Collect and curate data needed for research, especially data that is external to the organization.
Dive deep into data—utilize programming tools to cleanse large structured and unstructured data sets.
Apply transformation techniques to move data from its raw form to usable data tables.
Use SQL and data APIs to interact with data stored in various systems from relational databases to distributed file systems.
Manage data in manner that protects privacy and confidentiality and upholds contractual obligations.
Advanced Modeling and Analysis
Iteratively, efficiently, and effectively identify and execute projects with the greatest return.
Develop mathematic models that maximize Dealer Tire and dealership profitability and inventory while minimizing costs.
Apply statistical and algorithmic methods such as hypothesis testing, regression analysis, forecasting, natural language processing, clustering, classification, survival analysis, simulations and optimization.
Other Duties as AssignedPosition Requirements
Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field.
3-5 years of related work experience.
Effective project management experience with proven results required.
Strong ability to present complex technical material to executive audiences.
Pricing optimization system experience is a plus.
Advanced proficiency in programming languages for statistics and automation (90% Python, 10% Go and R)
Advanced proficiency in MS Office (Excel, Word, Power Point, VBA)
Proficient in data-access languages (SQL, PostgreSQL, T-SQL)
Proficient with version control approaches for product development (Unit testing, Git, documentation, logging, etc.)
Experience with statistical modeling, supervised and unsupervised machine-learning frameworks is a plus (SciPy, sklearn, etc.)
Familiarity with AWS Amazon Web Services is a plus (Codecommit, S3, Lambda, EventBridge, SystemsManager, etc.)
Familiarity with Alteryx for automated reporting is a plus.
Works with a sense of urgency and is able to work independently with minimal supervision.
Competencies Required
Results Orientation
Agility
Initiative
Influence
Customer Focus
Inspire Others
Empower Others
Provide Direction
Manage Resources
Formulate Vision
Physical Job Requirements
Continuous viewing from and inputting to a computer screen.
Sitting for long periods of time.
Travel as necessary, <10%.
Drug PolicyDealer Tire is a drug-free environment. All applicants being considered for employment must pass a pre-employment drug screening before beginning work.Why Dealer Tire: An amazing opportunity to join a growing organization, built on the efforts of hard working, innovative, and team-oriented people. We offer a competitive salary + bonus, and a comprehensive benefit package including: paid time off, medical, dental, vision, and 401k matching (50% on the dollar up to 7% of employee contribution). EOE Statement: Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act*), or any other legally protected status, with respect to employment opportunities. *ADA Disclosure: Any candidate who feels that they may need an accommodation to complete this application, or any portions of same, based on the impact of a disability should contact Dealer Tire’s Human Resources Department to discuss your specific needs. Please feel free to contact us at [email protected] or via phone at 833-483-8232.
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Data Scientist | Pricelabs |
About PriceLabs:
PriceLabs was founded in 2014 by IIT / Kellogg Alumni and has been growing rapidly over the past couple of years. We serve thousands of customers in 100+ countries and our team is distributed between 8 countries.
We are a market-leading revenue management tool for the vacation and short-term rental industry. We are an SMB/Mid-market focused product with mostly self-serve and some sales-assisted motion.Our customer base grew 10x since 2019 and in 2022:
Our team grew 3xWe raised $30 million in funding from Summit PartnersWe joined hands with Rental Scale-Up to deliver in-depth market insights and actionable news to hosts & property managersWe continue to grow exponentially backed by a strong team to take us to the next level.
Why join PriceLabs?
Work with an industry-leading product that has thousands of customers worldwide, and our customers love the product! (NPS in the 70s, Customer reviews here)Work with a global team (8 countries and counting) of passionate individuals that accepts open communication, empowerment, and a shared focus on customer success.We are a freemium product, so marketing leads the charge on customer acquisition.We are a remote-first organisation and accept work from home as the norm.Unlimited PTO | Free Insurance | Remote Work | WFH Setup Allowance | Flexible Working Hours | Annual Bonus Scheme | Org-wide Workation
About the Role:
Design, develop and enhance our pricing algorithms to enable new capabilities.Process, analyse, model, and visualise findings from our market-level supply and demand data.Build and enhance internal and customer-facing dashboards to better track metrics and trends that help customers use PriceLabs in a better way.Take ownership of product ideas and design discussions.Occasional travel to conferences to interact with prospective users and partners, and learn where the industry is headed.
About You:
Bachelors, Masters or Ph. D. in Operations Research, Industrial Engineering, Statistics, Computer Science or other quantitative/engineering fields.You have a minimum of two (2) years of relevant experience.Strong understanding of analysis of algorithms, data structures and statistics.Solid programming experience. Including being able to quickly prototype an idea and test it out.Strong communication skills, including the ability and willingness to explain complicated algorithms and concepts in simple terms.Experience with relational databases and strong knowledge of SQL.Experience building data-heavy analytical models in the travel industry.Experience in the vacation rental industry.Experience developing dynamic pricing models.Prior experience working in a fast-paced environment.Willingness to wear many hats.
PriceLabs is an equal opportunity employer. We are committed to providing equal opportunity in all aspects of employment. We do not discriminate on the basis of race, colour, religious creed, national origin, ancestry, sex, age, veteran status, marital status or physical challenges.
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Manager Product Analytics | Hims Hers |
Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care from wherever is most convenient for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers' mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol "HIMS". To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
As a Manager, Product Analytics you will help evolve our EMR Product to the next level. Your knowledge of experimentation, statistical analyses, and cross-functional efforts combined with your excellent communication skills will determine where and how to improve our provider experience. In this role you will be fully remote and report to the Senior Manager, Business Analytics.
You Will:
Own analytics for the EMR Product: conduct data analyses to support new product launches, drive improvements to existing products and inform product roadmap while operating cross-functionally across product, engineering, operations, and other stakeholders
Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business
Direct experimental design: identify parameters, determine success metrics, perform data validation and monitor progress
Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics
Interpret results, draw detailed, impactful conclusions, and narrate those findings to partners
Design and build best-in-class self-service dashboards using a mixture of analytical and visualization techniques to influence business and product decisions
Collaborate with engineering, data engineering, and analytics to improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines
At a Minimum You Have:
Deep understanding of statistical methods and experiment designs for analytical problems
5+ years of quant analysis and analyzing A/B/n and multivariate experiments
5+ years of using SQL to extract and manipulate data
1+ year of coding in Python or R
Advanced knowledge of visualization tools such as Looker or Tableau
Comfort with ambiguity, evolving priorities, and an ability to operate autonomously
Ability to narrate insights for complex problems to non-technical audiences from frontline operators up to and including executives
A Big Plus If You Have:
Experience with operations data (fulfillment, contact rates, etc.) and/or healthcare data (HIPPA, PHI, etc.)
1+ years of building, growing, and managing a team of analysts
ML model development and training (Predictive Modeling)
Experience operating cross-functionally with globally distributed teams
You'll Get:
An open culture where we always seek improvement and cherish your input
Great compensation package with equity compensation
Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
High-coverage medical, dental & vision
Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need
Employee discounts on hims & hers & Apostrophe online products, and Apple Store
$75 monthly connectivity stipend (phone/internet)
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance
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Principal People Scientist Thought Leadership Lead | Microsoft |
You are a builder and an influencer, shaping the Viva People Science POV and research roadmap, architecting content creation and curation systems that allow key stakeholders to execute at scale. You thrive in ambiguity and create structure and clarity for others. You simplify the complexity of the social sciences to deliver pragmatic recommendations and assets. You act as a connector, bringing ideas and best practices together into a cohesive narrative.
You are highly effective at managing multiple project initiatives and programs, working as an individual contributor on some, and coaching colleagues to produce prolific content with quality on others. You will partner with researchers, product, and marketing to stay current on best practices, identify future trends, and to shape Viva People Science’s brand as an industry thought leader.
You like to work hard and have fun with the most talented people in the industry on a mission to help people be happier and more successful at work. Our team members are positive, authentic, connected, and transformative.
#EXP #EXPJobs #MicrosoftViva
Responsibilities
Build and manage the system and process to connect insights and perspectives from various primary and secondary research conducted by different research teams to inform product and go-to-market decisions and discussions Evolve People Science POV strategy and roadmap and improve the core processes, practices, and assets needed to drive strategic execution. Build and maintain consultative relationships with stakeholders, develop thought leadership across the teams, and influence stakeholders with clear and compelling POVs grounded in research and science.
Collaborate with People Science and other R&D teams to translate ambiguous problems into research questions and hypotheses. Serve as a writer, editor, and coach to the team members developing People Science POV content. Manage project teams and provide support and development opportunities to the team members. Establish a smooth and repeatable rollout process to communicate all finalized content ensuring the right information is communicated to the right users in a timely and effective manner.
Qualifications
Qualifications:
Minimum 10 years experience in applying social sciences to the workplace (e.g. internal/external consulting, Human Resources , organizational development, and related areas) Track record of successful cross-disciplinary collaborations Experience building scalable research strategies and systems
Preferred Qualifications:
Masters or PhD in Industrial/Organizational Psychology or related field
US Base Pay Disclosure
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time. At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid vacation time, paid sick and mental health time, and several paid holidays, among others.
Our commitment to pay equity We are committed to the principle of pay equity – paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. (https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report)
Understanding roles at Microsoft The top of this page displays the role for which the base pay ranges apply – Data Science IC5.The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts – the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role – a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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Principal Applied Scientist | Microsoft Cloud Computers Apps Gaming |
The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Principal Applied Scientist who is passionate about machine learning and driven to make an impact by developing state-of-the-art new technologies in video compression.
Responsibilities
Apply machine learning to create new machine learning based video codecs
Drive independent investigations resulting in shipping product code, patents, and publications.
Qualifications
Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent Deep knowledge of computer vision, especially in applying DNN’s to vision problems Minimum of 6 years of professional experience in deep learning and using tools like TensorFlow/Pytorch
Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time. At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid vacation time, paid sick and mental health time, and several paid holidays, among others.
Our commitment to pay equity We are committed to the principle of pay equity – paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. ( https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report )
Understanding roles at Microsoft The top of this page displays the role for which the base pay ranges apply – Data Science IC5.The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts – the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role – a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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Senior Data Scientist | Microsoft Cloud Computers Apps Gaming |
Do you want to be on the leading edge of using big data and help drive development decisions for the biggest productivity software on the planet? Office Product Group (office core apps like Word, Excel, PowerPoint, Planner, Forms and more) has embarked on a mission to delight our customers by using data driven engineering to develop compelling products and services. Office is looking for an experienced Data Scientist with a passion for Causal Machine Learning. This role will act as the Tech Lead for Causal ML within Office partnering with both Microsoft Research and the Office of the Chief Economist. Core goals for this role include measure the impact of AI and Premium features across the Office product suite. This Data Scientist will leverage petabytes of data, economic and statistical modeling, and experimentation to quantify user engagement, satisfaction, and growth.
The role involves working with application teams (like Word, Excel, PowerPoint, Project, Planner, OneNote, Teams, and Outlook), other data scientists, data engineers and program managers to continuously improve our understanding of AI and Premium feature usage, retention, and user satisfaction.
We are looking for a strong Senior Data Scientist with a proven track record in data driven decision making. Ideal candidates should be able to identify a business or engineering problem and translate it to a data science problem, dig out sources of data, conduct the analysis and modeling, including solving complex machine learning problems that drive our strategic thinking and product development. They should also be able to work with the PMs and the engineering teams to operationalize the solutions.
Responsibilities
Responsibilities
Core Skills:
Identifies data sources, integrates multiple sources, or types of data, and applies expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis. Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.
Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations. Presents findings to product and engineering leadership and incorporates feedback on the analyses. Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem. Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results. Works collaboratively with PMs to translate the business needs into metrics and then works with data engineering to implement these metrics including identifying and obtaining the necessary data.
Qualifications
Qualifications
Requirements:
5+ years of industry experience applying statistical modeling, ML or data mining algorithms to real world problems. 2+ years of industry experience applying causal models to real world problems, with a deep understanding of causal inference modeling. Strong proficiency in one or more of the following statistical software: R, SAS, etc. Strong proficiency in one or more of the following scripting languages: Perl, Python, Scala, or SQL Solid foundation of statistical modeling and machine learning algorithms and experimental design
Preferred skills:
2 + years working with Spark Experience with PySpark
The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year.
Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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Data Scientist | The Hershey Company |
Job Title: Data Scientist
Job Location: Hershey, PA
This position is open to 100 % remote.
Summary:
The Enterprise Data Science organization drives value creation for Hershey through development and deployment of innovative and scalable AI & ML solutions. The Data Scientist plays a key role in Hershey’s enterprise data science roadmap, partnering with Hershey business and technology stakeholders to strategize and execute companywide AI & ML initiatives. You will act as a trusted advisor for Hershey business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes.
Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.
Specific Job Responsibilities:
Participate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning
Apply machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems
Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate
Work closely with technology, business, and engineering teams to drive model implementations and adoption of new algorithms
Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies
Consult project leadership to understand projects’ needs/requirements to recommend opportunities and identify gaps to ensure clean and rapid project delivery
Strategic thinker with holistic vison, specific focus on automation of existing processes to drive key business performance
Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers
Minimum Education and Experience Requirements:
Education:
Master’s degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline with a strong focus on use of predictive analytics and optimization
Experience:
1+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning, deep learning and/or optimization models
1+ years of data engineering experience with large-scale data storage processing architectures (Hadoop, SQL, HIVE, Spark/SparkR, etc.)
1+ years of experience working with cloud-based analytical systems (e.g., AWS, Azure, Google Cloud)
Advanced working knowledge and experience with data science and relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions and Hadoop
Experience with major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras)
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
Ability to communicate complex ideas in a clear, precise, and actionable manner
Experience working in a high performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align to business partner strategy
Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
#LI-CW1
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Intern Data Science Summer | The Hershey Company |
Location: Hershey. PA/Remote
Duration: Summer 2023
WHY INFORMATION SERVICES AT HERSHEY?
The Information Services department at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey business. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.
OPPORTUNITIES:
We are looking for a Data Science Intern who will work with the Enterprise Data Science to build strong analytic capabilities. Applicants must have some exposure to at least two of the following: machine learning, statistical modeling, feature engineering, optimization, exploratory data analysis, data mining and pattern recognition.
RESPONSIBILITIES:
Use machine learning, and advanced statistical techniques to create scalable solutions to business problems
Collaborate with the Enterprise Data Science team to define and quantify business problems, and help them implement appropriate algorithmic solutions
Proactively identify capabilities which should be improved
Partner with Information Services and business stakeholders to drive conversion
QUALIFICATIONS:
Students currently enrolled in graduate programs (Master’s or PhD) with a strong STEM focus (e. Computer Science, Engineering, Economics, Mathematics, Statistics, Psychology -)
Experience with machine learning and big data analytics tools (e.g., Scikit-learn, Keras, TensorFlow, Pandas, NumPy, PySpark), or experience with Operations Research (e.g., linear programming, integer programming, mixed integer programming)
Hands on experience with key programming languages such as Python and other IDE tools like Jupiter Notebook.
Passion for analytical problem solving
Quick learner through formal and self-guided education
Pro-active self-starter with a desire to make an impact
Ability to work in teams or individually
Excellent written and verbal communication skills for coordinating across teams
Exposure to analytical solutions in the cloud (e.g., Azure, AWS, or GCP) a plus
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Applied Scientist Intern Rentals Analytics | Zillow |
About the team
Zillow has streamlined the way people search, tour, apply and pay rent for leased properties. Zillow’s rental listings offer our customers all property types, from large-scale multifamily communities, to unique, single family homes. Our team of data specialists focuses on helping our valued partners showcase their properties with impactful end-to-end solutions and consumers discover their next home.
About the role
We are seeking an inquisitive Applied Scientist intern who will help us develop creative solutions to the broad business problems we are solving. Our team is at the forefront of solving everyday problems faced by a wide variety of renters and landlords. With your help, we hope to build methods that allow us to better identify and serve our consumers and their unique needs.
As an intern on you will get to:
Collaborate with Data Scientists, Machine Learning Engineers and Data Engineers to analyze terabytes of data to improve our understanding of how users use Zillow.Efficiently collect and wrangle data in sophisticated formats from diverse sources to derive new insightsBuild interpretable models to predict and explain effects of the real estate market on our Rentals BusinessInteract directly with partners to understand problems first-hand
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.
Who you are
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related fieldInterested in working on innovative solutions to problems in the private real estate space Proficiency in statistics, applied models and forecastingProficient in scientific programming, including data manipulation, modeling, and visualization; Python and SQL strongly preferred.Ability to conduct independent research and apply research methods to real-world problems.Ability to clearly communicate and present results to both technical and non technical audiences.
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Senior Data Scientist | Car Next Door |
#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 300,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, and statistics. We are the mathematical decision scientists for their product development organization and play an active and collaborative role in building and improving the product.
The Impact You’ll Make
As a Data Scientist on our revenue team, you will focus on driving revenue growth and advertiser value through delivering data-driven insights into ads marketplace health, developing bidding/pacing/pricing/delivery optimization models and designing advanced measurement approaches to solve complex ads ecosystem problems. You’ll directly contribute to growing and improving our core ads products, and will help lead us to the future of data and revenue at Nextdoor.
We are looking for an entrepreneurial and driven data science lead to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, sales & finance to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. You will also design and develop ML modeling to improve our ads relevance and intelligence. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through timely execution. You are keen on building a deeper understanding into ML algorithms and advertising system.
Your responsibilities will include:
Design and develop algorithms and models to optimize our ads relevance & customer value
Leverage statistics, time series analysis, machine learning, and natural language processing to extract and represent valuable insights
Develop and share key strategic insights through data analysis, including designing experiments and evaluating the performance and impact of data-driven content
Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, operations, and sales)
Create and optimize statistical models and algorithms to help drive product and strategic decision-making
Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow and succeed
What You’ll Bring To The Team
4+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc
Experience in applied statistics and statistical modeling in at least one statistical software package, preferably R/Python
Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
Deep understanding of ML models and preferably experience in production model deployment
Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
Ability to solve ambiguous business problems with structured analytics framework
Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies
Bonus Points
Experience in Ad Tech and B2B advertising, in particular working with ads optimization and measurement products. Keen understanding of the ads ecosystem
Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $145,000 to $237,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote
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Manager Data Scientist Anti Money Laundering Modeling And Advanced Data Insights | Capital One |
Overview
Center 1 (19052), United States of America, McLean, VirginiaManager, Data Scientist, Anti-Money Laundering Modeling and Advanced Data Insights (Remote-Eligible)
Manager, Data Scientist, Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop ETL data pipelines, predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, R, and Spark and we aim to expand our detection capabilities using sophisticated Natural Language Processing (NLP) algorithms and graph analytics. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild statistical, machine learning, and NLP models through all phases of development, from design through training, evaluation, validation, and implementationUse graph databases and algorithms to identify network patterns, detect activities and/or communities of interest, and generate graph features for use in machine learning modelsFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Statistically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years of experience in data analytics, or PhD plus 1 year of experience in data analyticsAt least 2 years’ experience in open source programming languages for large scale data analysisAt least 2 years’ experience with machine learningAt least 2 years’ experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years’ experience in Python, Scala, or R for large scale data analysisAt least 4 years’ experience with machine learningAt least 4 years’ experience with SQLExperience with Natural Language Processing (pytorch or TensorFlow)Experience with graph databases and graph querying languages, network analysis, label propagation, or community detection algorithms
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is open to hiring a Remote Employee for this opportunity.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City: $156,595.00 - $184,748.00 for Data Science PhD Colorado: $132,699.00 - $156,555.00 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Location is New York City- $190,950 and $225,278 for Mgr, Data ScienceLocation is Colorado- $161,847 and $190,943 for Mgr, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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Manager Data Science Platform | Figma |
We’re looking for an experienced leader to join our data science org who is excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager for our Platform teams, you’ll work closely with your team, engineering leaders, and the broader data science team to build internal and external facing data products as well as deliver strategic insights that will help Figma continue to scale. The ideal candidate will have deep technical expertise, experience leading a breadth of technical contributors including ML data scientists and data engineers, and know a thing or two about building data products from the ground up.
This is a full-time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Manage, support, and grow a diverse team of data scientists and data engineers embedded in our foundation teams including product performance, infrastructure, and internal tooling
Partner with engineering leadership to set strategy, priorities, and mission for teams and projects
Guide development of new and sophisticated applications of data
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Grow your career in an engaged and creative community
We’d love to hear from you if you have:
4+ years of experience managing high-output data science and engineering teams working on internal tooling and ML
Firm knowledge of machine learning and experimentation techniques and tooling
A passion and unwavering commitment to leveraging data to guide product development
A desire to build an inclusive and diverse culture
Experience scaling teams in high-growth environments
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team:
From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D: The Decade of Design
Figma's engineering values
#LI-LB1
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Product Data Scientist Senior And Staff Levels | Mozilla |
To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.
To learn more about our Hiring Range System, please click this link.
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R1691
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People Data Scientist Quantitative Psychologist | Testgorilla |
Hi,
I’m Kim, the Head of Assessments at TestGorilla. We’re a fast-growing HR tech startup that helps teams make better, faster and more objective hiring decisions.
Over the past year, we’ve experienced tremendous growth. More than 8,000 companies have replaced CVs with our assessments to screen candidates in an objective and data-driven way.As we scale our efforts in 2023 and beyond, we’re looking for a People Data Scientist / Quantitative Psychologist who’s passionate about joining our quest to help people land their dream jobs.
What’s in it for you?
Helping shape a fast-growing HR tech startup as an early employeeFully remote position with bright, motivated, and friendly colleagues around the world Competitive salary + share appreciation rights (SARs) commiserate with an early employeeFlexible hours and vacationPaid parental leave Remote working budget: €1,000 per yearLearning and development budget: 3.5% of salary per year
The job in a nutshell
We are looking for open-minded, tech-savvy professionals to assist in the ongoing development of our assessment products. As a People Data Scientist / Quantitative Psychologist, you will work directly with TestGorilla’s core offering: our assessments and test instruments.
You will collaborate with cross-functional teams and interdisciplinary experts around the globe to ensure that our existing and future psychometric and skills-based assessments are robust, fit for purpose, psychometrically sound, empirically grounded, and legally defensible. You will improve and evolve our statistical algorithms and recommendation engine for test reliability, in addition to supporting validation, adverse impact and/or DIF studies. Enhancing and automating relevant tools and methodologies that help develop and maintain reliable, valid, and fair tests will also be a focus.
Bringing both creativity and deep subject matter expertise in psychometric testing, you will help to fine-tune, enhance, scale and accelerate our assessment and test development process. You will also support the expansion into related domains such as exploring new methods and innovations in test development, and ways to generate and capitalize on data-driven insights and analytics.
This is an amazing opportunity to contribute to the innovation and development of talent assessment products within TestGorilla’s portfolio and join the team shaping and creating the future of hiring.
You’ll spend time on the following:
Leading data collection, test and item-level data analysis (classical and IRT), item bank design and analysis, calibration, test scoring and equating, linking, and scaling, standard setting and other relevant psychometric and maintenance activitiesImproving the reliability of our tests using our statistical algorithms, and enhancing these algorithms in collaboration with our software developersContributing to the development of new and enhanced test instruments including cognitive ability, personality and culture, situational judgment, role-specific skills and job skills (e.g. language, software, programming) which may include activities such as:analyzing and interpreting quantitative data and qualitative feedbackdefining and building scoring services and analytic methodsproviding display logic, report and design inputsupporting research, job analysis and validation activitiesproducing robust technical documentationSupporting customized psychometric analyses including validation, adverse impact, differential item functioning (DIF), and item and model fit that ensure compliance with industry standards Collaborating with interdisciplinary and international colleagues including Test Development, Product, Engineering and other teams to analyze and solve problems, contribute insights and best practices and ensure our platform offers a bias-free, compliant and accurate experienceProactively identifying enhancement and automation opportunities including technical, statistical, analytical, data, scoring, documentation or validation aspects to ensure efficient and streamlined delivery and implementing pragmatic solutions that ensure quality, growth, scalability, and are suitable for a production environment handling high-volumes of dataConceptualizing and deploying new approaches, innovations and alternative routes including scoring and assessment insight automation, new test design and modes of administration, and supervised or unsupervised learning modelsKeeping up to date with relevant research and developments, sharing latest thinking and advancements, and providing thought leadership and support internally and externally when needed as a ‘go-to’ expert in your field
Here’s what we are looking for:
You are inspired by our mission to put one billion people in dream jobsYou are fully aligned with our valuesYou are passionate about digital solutions, HR tech and recruitment trends, are eager to revolutionize tests and assessments, combined with proven psychometric assessments You have applied experience in measurement and test theory (classical, IRT, CAT) with knowledge of computer-based test construction and development, databases and item-banking including working with large practical datasets and merging, cleaning and validating large data filesYou have experience in research design and advanced statistical analysis in which you have managed and analyzed both structured and unstructured data and performed validity studiesYou are comfortable using a variety of analytic tools (e.g., Excel, SPSS, SAS, IRT software) and have experience writing syntax/code for data manipulation and statistical analyses using Python, R, or other modern programming languagesYou have experience accessing structured data using MySQL You have advanced knowledge of industry trends and best practices in the areas of computer-based testing, job analysis, psychometric assessment, reporting, and data analysis, for high stakes and volume assessment, and screening and hiring purposesYou have experience summarizing complex technical information and data into compelling stories and communicating to high-level, non-technical audiencesYou are comfortable with and excited by a fast-paced, agile, iterative environment and prefer a degree of ambiguity rather than strict and defined processes You are a creative problem-solver, can anticipate needs and proactively work to accomplish future goals, and have a flexible, positive, can-do attitudeYou make empirically driven decisions, and you are not afraid to challenge the industry status quo or best practicesYou are motivated by new challenges, breaking new ground, dealing with complexity, and you are willing to fail fast or try non-traditional approachesYou have experience successfully delivering in a remote, asynchronous, multicultural work setting and you are comfortable working with a team spread across the globe and in different timezones You are comfortable with the ambiguity and pace of iteration of a hyper-growth HR tech startup
We typically expect candidates with PhD-level understanding in psychometrics, quantitative psychology, I-O/business psychology, educational measurement, statistics, data science or a related discipline to have the skills mentioned above.
Bonus points if…
You have experience working in a SaaS company and a fast-growing startupYou have operated within a corporate, product design/development, consulting or professional services environmentYou have experience with new and emerging technologies in assessment (e.g. FC-IRT, mobile-first, gamification, AI/ML)You have knowledge of EEOC, ADA, GDPR, and other regulatory guidelines and frameworks relevant in our field
About TestGorilla
At TestGorilla, we envision a world where everyone has their dream job. To achieve this, employers and employees need to have the right information about each other.
We started in 2020 by building a screening platform that enables employers to evaluate candidates in the skills that matter most for success in a role. Our product replaces subjective, incomplete, and often inflated CVs with objective, reliable, and fair test results measuring aptitude, practical job skills, motivation, and culture add.
Improving and expanding this platform is currently our core focus, but it’s only the beginning of our journey to get everyone their dream job. Over time, we will launch more products that support this mission.
We have procured $70m in Series A funding from the venture-capital firms Atomico and Balderton Capital, and our growth is on target to continue exponentially. Chances are you’re familiar with some of our biggest customers, like Sony, PepsiCo, H&M, Deloitte, Bain & Company, Oracle, Revolut, and the UK’s National Health Service.
We work remotely, spread across the Americas, Europe, Asia, and Africa.
Interested?
We don’t offer rainbow glitter unicorns or dog-friendly offices (we literally don’t have an office), but we do offer real people, solid core values, and a product meant to give everyone a fair, unbiased chance at their dream jobs.
Here at TestGorilla, we eat our own dog food. We use our assessment platform to make sure we make the best hiring decisions faster and bias-free.
So if this role sounds like a good fit for you, I’d like you to apply by taking this assessment. This will take about an hour and will focus on your soft and hard skills required to succeed in this role. It’s also a great opportunity for you to get to know our product!
If you’re hired, I’ll do everything I can to help you succeed at TestGorilla and throughout the rest of your career!
Contact us
Apply now
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Staff Data Scientist | Classdojo |
ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.
What you’ll do:
As a staff data scientist you’ll head up a new initiative around creating our first Ecosystem team, enabling ClassDojo to grow from where we are to our next major milestones: reaching 100 million+ families, and $100 million+ in revenue, while deepening love for our brand and continuing to pioneer the future of education.
As a staff data scientist, you’ll partner closely with our co-founders and Head of Product to work on the most important strategic questions that span the company. These questions can range from identifying new revenue opportunities to helping the company figure out how to accelerate growth internationally. But you’ll be the one driving which questions we need to focus on.
As a staff data scientist you’ll also be expected to help create a world class data team by mentoring other data scientists, showing what great data work looks like, and enabling a data driven culture.
You will be a match if:
You have at least 5 years of data science experience.
You might be a good fit if:
You have been working as a senior/staff data scientist for 3+ years and you have 7+ years of experience in data science at a consumer company, ideally with a focus on an ecosystem team/cross company initiatives or an early product launch team
You have experience with mentoring other data scientists (oftentimes them also senior data scientists) and you have experience-based opinions about how a world class data science team should operate and can identify and implement best practices at scale
You are able to take complicated problems and boil them down to their simplest components
You have great business / product judgment
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions
You possess strong written and verbal communication skills
You have a curious mind
You have an inclination to move surprisingly fast
[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist | Boldr |
We are actively building out our Data Science capabilities and are looking for somebody that is incredibly smart, ferociously hard-working, naturally collaborative and wonderfully curious to join us as a Lead Data Scientist. You’d start out working with our Lead Data Scientist understanding our Clients and Company vision. Then, you’d dive in and start working with our Operations team to configure Reporting Dashboards using Data Visualization Software. You will also need to be familiar with SQL and Python. The role will entail learning new tools, languages, and applications which requires a curious mind and an ability to stay self-motivated. You are responsible for the day-to-day support of the team and Lead Data Scientist.. You will coordinate with clients from time to time. You will also be working with the Lead Data Scientist and the People Team to identify growth and development opportunities for the team members. Build, edit and configure dashboards in Data Visualization Software Report out on process proficiencies and deficiencies Collect data by using a scripting language such as SQL Identify, analyze and interpret trends in complex data sets to drive business decisions Design, develop, implement, and maintain data visualizations Present findings effectively to clients, team members and management Experience in working on scalable cloud-based data science environments such as Google Cloud Platform Leverage proficiency of existing languages and tools required for data analysis including but not limited to: Google Sheets, SQL, Tableau, R and Python Assist in any special projects as needed People Development Identify growth and development opportunities for team members to enable career progression and self-development Monitor and assess team members’ performance, and provide timely feedback through regular coaching through the Employee Discussion Log and Quarterly Performance Appraisals Helps in culture building particularly in embracing our Core Values and exemplifying what a Boldr leader should be Team ManagementMonitor attendance and people concerns of all team members, coordinating closely with the HR Team for disciplinary cases Ensure that team members are properly trained and working consistently to meet client needs Ensure that the team meets company and client-specific KPI targets through product/service training Internal Coordination Work with the People Team to make recommendations for their team member’s career advancement based on their personal aspirations and learning needs Relay consistent issues to Service Delivery Manager in a timely and efficient manner External Communications Be familiar with the client’s key contacts, unique requirements, and operating processes Demonstrate mastery on the company and client’s offerings (i.e. its product and services) Understand, investigate, and solve any complex client requests or complaints Identify opportunities for continuous improvement and scaling growth, in coordination with the Service Delivery Manager Bachelor's/College Degree in Science, Technology, Engineering or Mathematics Previous experience building Dashboards is a plus Three years of supervisory experience in a related field Intermediate knowledge of cloud-based applications (Google Drive, Google Sheets, Google Docs) and MS Office applications Excellent verbal and written communication skills An ability to understand and communicate complex ideas to clients Aptitude to quickly learn and navigate new technology, systems, and applications Ability to accept feedback gracefully and with an op15en mind Customer orientation and ability to adapt/respond to customers with diverse backgrounds Health Insurance Remotely Training & Development HMO on-day-one Paid Bereavement & Family Leave Flexitime Maternity Leave Paternity Leave Paid Holidays Paid Vacation Leave Paid Sick Leave Solo/Single Parent Leave Special Leave Benefits for Women Mental Health Support
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Principal Data Scientist Nlp | Icertis |
With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 7.5 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.
Who we are: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination
The Principal Data Scientist is a detail oriented forward-thinking individual who will utilize data mining, data analysis, machine learning and natural language processing to bring innovation and differentiated capabilities to the Icertis Contract Intelligence. You will be at ease with contemporary machine learning, natural language processing frameworks and quantitative approaches and will be able to critically evaluate and design, build, and support pipelines that can analyze contract document collections at scale. When no suitable approaches are available, you can craft new and innovative machine learning and language processing solutions. Knowledge of enterprise level software architecture and components is a plus though not essential. You will have strong verbal and written communication skills, be effective in interacting with technical and non-technical professionals and be comfortable with team building and working in a team. #LI-REMOTE. This position can work remotely within the US.
What You Will Do:
Evaluate, apply and create machine learning and natural language processing algorithms and solutions to develop the next generation of contract analysis and synthesis capabilities.
Thought leadership and intellectual property.
Partner with business stakeholders to translate business objectives into clearly defined analytical projects.
Own the end-end process, from identifying a problem to implementing the solution.
Manage a small team of highly qualified senior data scientists and data scientists.
What You Will Bring:
15+ years of total experience with 7+ yrs of experience in AI/ML & NLP.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP.
You should have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language, Understanding and Neural Language Modeling.
Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.
Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Base Salary Compensation:
Min $ 244,000
Max $ 366,000
In addition to the base salary an annual target bonus and equity component is included in the compensation package.
What we offer:
We are committed to the health and well-being of all Icertians, their families, the communities they live in, and our customers. This commitment is represented in the Icertis “Four Rings of Responsibility”: Take Care of Self, Take Care of Family, Take Care of Community, and Take Care of Business, in that order.
To support these commitments, Icertis offers excellent health and welfare benefits, a generous 401k match, and a robust paid time off program. Here are some of the other reasons we’ve been named a Top Company to Work for by Seattle Business Magazine for the fifth year in a row!
•Equity (RSUs) and shared ownership in the company
•Flexible work location (role dependent)
• Paid maternity and paternity leave
• 7 Days for Humanity in 2023 – paid volunteer days
• Generous holidays including the 4th of July week off – paid
• Extensive remote onboarding program and virtual employee engagement events
This specific role might not be for you, but maybe you have a friend who would be a perfect fit. Please forward this opportunity to anyone who wants to help Transform the Foundation of Commerce!
Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to [email protected] or get in touch with your recruiter.
By submitting your application you acknowledge that you have read Icertis’s Privacy Policy (https://www.icertis.com/privacy-statement/)
Icertis is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
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Senior Data Scientist Healthtech | Pearl Health |
Who we are...
Pearl Health is restoring the independence and joy of practicing medicine for doctors in the United States. Our healthcare system has burdened our doctors with too much process, while removing them from what they do best: caring for those we love most. We launched Pearl Health because we believe primary care providers, armed with the proper tools and resources, can have an outsized impact in achieving high-quality, affordable healthcare. We foresee a shift to an increasingly value-based future where physicians and provider groups will participate in the value they create for the healthcare system and will increasingly require proper tooling, information systems, capital support, and technology to succeed in these models.
We are a team of physicians (Groups), practice-enablement experts (VillageMD, Steward, Stellar), technologists (athenahealth, TrialSpark, Flatiron Health) and health plan leaders (Oscar, Clover, Centivo) who believe that primary care providers (PCPs) are the key to America’s future health. Today, we support over 100 providers in value-based Medicare models and are on track to substantially increase the Medicare population we will be responsible for managing with our physician partners for 2023 (+$300M of Medicare benchmark risk). Our investors include Andreessen Horowitz and AlleyCorp.
What we hope you can do...
We are seeking a brilliant Data Scientist with a track record of propelling business strategies through analytical insights and algorithmic systems. Your work will be a core asset of our company, allowing us to more efficiently provide better care to our members and to create novel financial arrangements for each of our aligned physicians. You should be a strategic and analytical thinker, an effective communicator, an expert in analytical and data infrastructure systems, comfortable working with actuaries on complicated risk analyses, and performing sophisticated modeling exercises independently. We anticipate that AI, ML, and NLP will be central elements of our product, so you should have a deep familiarity with and passion for these technologies.
What a Data Scientist means to us...
Translate the company’s goals and vision into its strategy and operations by conducting sophisticated quantitative analyses while informing decisions about our infrastructure and approach
Help us change the future of work for doctors in America by applying state of the art technology solutions, including machine learning, natural language processing, and explicable AI - likely in partnership with key external partners.
Experience developing and deploying sophisticated algorithmic approaches to prioritizing patient care in a clinical setting (or comparably sophisticated spaces).
Support all business lines, including sales and business development, by enabling those teams to nimbly make data-driven decisions, balancing competing goals, and making difficult trade-offs when required.
Partner effectively with our Chief Product Officer and Chief Technology Officer toward best-in-class analytics systems to give our physician partners insight into their patient panels.
Support the technology needs of various departments by creating a data-literate ecosystem.
Who you are…
8+ years of experience in performing results-driven quantitative analysis in a collaborative environment.
Degree in statistics, applied math, computer science, engineering or a related field.
SQL expertise and strong foundation in at least one of the main data science programming languages. Python is our current primary language and is preferred.
A proven ability to conduct research and empower data-driven aspects of our product through a mix of internal resources and external vendors, especially in AI, ML and NLP domains.
Experience collaborating with data engineering teams to define needs for an ETL pipeline and familiarity with the most common ETL tools.
Thoughtful collaborator, able to manage multiple demanding stakeholders, assimilate complex information quickly, and scope work in a way that balances deep insight and fast turnaround.
Prior experience working with healthcare data in any part of the industry (payor, provider, pharmacy, etc.); familiarity with population health data is preferred but not essential
Our Values
We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things.
We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment.
Remote Work
We are a remote-first company, with concentrations of team members at our NYC headquarters and in the Boston area.
If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.
Compensation and Benefits
The expected base pay range for this position is between $140,000 and $170,000 per year. Base pay is one component of Pearl's total compensation package, which also includes access to healthcare benefits, a 401(k) plan and company match, possible equity options, and much more. Please visit our benefits page for more information: https://pearlhealth.com/our-benefits/
#LI-Remote
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Data Scientist | Thatgamecompany |
Data Scientist
thatgamecompany is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park.
We are seeking an experienced Data Scientist to help grow our data practice and contribute to solutions that will make our game better and safer for our community.
On any given day at thatgamecompany, you might:
Comb through large sets of game telemetry data to uncover player relationships, feature-usage patterns, malicious activity, inefficiencies, and areas to improve the player or developer experience.
Help find answers to some of the toughest questions impacting our game, studio, and community by performing analysis and building advanced machine learning models
Give a presentation to help talk through some unintuitive discoveries from one of your data models
We expect you to:
Have deep passion for video games; be a gamer and think on behalf of our players
Be curious, a problem solver and a self starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us
Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space
Be able to complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication
Must Haves:
3+ Years of Experience in applied Data Science
Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem
Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering
Experience building and deploying complex and scalable machine learning models in production environments
Experience writing clean, efficient code in Python, R, Java, or Scala
Experience writing optimized SQL Queries to build and analyze datasets
Some exposure to a modern Cloud Platform, preferably GCP
Some knowledge or experience with Big Data Processing Tools
Like BigQuery, Redshift, Snowflake, Spark/Beam, Hadoop
Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it
Eager to learn new skills and always open to jump out of your comfort zone.
Nice to Haves:
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:
Experience with Vertex AI or BigQueryML
Experience with Graph Databases or Matchmaking
Experience with 3d event data
Experience with Source Control, CICD, or Infrastructure as Code
Experience in the video gaming industry
Experience in a small company with a startup feel
Interest in technical writing and sharing your work
We look forward to meeting you!
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Senior Staff Data Scientist | Gofundme |
Want to help us, help others? We’re hiring!
GoFundMe is a global community of over 100 million people with a common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. Since 2010, GoFundMe has become a trusted global leader in online fundraising, with $17 billion raised from over 200 million donations. Our vision is to become the most helpful place in the world.
Join us! The GoFundMe team is searching for our next Senior Staff Data Scientist to join our Data Insights team.
The Job…
Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for various departments across the company
Act as technical leader on the team - identify and disseminate best practices across team in terms of tools, systems, and processes
Create and monitor KPIs and present emerging trends and actionable insights to leadership team
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Develop dashboards and perform ad hoc analysis
Build forecasting and ROI models to project growth for various initiatives to assist with roadmap prioritization
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
Perform light ETLs as needed for the role
You…
10+ years of experience building data analytics and science projects
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
Advanced ability to perform data segmentation and manipulation directly using SQL and Python or R
Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting
Data visualization skills and experience with BI tools (Tableau/Looker)
Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers
Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs a plus
Experience mentoring more junior data scientists/analysts
Master's degree in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas)
Why you’ll love it here...
Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
A variety of mental and wellness programs to support employees
Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
Learn more about GoFundMe...
GoFundMe 2022 | Year in Help
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality
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Data Scientist | Stable |
At Stable, you’ll design products that EV charging organizations use to architect tomorrow’s infrastructure.
If that sounds like something you’re passionate about, we welcome you to join our team of diverse problem solvers from across academia and the automotive industry.
Stable Auto is an early-stage, venture-backed company developing the mission control for charging station build-outs. We work to navigate the unknowns, clearing the way to a fully-electric future, faster.
We offer comprehensive health plans including dental and vision coverage, 401k, parental and family leave, and flexible remote work with work-from-home and co-working stipends available.
We are looking for a data scientist to help us build and scale our breakthrough EV infrastructure intelligence platform.
You will help us navigate the complex challenges of building and managing the tools needed to help charging companies deploy millions of EV chargers across the world. The clock is ticking on climate change, and with hundreds of thousands of EV chargers needed in the next few years, Stable's platform will be essential to deploying them smarter and faster.
You are a data scientist but you will have the opportunity to tackle large and varied problems outside of your role as we scale our business.
In This Role You Will:
Work closely with Stable’s data science team to build powerful machine learning models to predict & improve EV charging station performance
Develop and architect data frameworks for model development and performance monitoring
Explore dynamic datasets- craft visualizations of data and elegant ways of communicating complex interactions in simple terms.
Understand customer needs and identify opportunities for innovation
Define evidenced-based recommendations of product features based on your models’ outputs.
Lead the charge. Some decisions are truly marginal, and we trust you to make the best decisions you can. Expect autonomy and full support when you need it.
Shape the future of transportation infrastructure
Your Experience:
Bachelors or Masters in Computer Science, Mathematics, or a related field.
2-3 years of experience in machine learning or data science.
Familiarity with Python, Tensorflow, RESTful APIs, Google Cloud, AWS, SQL, CI/CD.
Some experience in visualizing geospatial data.
You are able to make sense of nebulous problems, develop innovative solutions, and communicate those solutions in ways that are easy for others to understand.
Naturally curious and excited to tackle hard problems.
Excited to work in a fast-paced, early-stage startup environment working to clear a path for all-electric transportation.
Bonus if you have prior experience in transportation, urban systems, electrical grids, or other related domains that take care of large spatial datasets.
What will make you successful at Stable
You have a passion for electrification and practical experience in the field
Your inner problem-solver is ignited by the gnarliest challenges
You can quickly iterate, navigate uncertainty, and identify when things are not working
You’re a natural translator — able to communicate complex ideas simply
You’re a kind, humble, generous collaborator
Does this sound like you? If so, we’d love to hear from you.
Our goal is to build an inclusive working environment where all people feel equally valued and respected. Whatever your gender identity, religion, ethnicity, age, nationality, sexual orientation, marital status, veteran status, socio-economic standing, disability status, or anything else that makes you special - we value it! We are an equal opportunity employer, and we’d love to see what you might add to our team.
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Applied Scientist Inference And Metrics | Yelp |
Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference.
Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and creative solutions to problems. We enable all new team members to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor, and team. At the end of the day, we’re all about helping our users, growing as engineers and scientists, and having fun in a collaborative environment.
Sound exciting? Keep reading.
We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
Where You Come In:
Identify and own challenging problems, form testable hypotheses, and drive significant business impact
Lead the design and analysis of experiments or development of causal and predictive models to test your ideas
Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams
Communicate your conclusions to technical and non-technical audiences alike
Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events
Productionize and automate model pipelines within Python services
What it Takes to Succeed:
Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.)
Experience with predictive modeling/machine learning, forecasting, or causal inference
A degree in a quantitative discipline such as Computer Science, Statistics, Econometrics, Applied Math, etc., or equivalent experience
A love for writing beautiful code; you don’t need to be an expert, but experience is a plus and we’ll expect you to learn on the job
A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal
The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value
Comfortable working in a Unix environment
#LI-Remote
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
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Data Scientist | Altoida |
Altoida, Inc is making brain health smart and personal. Our innovative approach combines novel digital biomarkers (dBM) with immersive augmented reality (AR) and powerful artificial intelligence (AI). The result is a brain health platform built on more than 20 years of cutting-edge scientific research. Our products are backed by peer-reviewed publications and multinational clinical trials and are built by our passionate team of scientists, clinicians, and engineers.
Our Altoida family is united by 5 core principles:
1. We are data-first: data isn’t a buzzword to us, it’s at the core of our technology and in the DNA of our decision-making processes.
2. We are relentless: we know the impact our work will have on the world and are in pursuit of extremely lofty goals - we don't settle at “good enough.”
3. We are innovative: Our founders, executives, and early team members are united by a love of thinking differently and seeing groundbreaking ideas come to life.
4. We are thoughtful: From the way we treat each other to the way we unpack tough problems, we are considerate, respectful, and holistic.
5. We are adaptive: In a high-tech world, nothing is set in stone - we recognize and embrace that in our strategy and culture.
About the Role
We are looking for a Data Scientist to join our data science team on a permanent basis. As a data scientist, you will be helping to improve Altoida’s machine learning models using your knowledge of statistics, Neural Networks, and Bayesian Inference. Upcoming projects you will be working on are speech analysis, genetic analysis, and optimizing test sequences using Bayesian inference. #LI-Remote
Responsibilities
Collaborate with the data science team to continuously improve Altoida’s machine-learning models using your understanding of the problem domain
Envision, implement, and evaluate new features and approaches to help improve Altoida’s machine-learning models
Lead the implementation of methods for new feature domains such as speech analysis
Translate data science requests from clients into novel classification models and statistics
Use state-of-the-art methods to validate newly developed models and procedures
Communicate with the clients and sales teams about Altoida’s data science offerings
Monitor incoming data to meet Altoida’s quality requirements
Review merge requests in data science repositories.
Assist in writing reports, publications, and patent applications
Look for opportunities to improve the current processes and implement best practices from the industry
Preferred Qualifications
Master's degree in data science, machine learning, artificial intelligence, operations research, or an equivalent field
3+ years of industry experience in the field of data science or machine learning
3+ years of industry experience in python programming
Strong knowledge of tools like scikit-learn and TensorFlow
A thorough understanding of neural networks, Bayesian networks, ensemble learning, feature engineering, and feature selection methods
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with their potential applications
Previous experience with voice analytics and time series analysis is a plus.
About You
You work independently and proactively
You have a positive attitude
You are not afraid to voice your opinion
You produce positive results in a high-pressure environment
You prioritize tasks and complete assignments in a thorough and competent manner
You recognize areas to increase efficiency and contribute solutions
You are sensitive to the client’s needs and can develop warm client relationships
You have proficient oral and written communication skills and enjoy working in a team environment
You get excited about statistics, machine learning, and software development.
You have a master's degree in data science, statistics, biostatistics, machine learning, artificial intelligence, or an equivalent technical research-based field. A Ph.D. is a bonus.
Compensation
We offer competitive total rewards compensation. Our commitment to our employees includes benefit programs that are comprehensive, diverse, and designed to meet the various needs across our employee population. Throughout our global footprint and various business units, we take a balanced approach to the benefits we offer. Many benefits are company-paid, while others are available through employee contributions. Specific benefit offerings may vary by location, position, and/or business unit.
The full-time salary range is commensurate with experience.
Benefits
- 401(k) with matching
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Location
Altoida’s US headquarters is located in Washington, DC. The position is remote eligible, with minor travel expected.
Equal Opportunity
Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Director Data Science Advocacy Nonprofit | Civis Analytics |
Civis Analytics is seeking a Director to play a pivotal role in powering Civis’ growth within the Advocacy & Nonprofit sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis's business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with global nonprofits and companies, as well as Federal agencies and state & local governments, to help solve their toughest challenges with data science. The Director will manage, supervise, and mentor a team of Applied Data Scientists to deliver analytic solutions to help inform our clients’ biggest decisions.
The Director will work closely and cross-functionally with teams across the company, including engineering, product, legal, finance, and sales, to advise, oversee, and communicate work internally and externally.
Responsibilities
Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology
Partner with technical, product, and sales teams to establish a strategy that accomplishes a client's strategic goals
Own engagements end-to-end and design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and developing expertise and credibility in nonprofit data science
Develop and manage relationships with clients and decision makers and be responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Minimum Qualifications
Bachelor’s degree in an analytical subject (e.g., statistics, math, social science) or business (e.g., marketing, economics)
Minimum of 7 years of applicable work experience in a significant management role, management of line of business, or management of a research group
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Firm understanding of statistical software and programming applications (e.g., SAS, Stata, R, Python) and visualization technologies/libraries (e.g., Tableau, D3, Google)
Experience managing teams to complete projects within scope and on time
Experience overseeing multiple projects with competing resource demands and timelines
A track record of helping teams win new contracts
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to advocacy groups and nonprofit organizations
Preferred Qualifications
Advanced degree in an analytical subject or business
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients
Experience working for a consulting, services, or advisory firm
Familiarity with machine learning and causal inference a plus
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
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Pay Transparency
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Data Scientist | Liveramp |
LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
LiveRamp is currently ramping up its Safe Haven business in the U.S. and is in need of a skilled Data Scientist who can tell our customers a story with their data. You’ll work directly with our largest and most complex clients’ datasets and data teams to help them derive value from the newly unlocked potential that Safe Haven provides them.
You will:
Act as a subject matter expert (SME) on how to efficiently leverage the Analytics Environment within LiveRamp’s Data Collaboration platform in order to help clients enable their use cases
Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insights to support client campaigns, products, or business decisions
Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions – retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)
Collaborate with client on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs
Identify data gaps and advocate for additional data sources to meet unmet marketplace need(s)
Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions
Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods
Prepare compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
Work with the internal engineering teams to provide input to the data science product roadmap
Provide mentorship and guidance to other data analysts/scientists where necessary
Your team will:
Help customers make sense of datasets from across the ecosystem and find meaningful value in sharing data with Safe Haven.
About you:
Bachelor’s degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master’s Preferred)
4+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
4+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision
4+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision
Solid understanding of current data science best practices and technology stacks
Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations
Hands on experience with propensity modeling, lookalike modeling and segmentation
Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions
2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner
Experience with cloud computing services such as GCP
Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Bonus Points:
Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)
2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling
Understanding of omni-channel campaign measurement methodologies
Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques
Understanding of LiveRamp’s role in the market and the broader AdTech/MarTech space
Data privacy/security and related governance processes (Privacy Impact Assessment, CCPA, GDPR, etc)
Benefits:
People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: Medical, dental, vision, life, and disability. Plus, mental health support (via Talkspace), flexible time off, parental leave, family forming benefits, and a flexible lifestyle and wellbeing reimbursement program (up to $375 per quarter, U.S. LiveRampers)
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located.
Location: Work from home (remote-eligible roles)
More about us:
LiveRampers are empowered to live our values of committing to shared goals and operational excellence. Connecting LiveRampers to new ideas and to one another is one of our guiding principles—one that informs how we hire, train, and grow our global teams across nine countries and four continents. By continually building inclusive, high belonging teams, LiveRampers can deliver exceptional work, champion innovative ideas, and be their best selves. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.
California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
#LI-Remote
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Data Scientist Styling Core Services | Nordstrom |
Job DescriptionThe vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes. The Strategic Analytics team supports this vision by empowering the executive team with robust data products and analytical consulting that helps steer short and long term strategic decisions. We are looking for a Data Scientist to build end-to-end Machine Learning based Analytic Data Products that will directly impact leaders across all levels of the Nordstrom business. This person should utilize proper Data Science based techniques and have experience across full-stack. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data and communicate those insights in a way that builds confidence and enables decisions that drive business value.We are part of the Nordstrom’s centralized Data Science and Analytics team with the focus on supporting executive management with robust decision support data science. Here we build data science products and provide analytics consulting in support of strategic business decisions, including customer personalization, marketing, merchandise, supply chain, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit!The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes.We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We’re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!Read this first: We encourage you to apply even if you do not meet all of the qualifications, but feel you would be a good fit for the position. Nordstrom is an equal opportunity employer. We are building a diverse, inclusive workforce and hope you will join us!A day in the life...
Collaborate with our partner teams to create data science products and solutions for stakeholders, translating questions to robust answers efficiently.
Apply advanced statistical methods, data modeling, and predictive analysis to answer strategic questions.
Extract and prepare large sets of data for analysis.
Perform large-scale statistical analysis and develop and apply segmentation, predictive models, and forecasting models to key business problems.
Research, design, and implement production-level, scalable code and algorithms.
Work within and across teams to develop and deploy data products and data-driven software, to provide analytical insights.
Collaborate with the BI and analytical teams, and support ad-hoc analysis.
Improve existing data resources by building data pipelines using AWS Cloud Services and other services.
Lead code and documentation reviews, educating the adoption of Data Science/Machine Learning best practices within the center of excellence.
Minimum qualifications include…
5+ years hands-on professional experience in Data Science and Analytics.
3-5+ years of strong coding skills in at least one statistical or programming language (e.g. R, Python) to import, process, summarize, and analyze data.
Experience with utilizing data visualization tools to tell compelling data stories (e.g. Tableau, Shiny)
Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
A solid grasp of the Scientific Method and its application to Data Science.
Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
Proficiency with statistical and machine learning algorithms (e.g. regression, decision trees, collaborative filtering, clustering, survival analysis, graph theory, etc.).
Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
Our ideal candidate has…
MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
Strong background and proficiency with advanced methods such as (neural networks, Bayesian networks, deep learning, recommenders, etc.)
Experience of building and maintaining operational models processing large quantity of data in real-world production environments such as SageMaker, AzureML or Kubernetes.
Experience building and deploying data apps using R Shiny, Flask, Dash or similar tools
Experience developing packages in R or Python along with clear documentation
Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing.
Deep knowledge of statistical and machine learning algorithms and experience developing and deploying them to production-level systems (using Scikit-Learn, mlpy, MICE, Caret, PyTorch, Keras, or TensorFlow).
Experience working in a highly-collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
Experience developing and deploying data pipelines using Cloud Services (e.g. AWS).
Experience using engines such as Apache Spark or Hadoop to analyze large datasets.
Experience with data ETL, RESTful APIs.
Strong coding skills in Python, R. Strong preference will be given to those who can code in both R and Python.
Familiarity with e-commerce analytics topics (e.g., digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, to name a few).
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote#LI-EB1We’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. © 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $106,500-$159,700, Nevada: $106,500-$159,700
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Sr Data Scientist Supply Chain | Nordstrom |
Job DescriptionNordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. Five values guide how we work together and how we deliver analytic insights and data science products. We are customer-obsessed, owners at heart, curious and ever-changing, here to win, and committed to extending ourselves. We understand that our success comes from empowering our employees to set their sights high and deliver exceptional service to our customers.The Inventory Positioning Data Science team’s mission is to use data science and analytics to power Nordstrom’s decision making about where inventory needs to be to best serve customers what they want, where they want it, and when they want it. We predict how much of which types of inventory Nordstrom will have in various locations in the future to enable our merchants and supply chain partners to best serve our customers on their terms. We build and deploy models to allocate inventory to the stores and fulfillment centers based on where we anticipate customers will want it. We collaborate with product management, program management, and engineering colleagues to provide data-driven solutions for our partner teams. We welcome feedback, and we evaluate our products’ performance over time to identify and realize improvements over the long term. In everything we do, we prioritize making a big impact for our customers.Read this first: We encourage you to apply even if you do not meet all of the qualifications, but feel you would be a good fit for the position. Nordstrom is an equal opportunity employer. We are building a diverse, inclusive workforce and hope you will join us!What you'll do
Develop a deep understanding of Nordstrom’s business and inform how we can use data science products to progress from our current state of inventory management to our target state using machine learning
Proactively identify high-value opportunities and influence stakeholders’ roadmaps
Master complex data sources, function as a subject matter expert in inventory flow across all of Nordstrom’s businesses (i.e., Nordstrom and Nordstrom Rack, online and in stores), and collaborate with data partners to improve and expand the team’s access to internal data
Lead efforts to develop and deploy robust end-to-end data science products, i.e., work across the product lifecycle from research and discovery to operationalization and production
Work closely with data engineering partners to use and improve our internal Machine Learning Platform infrastructure
Collaborate with and mentor teammates, learning from and sharing your expertise with them
Create resources and opportunities for learning and growth across our broader community of data scientists and data analysts
Skills and experience you have
Exemplary SQL skills, producing repeatable and robust code
Expert understanding of statistics, data analysis, and data visualization
Fluent Python skills and extensive experience with machine learning and data science libraries (e.g., scikit-learn, numpy, pandas, matplotlib, seaborn, etc.)
Experience with software engineering best practices, including story estimation, test-driven development, code review, and version control with git
Experience with Amazon Web Services (AWS) ecosystem or similar and with tools like Docker, Airflow, Kubernetes, or similar
Significant experience with deploying models in production
Passion for problem-solving and track record of machine learning innovation
Relationship-building and clear communication targeted to specific audiences
Commitment to collaboration, regularly presenting progress, insights, and recommendations to stakeholders, and incorporating feedback into design of new models and model improvements
Outstanding technical writing and documenting
Excellent written and verbal communication skills
What your background may look like
5+ years of hands-on data science experience. Retail experience, especially involving inventory and/or supply chain, is a plus
7+ years of experience querying data with SQL
Degree in a quantitative field or equivalent experience. MS or PhD is a plus
A few of our perks
Tremendous opportunity to work on exciting machine learning problems at the heart of Nordstrom’s strategy to be the best fashion retailer
Lightning talks and other opportunities to learn and share with our team of data science and analytics experts
Hackathons
Career advancement opportunities
Comprehensive health coverage, competitive salary, 401(k) match
A supportive, encouraging culture guided by our company values
Nordstrom discount!
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote#LI-EB1We’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. © 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900
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Senior Data Scientist Discovery | Nordstrom |
Job DescriptionJoin a high impact, customer-obsessed data science and analytics team! At Nordstrom, we apply Data Science across a complex and rapidly evolving retail landscape to develop innovative data products, new business processes and improve the customer experience in our stores and online. Our data science teams are composed of interdisciplinary contributors with a broad scope who work in an energizing and collaborative atmosphere.
The Digital Customer Experience - Discovery team is on a mission to reinvent the digital styling experience through the power of data and artificial intelligence. We are working on exciting, cutting edge and impactful opportunities, leveraging computer vision, natural language processing, and the latest open-source methods; creating in-process tools to enhance the stylist shopping experience; and developing analytics solutions that enable the business to make data-driven decisions.
Read this first: Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat to see what skills/experience you are able to bring to this team.
Responsibilities
Collaborate with engineering, product managers and taxonomy partners on a variety of search related projects, this includes product selection, product ranking, query understanding, autocomplete, and personalization.
Effectively plan and communicate with partners, and co-workers to define and align on deliverables, timelines, and responsibilities.
Manage and influence product strategy and execution with data and insights.
Lead development of data solutions to help solve business problems and improve customer experience.
Select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models
Build prototypes, and develop and deploy machine learning algorithms to production.
Identify and design experiments to measure the impact of newly developed models
Influence data science standards and best practices across the center of analytical excellence.
Coach junior team members as needed.
Qualifications
MSc in quantitative field or equivalent experience. PhD is a plus.
5+ years of commercial experience as a Data Scientist.
5+ years of experience with Python and proficiency with machine learning frameworks and libraries.
5+ years of experience with SQL. Experience working in environments such as Presto, Spark, and Hive.
3+ years of experience with search systems (Elasticsearch/Solr).
3+ years of experience with learning-to-rank, and NLP. Deep learning and computer vision is a plus.
3+ years of experience in A/B test design and post-test analysis.
Excellent software engineering practices, including test driven development, code review, and version control with git.
Experience making informed trade-offs that balance quick wins with long-term robust solutions.
A passion for machine learning, problem solving, and innovation. .
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote
#LI-EB1 We’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. © 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900
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Lead Data Analyst Wgu Academy | Western Governors University |
If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. .Current WGU employees should submit an internal application before 8/19/2022 to be considered. Who is WGU Academy?At WGU Academy, we work collaboratively to dramatically impact college and workforce readiness efforts on a large scale. Our primary mission is to develop and deliver new solutions for college and career readiness to tens of thousands, even hundreds of thousands, of individuals and propel them to success in whatever domain they choose.This is a fully benefited, remote position that can be located anywhere in the 48 US States.Why consider us?
Fully remote position where you’ll make a difference in a mission driven environment.
Equipment provided: Choice of Mac or PC laptop
Comprehensive and affordable benefits (including mental health benefits, and generous PTO) plus 403b matches and contributions where we put money into your retirement account, even if you’re not contributing.
75%employee tuition discount available at WGU for yourself, and 50%discount for qualifying family members.
Innovative, fun, and enriching team environment where are you valued, given credit where its due, and recognized for your contributions.
Collaborative and cross functional team, where good communication is prioritized.
What will you be doing?WGU Academy uses a data and research-driven, evidence-based approach to learning success and the organization has a healthy respect for analytics and data in general.As the Lead Data Analyst with WGU Academy you’ll work on real-world problems that identify levels of learner success and most importantly use data to inform the building of interventions that help struggling learners reach their goals. This includes a deep analysis of learner profiles, learner learning patterns, academic and career outcomes, and course and learning resource quality. You’ll also help identify new markets & customers and help guide them to educational success. You’ll answer questions posed by others, but also be expected and encouraged to and answer your own questions. As a thought leader for analytics, you’ll interact with researchers, academic leaders, curriculum design experts, and other data analysts across the organization to continuously analyze and improve course and program performance and learner outcomes. Who will you be helping?Findings about learners and their experiences are used immediately and lead to direct, actionable interventions and changes to help current and future learners succeed. Your data analysis will shape learning experiences for individual learners who have traditionally been underserved in Higher Education. Who are you?You’re inquisitive and have the desire to innovate and test ideas in an environment where iteration is encouraged and expected. You enjoy working at a fast pace on projects that have clear-cut deadline and objectives and follow a 2-3 week sprint cycle. You love working with data and are excited about creating and improving learning experiences for our learners.How is success measured?We’ve built out a training plan so you can familiarize with data, gain a solid understanding of the metrics and status quo before jumping into creating descriptive analysis, building out automated calculations. From here you’ll jump into inferential statistics, and, visualization build outs.Once you’re up to speed with our data and processes, success will be measured against the number of deliverables, the speed of generation, and quality of your findings. Essential Functions and Responsibilities: Working with other analysts and researchers in a sprint fashion, you’ll be expected to expertly handle multiple projects simultaneously, each at different stages of the analytics cycle. You’ll be cleaning data, performing manipulation and analysis, creating reports and dashboards for presentation; attending a handful of meetings, and working on projects that align to interests and key priorities for the organization. There will be opportunity to build out systems, further data refinement, automate jobs, and create automated dashboards that will replace manual processes.
Defines analytic projects in a way that delivers business value to WGU Academy
Identifies needs and creates novel analytic projects (rather than simply responding to requests)
Analyzes and interprets diverse sets of educational data using a variety of statistical methods (e.g., t-tests, regression, natural language processing, thematic analysis, structural equation modeling, Chi-square, factor analysis, hierarchical/multi-level modeling)
Uses SQL, Python, R, or Scala to clean, manipulate, and transform data for analysis
Reports, explains, and presents statistical analyses to the most senior leadership teams using graphs, charts, and tables
Designs and maintains Tableau dashboards
Applies understanding of learning science to develop methods for measuring learning and engagement
Uses understanding of data collection to design and implement new methods of measurement
Stays informed of emerging trends in learning science, learning analytics, and data science
Clearly communicates with users to assess needs and requirements for data products
Pitches value of potential data products using functioning proofs-of-concept
Works across academic colleges and programs to provide valuable data-informed insights on trends of performance metrics
Knowledge, Skill and Abilities
Strong written, oral, presentation, and interpersonal skills, including the ability to explain the significance of data and trends to stakeholders
Ability to manage multiple, competing tasks independently while working in a team environment
Ability to provide mentoring to more junior team members
Work with outside vendors and internal teams to improve data availability and quality
Ability to use SQL, R, Python, or SAS to run descriptive, inferential, multivariate, and other statistical analyses
Ability to create data dashboards and visuals using tools like Tableau and Databricks
Ability to create datasets for analysis & reporting using SQL, Python, R, or Scala.
Ability to explain analysis results to non-technical audience
Ability to manage multiple ongoing data projects
Qualifications:Minimum Qualifications:
Master’s degree in learning science, data analytics, behavioral or cognitive psychology, statistics, or a closely related field
5+ years of experience in quantitative and qualitative data analysis and visualization
1+ years building dynamic, interactive dashboards
3+ years working with relational databases
Preferred Qualifications:Familiarity with Databricks, SalesforceWorking Conditions
Limited travel for team meetings in Salt Lake City
Remote Position
Disclaimers: WGU Academy, Inc is an affiliated non-profit entity of 501c(3) Corporation of Western Governors University This Job Description has been designed to indicate the general nature, essential duties, and responsibilities of work performed by employees within this classification. It does not contain a comprehensive inventory of all duties, responsibilities, and qualifications that are required of the employee to do this job. Duties, responsibilities and activities may change at any time with or without notice. This Job Description does not constitute a contract of employment and the University may exercise its employment-at-will rights at any time.#LI-KM1#LI-RemoteAs an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.
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Data Scientist I Product Analytics | Bold | |
Senior Data Scientist | Cometeer |
Welcome to the future of coffee. Cometeer features the best beans from world-class roasters, brewed better through science, and frozen in a peak-state of coffee deliciousness. Delivered in a tiny recyclable capsule, all you have to do is melt it with hot water (or ice water, or oat milk if you’re fancy). Think pour over quality, pajama convenience.
We’re a technology-driven company, looking to revolutionize the $400+ billion global coffee market. Our new-format coffee capsule – perfected over years of investment and research – delivers the quality of specialty coffee in a uniquely convenient format. Our capsules are shipped straight to your door frozen; all you need to do is peel back the lid, add water or milk, and enjoy (no machine required).
Our coffee has received rave reviews from celebrities (including David Chang, Aaron Paul, and Adam Levine), coffee aficionados, and entrepreneurial leaders alike. We’ve built a 70,000 square foot state-of-the-art production facility in Gloucester, MA that leverages custom-built machines, a proprietary brew science, and novel flash-freeze technology that preserves coffee freshness like never before. We are now beginning to scale our business across multiple channels, from direct-to-consumer to office, retail, wholesale, online delivery, and more.
Our world-class team includes alums from Tesla, Palantir, Oscar Insurance, Blue Bottle, Wayfair, and Apple. We’ve also raised over $100 million in venture capital from leading investors, including D1 Capital, Greycroft, Elephant Ventures, Addition and Avenir.
To learn more about us, check out some of our coverage here and here
The Team
The Data Team at Cometeer exists to help make decisions data-driven. Data is a horizontal team that serves all business units across the company. Cometeer seeks to be data driven at its core and across all business functions. This is a foundational principle that is shared across founders, leadership, and all parts of the organization. The vision is that Cometeer wins in great part due to its ability to leverage data to drive rather than simply measure strategy and execution. The Data Team exists to execute on this vision.
The Role
We are looking for a detail-oriented and analytical deep-thinker to closely partner with non-technical and technical stakeholders. A successful candidate should have a strong quantitative foundation as well as a demonstrated ability to directly own business outcomes end-to-end. You will be one of the first hires on the Data Team, reporting to the Head of Data.
What you’ll do:
Partner with internal teams to leverage data and quantitative methods such as hypothesis testing to enable strategic decision-making and operationalize rapid growth.
Discover, understand, and integrate disparate data sources from every corner of the business, and structure them into clean data models that fuel self-service analytics for internal teams as well as advanced data science.
Partner with the engineering team to shape product roadmap, scoping and improving upstream systems and backend data sources.
What we’re looking for:
You have 5+ years experience in a data science role, using quantitative analysis to solve challenging, real-world problems (background in e-commerce or operations is a plus).
You have a strong quantitative or technical academic background, such as mathematics, computer science, statistics, economics, finance, or physics.
Expert on running SQL in production: you write complex joins and window functions in your sleep; you're experienced in state of the art tools (e.g., GitHub, Fivetran, dbt); and you spearhead best practices (e.g., data unit tests, historization, snapshotting, etc.)
Experience writing statistical models in Python and/or R (e.g., linear regressions or classifiers).
Experience modeling data into logical objects and relations, with an eye towards broad accessibility across different skill levels, using modern tools such as Looker or Tableau.
Track record of building strong relationships with cross-functional partners and executives at multiple levels of technical proficiency.
Cometeer is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.
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Application Data Scientist Public Sector | Symphonyai |
The Role:
SymphonyAI Public Sector is building the leading enterprise AI SaaS solutions to transform the public sector, delivering insights and predictive analytics for large data sets, helping to reduce costs, control waste, and provide efficiencies. As an application data scientist on the public sector team you will be working with some of the largest/most advanced and innovative federal agencies and will develop solutions for complex problems working with advanced machine learning at scale.
Responsibilities:
Directly interact with Public Sector customers to understand business problems and data
Develop models and algorithms to solve complex problems
Become proficient user and advocate of SymphonyAI’s AI/ML platform and products
Serve as a technical expert, assisting leadership during project evaluations, pilots, and delivery
Make research and development contributions to our core product offerings
Interact and collaborate with software engineers, data scientist, and product managers to define new capabilities and solutions
Mentor and coach data scientists as we grow the team
Requirements:
US Citizenship
MS or Ph.D. in Computer Science, Engineering, Statistics, or similar fields of study
2+ years hands on experience delivering machine learning applications to enterprise clients with demonstrable results
Solid understanding of existing statistical and machine learning techniques
Ability to drive projects, working independently or as part of a larger team
Excellent communication and presentation skills
Expert Python programing skills
Preferred:
Experience with deep learning, natural language processing, or reinforcement learning
Knowledge of advanced topics including Graph Deep Learning and Topological Data Analysis
Who We Are
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. SymphonyAI businesses have many leading enterprises as clients in each of these industries. Since its founding in 2017, SymphonyAI has grown to 2,000 talented leaders, data scientists, and other professionals. SymphonyAI is an SAIGroup company, backed by a $1 billion commitment from successful entrepreneur and philanthropist Dr. Romesh Wadhwani.
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Data Scientist | Huge Inc |
This role is open to remote within the posted state.
Data Scientist
Huge is looking for a Data Scientist to join our team!
Job description.
As a Data Scientist you will be a key contributor to scaling our data science capability, working with data science team members to extend & leverage machine learning solutions. On a regular basis, you will collaborate across disciplinary user experience teams at Huge and serve as a guide to answer questions, offer insights, and bring structure to data so that it serves to inform decisions that will impact clients’ business.
What you’ll be doing.
Most importantly, as a Data Scientist, you will continuously be asked to set a positive example and champion the data science capability. In order to succeed in this role, you will need to be hands-on, comfortable starting from zero and quickly ramping up when faced with specific business challenges, feel comfortable presenting data science capabilities that can easily be understood and leveraged across disciplinary teams at Huge and by clients. Collaboration with internal and external teams is fundamental to ensure the delivery of specific client solutions. You will also be hands-on building solutions in Python, establishing data models for machine learning, and looking for opportunities to continue to push the envelope.
What we’d like to see.
A minimum of 2 years of experience in a relevant industry that uses data science capabilities.
An undergraduate degree in Science, Technology, Engineering, or Math.
Proficient in Python and associated data science packages.
R Programming
Experience working on client engagements and across distributed team's end-to-end, from development to implementation of data science solutions.
Ability to take disparate sources of data (structured & unstructured) and develop methods that produce models and algorithms that handle tasks, parameters, or optimizations to generate an evaluation output.
Proven ability to deliver solutions such as regression analysis for prediction, classification for sentiment analysis, clustering and retrieval of content, matrix factorization & dimensionality reduction for recommendations, and utilization of deep learning.
Knowledge of either the GCP or AWS CLI
About Huge.
Huge is a global experience agency made up of creatives, designers, technologists, strategists, and data scientists. We help companies elevate the human experience by creating unified brand experiences that people love. We work with clients such as Google, McDonald’s, FCA, Brooks Running, P&G, and others, who are as committed to shaping culture and defining the future as we are. Headquartered in Brooklyn, we currently have more than 1,200 employees working across 13 offices in North America, Latin America, Europe, and Asia.
Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.
#LI-POST #LI-Remote
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Associate Data Scientist | Kin |
So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry by building our product suite from the ground up. As our Associate Data Scientist, you will partner cross-functionally with the Business Intelligence and Data Engineering teams to build scalable analytical products that drive business value. These products could range from predictive models to pipelines to ingest, clean, and analyze data from multiple sources. We want someone who is not only passionate about Data Science, but is also interested in the context around the problem and implementing the solution that is best for the business.
A day in the life could include:
Building predictive models and perform analysis to optimize Kin’s customer experience and marketing in order to continue profitable growth
Build pipelines to ingest data and create features to be used in models and analysis
Act as a strategic advisor to our business partners; offering not only support in analytics and models but insights that are backed by both data and business expertise
Work cross functionally with Data Engineering, Business Intelligence and Analytics Engineer to provide full product solutions
Assist with the design and architecture of our ML Ops infrastructure
Assist with data vendor analysis and integration
Use analytics tools (SQL, Looker etc.) to monitor the performance of existing models in production
I’ve got the skills… but do I have the necessary ones?
Bachelor’s degree in Machine Learning, Statistics, Mathematics, Computer Science, or a related field
1-2+ years of experience in Data Science, Business Analytics, Data Engineering, or Analytics Engineering
Must have a mathematics or statistics background
Experience in programming in Python and SQL in a professional setting
Excellent interpersonal skills
Insurance experience is highly preferred
Interest or experience in highly regulated and/or startup environment(s)
Passion for data-driven storytelling
Oh, and don’t worry, we’ve got you covered!
Medical, Dental and Vision Insurance
Flexible PTO policy
Very generous equity options and 401K
Parental Leave
Continuing education and professional development
Disability and Life Insurance
The excitement of joining a high-growth Insurtech company and seeing your work make an impact
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Data Scientist Intern | Figma |
The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As an intern on our team, you will have an opportunity to apply your skills on technical challenges that will have a real impact on our business and product. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences.
*Summer, 2023
What you’ll do at Figma:
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Build models to understand user behavior and predict growth
Some projects you could work on:
Evaluation of different online experimentation methodologies and how they may improve velocity and accuracy of A/B tests at Figma
Investigating user behaviors and running experiments to drive improvements on a brand new product offering
Recommend opportunities for growth and optimization of our core product through researching KPIs and/or areas of the business funnel
We'd love to hear from you if you have:
A strong baseline in statistics, Computer Science, Mathematics, Economics or other quantitative field
Proficiency with basic SQL
Experience with R, Python, or similar scripting language
Firm knowledge around statistical methods and models
Research experience in the natural sciences, social sciences, or behavioral sciences
Experience working with creative tools
A self-starting approach along with strong communication and collaboration skills
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team
Inside Figma: my time as a new grad
Inside Figma: a Q&A with our 2021 interns and new grads
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion
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Data Scientist Early Career | Figma |
The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences.
What you’ll do at Figma:
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Communicate and document data logging and requirements
Build models to understand user behavior and predict growth
Provide thoughtful feedback to others on the team
In your first few months, you'll:
Work with an onboarding buddy to make your first edits to our data tables and dashboards
Start to build deep context and expertise in Figma's data and product
Deliver your first product analysis
We'd love to hear from you if you have:
A strong baseline in statistics, Computer Science, Mathematics, Economics or other quantitative field
Experience with R, Python, or similar scripting language
Firm knowledge around statistical methods and models
A self-starting approach along with strong communication and collaboration skills
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team
Inside Figma: my time as a new grad
Inside Figma: a Q&A with our 2021 interns and new grads
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion
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Senior Data Scientist Climate Risk And Community Resilience | Urbanfootprint |
The role
As the Senior Data Scientist leading Climate Risk and Community Resilience, you will be driving the evolution of UrbanFootprint’s risk-based data products including Grid Resilience Insights and Municipal Bonds Insights. These products are designed to help asset managers and financial institutions make investment decisions by taking into account climate and environmental hazard risk, community impacts and vulnerability, and physical infrastructure and the built environment. These data products leverage our parcel-level map of all properties across the US to facilitate decision-making for scales ranging from parcels and neighborhoods to states and the entire US.
As a product-minded and pragmatic data science leader, you know how to appropriately scope projects to ensure we are delivering what customers need today, and have ideas for how we can improve in the future. You are autonomous, not independent; you work collaboratively with business partners to understand the ‘what’ and ‘why’ and take full ownership of figuring out ‘how’ to meet those needs. You proactively communicate progress and are accountable for the validity and accuracy of all models produced for your data products. You are a hands-on leader, able to build models and provide technical support and mentorship to junior data scientists.
What you'll do:
Partner with product managers to develop and execute on a technical roadmap for our Climate Risk and Resilience data products.
Develop novel models and algorithms to help our customers face society’s pressing challenges of climate vulnerability and social inequity across multiple verticals.
Identify, normalize, and analyze various environmental and climate hazard datasets to assess where risks are the highest.
Partner with solutions analysts, customer success and product managers to help turn customers problems into actionable solutions.
Help to define and communicate a quantified understanding of risk across multiple products.
Own data science problems end-to-end, from ideation, exploratory data analysis and prototype, to collaborating with data engineers and machine learning engineers to ship models to production.
Your background most likely includes:
Work experience equivalent to a Master’s degree or higher in Statistics, Data Science, or a branch of Environmental Sciences/GeoSciences, with experience working with geospatial (raster and vector) or spatiotemporal data
Fluency in Python and Python’s scientific programming stack such as pandas, GeoPandas, rasterio, xarray, sklearn, pytorch, fastai, statsmodels and various visualization packages including map-based visualizations.
Practical experience with a wide variety of statistical and machine learning models such as statistical and machine learning regression models, geostatistics, downscaling and interpolation.
Experience developing models in an iterative, fast-paced environment.
Excellent communication, collaboration, and documentation skills.
Bonus qualifications:
Master’s degree or higher in Statistics, Data Science, Computer Science, Civil or Environmental Engineering, GeoSciences, or Urban Planning (with an emphasis on geospatial, spatiotemporal or machine learning modeling), or other similar technical fields.
Experience working with publicly available climate and hazard data, including downscaled CMIP5 datasets (e.g., LOCA/MACA), NOAA flood hazard layers, and others.
Experience developing quantitative impact estimates of climate change or extreme weather events such as infrastructure damage estimates, economic impacts and/or population impacts.
Deep experience with and knowledge of geospatial modeling and analysis including familiarity with raster rescaling, joining rasters to vector features, and spatiotemporal modeling.
Experience as a full-stack data scientist, owning data pipelines, model development and production model implementation.
Familiarity with large-scale data analysis frameworks including SQL, Apache Beam, Dask or PySpark.
Passion for climate resilience, equity, urban planning, and leveraging data to facilitate a more equitable and resilient society.
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Health Scientist Data Science | United States Government |
COVID-19 Vaccination Requirement
The COVID-19 vaccination requirement for federal employees pursuant to Executive Order 14043 does not currently apply. Some jobs, however, may be subject to agency- or job-specific vaccination requirements, so please review the job announcement for details. Click here for more information.
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Summary
The Division of Data Integration, Modeling, and Analytics (DIMA) is NIGMS' central nexus for all data-driven discussions, decisions, and actions. DIMA serves the Institute's Director, Deputy Director, Senior Staff, Scientific Divisions, and Program Staff by providing robust, timely, accurate, and contextually appropriate data and information that aid in the efficient administration of all NIGMS programs and in the proper stewardship of taxpayer resources.
Learn more about this agency
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This job is open to
Career transition (CTAP, ICTAP, RPL)
Federal employees who meet the definition of a "surplus" or "displaced" employee.
Family of overseas employees
Family members of a federal employee or uniformed service member who is or was, working overseas.
Federal employees - Competitive service
Current or former competitive service federal employees.
Individuals with disabilities
Land & base management
Certain current or former term or temporary federal employees of a land or base management agency.
Military spouses
Peace Corps & AmeriCorps Vista
Special authorities
Individuals eligible under a special authority not listed above, but defined in the federal hiring regulations.
Veterans
Clarification from the agency
You must be a current or former federal employee eligible to apply under merit promotion procedures or otherwise be eligible as a status applicant (e.g. Veterans Employment Opportunity Act) OR be an individual who is eligible through an OPM interchange agreement or for a non-competitive appointment.
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Duties
NIGMS-funded scientists investigate how living systems work at a range of levels, from individual molecules and cells to tissues, organs, research organisms, humans, and whole populations. Additionally, to ensure the vitality and continued productivity of the research enterprise, NIGMS provides leadership in training the next generation of scientists, in enhancing the diversity of the scientific workforce, and in developing research capacity throughout the country.
A Health Scientist (Data Science) will be expected to perform the following duties:
Identify strategies and implement approaches to understand and respond to the evolving research data needs of NIGMS programs, including leading and developing special projects of interest across NIH and HHS.
Apply analytical, machine learning, visualization and reporting tools to data sets in order to further scientific understanding and derive knowledge from data.
Serve as a member of committees or work groups at the agency or department level as well as on interdepartmental groups. In this capacity, the incumbent provides professional expertise as well as representing NIGMS on matters relating to policy and interpretation of resource requirements for data science and health research.
Evaluate program initiatives to determine whether strategic goals are being accomplished and implement course correction when appropriate.
Leads applied data science and health research strategies to optimize data for evidence-based management of NIGMS scientific training, scientific workforce development, and scientific diversity programs. Integrate scientific training data to the Institute-wide analytical dashboard.
Communicate new data science findings with the greater scientific community through publications in scientific and peer-reviewed journals as well as paper and poster presentations in conferences
Develops and leads collaborations across HHS, NIH, and other organizations to align NIGMS data-driven activities and health research with external efforts to improve methods and approaches for optimizing utilization of data. Represents NIGMS on appropriate HHS, NIH, interagency committees, working groups, and conferences in developing, recommending and implementing data science methods and tools. Identifies strategies and implementation approaches to understand and respond to the evolving research data needs of NIGMS staff.
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Requirements
Conditions of Employment
U.S. Citizenship requirement or proof of being a U.S. National must be met by closing date.
Employment is subject to the successful completion of the pre-appointment process (i.e., background investigation, verification of qualifications and job requirements, completion of onboarding forms, submission of required documents, etc.)
Males born after December 31, 1959 must be registered with the Selective Service.
Applicants must meet all qualifications requirements within thirty (30) calendar days of the closing date of this announcement, including time in grade.
Position requires Education , please submit transcripts
If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 annually.
Qualifications
In order to qualify for a Health Scientist (Data Science), GS-0601-14, position you must have successfully completed a full 4-year course of study in an accredited college or university leading to a Bachelor's degree or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position. (This degree must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the degree was obtained).
In addition, to qualify for an Health Scientist (Data Science), position at the GS-14 level, you must possess at least one year of qualifying experience equivalent to at least the GS-13 level in the Federal service obtained in either the private or public sector, which includes developing organizational data-related strategies and procedures by partnering with the relevant stakeholders (e.g., researchers, leadership); providing oversight and guidance on the implementation and integration of state-of-the-art technologies and solutions for a scientific or health research organization; supporting scientific data and knowledge management systems by providing guidance on administration and management functions; providing guidance on creating and modifying scientific applications using programming languages (e.g., R, Python, SQL, Scala, Java, C/C++, Julia); presenting findings to senior-level leadership through data visualization techniques using programming or software packages.
You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.
Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.
Preview assessment questionnaire before you apply:https://apply.usastaffing.gov/ViewQuestionnaire/11478293
Education
This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.
Additional information
If you are unable to apply online or need to fax a document you do not have in electronic form, view the following link for information regarding an Alternate Application.
"This position is eligible for non-local remote work, a position designation where little to no onsite presence is required (e.g., once or twice annually). You may work anywhere in the U.S., including any of the territories. Worksites outside of the U.S. are prohibited. Your pay is determined by the geographically defined pay locality applicable to your approved worksite (e.g., home residence). Reporting to an NIH location may also be required during the onboarding process. Visit NIH's Remote Work page for more information and requirements."
Federal agencies may request information regarding the vaccination status of selected applicants for the purposes of implementing other workplace safety protocols, such as protocols related to masking, physical distancing, testing, travel, and quarantine. Employees providing healthcare or services in support of healthcare (Healthcare Workforce) may be required to receive a COVID-19 vaccine because they are expected to perform duties that put them in contact or potential contact with patients. We may request COVID-19 vaccination, and other vaccination documentation from Healthcare Workforce personnel at any point during the onboarding process or at any time during your employment with NIH.
This position is designated as a "non-emergency/non-teleworker" position and the selected candidate will be considered a "non-emergency/non-teleworker" employee.
A one-year probationary period may be required upon selection/placement.
If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency. This information is required annually. For information, visit the NIH Ethics website: https://ethics.od.nih.gov/topics/fd.html.
PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should apply online to this announcement to receive consideration
We may make additional selections for similar positions within the commuting area(s) of the locations listed through this vacancy announcement. By applying, you agree to have your application shared with any interested selecting official(s). Clearance of CTAP/ICTAP will be applied for similar positions.
The National Institutes of Health participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their Social Security numbers.
The NIH maintains a tobacco free work environment and campus.
Must be able to perform the essential duties of the position, with or without reasonable accommodation.
Visit our Applicant FAQs page for helpful information on the application process.
Visit our Total Compensation page for a detailed look into the benefits, awards, leave, retirement and other incentives employees may receive as part of a rewarding work environment.
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Benefits
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS.
To determine your qualifications and referral status, we may review your resume and supporting documentation and compare it against your responses to the vacancy questionnaire. Ensure you support your self-ratings by the information you provide in your application. We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as having knowledge of your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin prior to receiving an offer. To be considered well qualified for the purposes of the Career Transition Assistance Program (CTAP) and the Interagency Career Transition Assistance Program (ICTAP), you must substantively exceed the basic qualifications by scoring at least an 85 on the assessment and meet all eligibility, physical, medical, suitability, and all other requirements.
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Required Documents
RESUME:
Your resume must thoroughly describe how your skills and experiences align to the criteria defined in the "Qualifications" section of this announcement and it must support your responses to the assessment questionnaire. We cannot assume you have performed the necessary experience required for this position regardless of your employment history or academic career. To ensure all of the essential information is in your resume, we encourage you to use the USAJOBS online Resume Builder. If you choose to use your own resume, you must ensure it contains all of the required information and you organize it so we can associate the following information for each experience/position:
Job title
Name of employer
Beginning and ending dates of employment (month/day/year format)
Hours worked per week. We will assume full-time unless otherwise stated. We will prorate part-time employment in crediting experience.
Detailed description of job duties, accomplishments, related skills, and responsibilities to include any supervisory/managerial responsibilities and number of staff supervised (if applicable)
Series and grade or equivalent (if a federal position)
If the position has an education requirement or you are qualifying on the basis of education, you need to list your education history including the type of degree and your major of study. If the position requires a certain number of credit hours, you are strongly encouraged to list the relevant courses in your resume. Do not include a photograph or video of yourself, or any sensitive information (age, date of birth, marital status, protected health information, religious affiliation, social security number, etc.) on your resume or cover letter. We will not access web pages linked on your resume or cover letter to determine your qualifications.
For resume writing guidance, please visit the following resources:NIH Jobs website, USAJOBS Resource Center, and the USAJOBS Resume Writing Video Tutorial.
ASSESSMENT QUESTIONNAIRE:
You must submit a completed assessment questionnaire.
ELIGIBILITY/PREFERENCE DOCUMENTATION:
You must submit the following documentation, if applicable to you AND respond accordingly to the associated question on the online questionnaire. If you do not provide the required information, we will assume you are not eligible or you do not wish to be considered for any preference or eligibility.
SF-50 - A copy of your most recent competitive career or career conditional SF-50 that shows the effective date of your latest position and the full performance level. You may obtain a copy of your SF-50 from your human resources office or, if you are an HHS employee, from your eOPF. If you separated from Federal Government employment, you may obtain a copy of your SF-50 via the Federal Records Center, National Archives and Records Administration.
Veteran Documentation: (DD-214, VA Disability Letter, etc.). Reference Standard Form 15 (SF-15) for required documentation if you are a 10-point preference eligible. Submission of SF-15 is not required, unless you have derived preference (XP) as described in questions 7, 8, or 9 on the SF-15. In those cases, you must submit a completed SF-15 and the required documentation. For 5 point preference eligibles, you must submit your DD-214 (if separated) or any written documentation from the armed forces that certifies you are expected to be discharged or released from active duty service in the armed forces under honorable conditions not later than 120 days after the date the certification is submitted with your application package.
Schedule A (Disability Appointment): Documentation of eligibility for employment under Schedule A can be obtained from a licensed medical professional (e.g., a physician or other medical professional certified by a state, the District of Columbia, or a U.S. territory to practice medicine); a licensed vocational rehabilitation specialist (i.e., state or private); or any Federal agency, state agency, or agency of the District of Columbia or a U.S. territory that issues or provides disability benefits. The letter must be printed on a medical professional's letterhead and signed. Please note the Schedule A hiring authority neither guarantees employment, nor gives an individual preference in the hiring process.
Documentation to support any other noncompetitive or OPM interchange agreement eligibility. Reference the Eligibility section of the questionnaire for required documents and information.
Visit our sites on Career Transition Assistance Program (CTAP)/Interagency Career Transition Assistance Program (ICTAP) for more information and required documentation.
Please do not submit any other supplementary documentation that is not requested of you. To protect your personal information, we will only send your resume and cover letter to the selecting official or hiring manager.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from
schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
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How to Apply
To apply for this position, please read and follow all instructions in this announcement, complete the online application, and submit the documentation specified in the "Required Documents" section. Your complete application package must be submitted by 11:59 PM Eastern Time (ET) on 08/19/2022 to receive consideration.
To begin, click Apply to access the online application. You will need to be logged into your USAJOBS account to apply.
Follow the prompts to select your resume and/or other supporting documents to be included with your application package. See the "Required Documents" section for any additional forms and/or supplemental materials required.
Read all Eligibility questions and respond accordingly to any Eligibility you wish to claim. You will only be considered for those Eligibility questions (Status Applicant, Reinstatement, Schedule A, etc.) you respond in the affirmative to, regardless of what documentation you submit. We cannot assume you intended to respond differently to a question based on other information in your application package.
Complete the assessment questionnaire. Applicants are asked all questions regardless of their consideration preferences. We will only consider you for the grades, series, locations, specialties, and other considerations that you self-identify as being qualified for or interested in. Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/11478293
Verify all required documentation is included in your application package, review your responses to the assessment questionnaire for accuracy, and then submit your application.
In addition to the required documents,we encourage you to submit a cover letter, copy of your transcripts, and any applicable certifications or licenses. Even though this information is not required at the time of application, we may request this information later.
We cannot assume responsibility or grant extensions for personal issues (e.g., troubles navigating the application process, loss of internet, not understanding a question) when applying to our announcements. For technical difficulties, contact HR Systems Support between 8:00 AM and 4:30 PM ET Monday through Friday [email protected].
If you need any other accommodation or assistance with applying, please contact Synthia Barnette at [email protected]. Requests for reasonable accommodations must be made before the announcement closing date.
NIH's EEO and Diversity and Inclusion Policy Statement
Visit the NIH's Office of Equity, Diversity, and Inclusion site for information on NIH's EEO program, Reasonable accommodation procedures, laws, policy statements, and the operation of the EEO complaint process.
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Agency contact information
Synthia Barnette
Phone
3018271296
Email
[email protected]
Address
National Institutes of Health
6701 Rockledge Dr
Bethesda, MD 20892
US
Learn more about this agency
Next steps
Once you submit your application package, you will receive an acknowledgement email. You will be notified of the status of your applications via email. In addition, you can track the progress of your application package through your USAJOBS account.
At the discretion of the agency, you may be contacted via phone or email for an interview or to provide additional information up to several months from the closing date of the announcement. Please ensure you have provided accurate contact information. To remain in consideration, you must respond in a timely manner to our correspondence and requests for documentation or information throughout the hiring process.
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Fair & Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
Equal Employment Opportunity (EEO) Policy
Reasonable accommodation policy
Financial suitability
Selective Service
New employee probationary period
Signature and false statements
Privacy Act
Social security number request
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Data Scientist Department Of Veterans Affairs | United States Government |
Qualifications
BASIC EDUCATION REQUIREMENT: Must possess a bachelor's degree in mathematics, statistics, computer science, data science or a field of study directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (Transcripts Required - Copies of Degrees/Diplomas or course listings are not adequate information)
OR
Combination of education and experience: Must possess a combination of education and experience of: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. (Transcripts Required - copies of degrees/diplomas or course listings are not adequate information.)
AND
SPECIALIZED EXPERIENCE REQUIREMENT: In addition to meeting the Basic Education Requirement, you must also possess specialized experience as indicated below in order to qualify for this position.
Specialized Experience: Must possess one (1) year of specialized experience equipped with the knowledge, skills and abilities to successfully perform the duties of the Data Scientist position. This experience must have been equivalent to at least the GS-13 grade level in the Federal service. Specialized experience includes: working experience with the responsibility for the overall development, management, control, coordination, storage, retrieval and execution of data acquisition requirements and the efforts of other agency professionals and contractors in solving complex and far-reaching data management issues and problems for a wide range of systems, applications, and customers with issues that include data interface and storage, and require application of data management principles, procedures, and tools such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes; possessing expertise in and management of end-to-end data processes in the data life cycle including experience with the use of data elements; storage of data elements (data model) and data quality methods, programming, statistics, machine learning, and data visualization; conducting observational analysis using software and/or programming languages such as R, Python, or SAS to explore/group data, test hypotheses, predict outcomes, and inform decisions. (This experience must be documented in your resume.)
You will be rated on the following Competencies as part of the assessment questionnaire for this position:
Analytical ThinkingAttention to DetailCommunicationComputer LanguagesData Management
IMPORTANT: A full year of work is considered to be 35-40 hours of work per week. All experience listed on your resume must include the month and year start/end dates. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website athttps://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
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Data Scientist Department Of Energy | United States Government |
COVID-19 Vaccination Requirement
The COVID-19 vaccination requirement for federal employees pursuant to Executive Order 14043 does not currently apply. Some jobs, however, may be subject to agency- or job-specific vaccination requirements, so please review the job announcement for details. Click here for more information.
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Summary
DOE's Clean Energy Corps is made up of the staff from more than a dozen offices across DOE. As vacancies become available, applicants may be required to go through the DOE Clean Energy Corps hiring pipeline where you may be evaluated based on competencies through a core competency /technical interview(s). You are strongly encouraged to express interest through theClean Energy Corps Applicant Portal for consideration. Failure to do so may result in loss of consideration for BIL positions.
Learn more about this agency
Help
This job is open to
The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Clarification from the agency
U.S. Citizens- This direct hire public notice is to gather applications that may or may not result in a referral or selection.
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Duties
This series covers positions managing, supervising, leading, and/or performing administrative and management work.
Vacancies filled under this public notice may have varying levels of promotion potential and supervisory level, if any.
Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule.
As a Data Scientist you may:
Develops and oversees computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
Designs and oversees data modeling processes, create algorithms and predictive models to extract data.
Develops acquisition data analytics budget to implement strategy, advocates and explains budget goals to DOE, interagency, OMB, and Legislative Branch officials.
Research and development of project management for statistical data analytics to evaluate, design and develop analytical procedures and processes.
Computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
Presents results to the scientific community at professional meetings and conferences.
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Requirements
Conditions of Employment
Must be a U.S. Citizen or National.
This employer participates in the e-Verify program.
Males born after 12/31/1959 must be registered for Selective Service.
Subject to satisfactory security and suitability requirements.
May be required to successfully complete a probationary period.
Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule. Pay will vary by geographic location.
The vacancies filled through these appointments have varying levels of background investigative requirements, up to a Top Secret DOE "Q" clearance.
These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58).
Qualifications
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-07: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-05 grade level in the Federal Service. Specialized experience for this position includes:
Participating in analyzing data modeling concepts; AND
Reviewing data for trends from multiple systems.
OR EDUCATION: One full year of graduate level education.
OR Superior Academic Achievement: Based on a bachelor's degree that is demonstrated through class standing (upper 1/3 of class); grade point average (3.0/4.0 overall or 3.5/4.0 in major), or election to membership in a qualifying national scholastic honor society.
OR COMBINATION: You may qualify on a combination of education and experience, the total percentage of experience at the required grade level compared to the specialized experience requirement, as well as the percentage of completed education compared to the educational requirement must equal at least 100 percent.
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-07 grade level in the Federal Service. Specialized experience for this position includes:
Analyzing and interpreting data modeling, algorithms, and coding data requirements.; AND
Reviewing, analyzing, and providing information from multiple systems to prepare data reports.
OR EDUCATION: Master's or equivalent graduate degree or two (2) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.
OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 18 semester hours (27 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-11: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes:
Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
Reviewing, analyzing, and providing information from multiple systems to prepare data reports; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.
OR EDUCATION: Ph.D. or equivalent doctoral degree or three (3) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.
OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-12: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal Service. Specialized experience for this position includes:
Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation, AND
Applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods.
NOTE: There is no substitution of education for specialized experience at the GS-12 level.
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal Service. Specialized experience for this position includes:
Designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation
NOTE: There is no substitution of education for specialized experience at the GS-13 level.
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal Service. Specialized experience for this position includes:
Designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
Identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership.
NOTE: There is no substitution of education for specialized experience at the GS-14 level.
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in the Federal Service. Specialized experience for this position includes:
Evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; AND
Leading or supervising a team of data analysts that research, design, and development data science techniques (such as machine learning, natural language processing, robotics process automation, and artificial intelligence); AND
Planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program offices.
NOTE: There is no substitution of education for specialized experience at the GS-15 level.
"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
OPM Qualification Standards for the GS-1560 series can be found at the following website: Data Science Series, 1560, OPM
CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.
This public notice may be used to fill multiple positions as needed; therefore, applicants must meet the qualifications at the time the applications are reviewed.
Education
All grades for the 1560 series have a positive education requirement that must be met.
Basic Education Requirement
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Education must be obtained from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, seethe Department of Education website.
Transcripts must be provided.
Additional information
The U.S. Department of Energy fosters a diverse and inclusive workplace and is an Equal Opportunity Employer.
Your position may be eligible for workplace flexibilities which may include remote work or telework options, and/or flexible work scheduling. These flexibilities may be requested in accordance with the DOE Workplace Flexibilities policy.
This job opportunity announcement may be used to fill additional similar vacancies across DOE.
For general information on government-wide Telework polices visit: www.telework.gov
Status and Non-Status applicants from outside DOE selected under this authority are required to serve a mandatory one (1) year probationary period. A DOE career status employee selected for this position may be required to serve a new one (1) year probationary period, pursuant to 5 CFR 315.802.
If you believe that you are eligible for the Interagency Career Transition Assistance Program (ICTAP), please visit the OPM ICTAP/CTAP website for more information. In order to be considered under the ICTAP program, your application must score within the pre-established "well qualified" category as stated in the Qualifications section.
This public notice is to gather applications that may or may not result in a referral or selection.
More than one selection may be made under this hiring authority.
Some positions may require completion of a probationary period of up to 1 (one) year.
Many positions require successful completion of a background investigation.
Positions may be filled at varying levels of leadership, ie Team Lead, Manager, Supervisor.
Supervisory positions may require a 1-year probationary period, if not yet completed.
New employees to the Department of Energy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit www.dhs.gov/E-Verify
Veterans and persons with disabilities are encouraged to apply. For more information, please visit the links at the bottom of this page or visit the FedsHireVets website.
All males born after December 31st 1959 must abide by laws regarding Selective Service registration. To learn more about this law, visit the Selective Service web page, Who Must Register. If you are not registered and don't have an approved exemption, you will not be eligible for employment with the Federal government.
Relocation or Recruitment Incentive may be authorized.
This position may be 100% remote.
EEO Policy: https://help.usajobs.gov/index.php/EEO_Policy_Statement
Reasonable Accommodation Policy: https://help.usajobs.gov/index.php/Reasonable_Accommodation_Policy_Statement
Veterans Information: https://help.usajobs.gov/index.php/Veterans_Information
Selective Service Registration: http://www.sss.gov/
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Benefits
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
You will be evaluated for this job based on how well you meet the qualifications above.
This position is announced under a Direct Hire Authority (DHA) forData Science positions in the GS- 1560 series. Under this Direct-Hire authority, applicants are required to meet minimum qualification requirements at the grade level(s) of interest. Veteran's Preference, Schedule A, Category Rating, and other methods of consideration DO NOT APPLY under Direct-Hire Authority regulations.
Appointments made under this authority will be processed as new appointments to the Civil Service. Current Civil Service employees would, therefore, be given new appointments to the Civil Service. Current Federal employees may be required to serve a new probationary period (5 CFR 315.802(b).
If your resume is incomplete or does not support the responses you provided in your online questionnaire, or if you fail to submit all required documentation before the vacancy closes, you may be rated 'ineligible', 'not qualified', or your score may be adjusted accordingly.
Successful candidates will possess the following competencies (knowledge, skills, abilities and other characteristics):
Data ManagementDatabase AdministrationReasoningResearchStamina
You must meet all qualifications and eligibility requirements by the closing date (12/31/2022) of this announcement.
To preview the Assessment Questionnaire, clickhttps://apply.usastaffing.gov/ViewQuestionnaire/11612791.
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Required Documents
To apply for this position, you MUST provide a complete application package which includes:
Your RESUME showing all relevant work experience (paid and unpaid) including: duties performed; full name and address of the each employer; start and end dates (month/day/year); work schedule (part-time, full-time, number of hours if intermittent); salary; and any completed education and training (program title, subject area, number of hours completed, and completion date).
Cover Letter, optional, expressing additional information not covered in your resume.
Transcripts, if specific educational requirements are indicated in this job announcement. Unofficial transcripts or any report listing institution, course title, credits earned (semester or quarter hour) and final grade is acceptable. It is your responsibility to provide adequate proof that you meet the educational requirements.
Veterans' Preference documentation,if applicable, DD-214 Member Copy 4 showing type of discharge/character of service; current active duty members- certification of expected discharge or release from active duty under honorable conditions dated within 120 days; SF-15 Form and related documentation; VA letter. For more information visit the USAJOBS Help Center & OPM CHCOC website for VOW information.
Career Transition Assistance Program/Interagency Career Transition Assistance Program documentation, if applicable(e.g., Certification of Expected Separation, Reduction-In-Force Separation Notice, or Notice of Proposed Removal; SF-50 that documents the RIF separation action; and most recent performance appraisal.) For more information see the OPM Guide to Career Transition.
Failure to submit any of the above mentioned required documents may result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from
schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
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How to Apply
Please read the entire announcement and all the instructions before you begin an application. To apply for this position, you must complete the initial online application, to include submission of the required documentation specified in the Required Documents section. A complete application package must be submitted by 11:59 PM (EST) on the announcement closing date to receive consideration.
The application process is as follows:
You must have a login.gov account to sign into USAJOBS: https://www.usajobs.gov/Help/how-to/account/.
To begin the application process in USAJOBS, click the Apply Online button.
Answer the questions presented in the application and attach all required and supporting documentation.
You must click the Submit Application button prior to 11:59 pm (ET) on the announcement closing date.
In addition to applying to this Job Opportunity Announcement, interested candidates are encouraged to express interest via DOE's Applicant Portal. The Applicant Portal allows candidates to align their talents with their passion by indicating specific areas of interest and allow hiring managers throughout the agency to search and review candidate resumes simultaneously to find the best fit for YOU in DOE. Failure to do so may result in loss of consideration for BIL positions. The Applicant Portal allows those interested to align their talents with their passion by indicating specific areas of interest.
You may update your application, including supporting documentation, at any time during the announcement open period by returning to your USAJOBS account, select Update Application:https://my.usajobs.gov/Account/Login. This option will no longer be available once the announcement has closed.
To verify the status of your application, during and after the announcement open period, log into your USAJOBS account; applications will appear on the Welcome screen. The Application Status will appear along with the date your application was last updated. For information on what each application status means, visit:https://www.usajobs.gov/Help/how-to/application/status/.
If you need help with login.gov or USAJOBS (e.g., account access, Resume Builder) visit the USAJOBS Help Center:https://www.usajobs.gov/Help/
If you experience difficulty applying on USAJOBS, after clicking the Apply Online button, or you are experiencing a significant hardship hindering your ability to apply online, the Agency Contact listed in the announcement can assist you during normal business hours. If you receive any system error messages, take screenshots if possible, to aid technical support.
These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58). This serves as a public notice for the use of the Direct Hire Authority in accordance with 5 U.S.C. 3327 and 5 CFR 330. Under this recruitment procedure, applications will be accepted for each location/ installation identified.There may or may not be actual/projected vacancies at the time of your application.
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Agency contact information
DHA Questions
Phone
000-000-0000
Email
[email protected]
Address
Office of Environment, Health, Safety, and Security
P.O. Box 5088
Oak Ridge, TN 37831
US
Learn more about this agency
Next steps
Once your online application is submitted you will receive a confirmation notification by email. The status of your application will be updated in USAJOBS as it is evaluated.
You can check the status by logging into USAJOBS. You may also sign up to receive automatic emails anytime the status of your application changes by logging into your USAJobs Account and editing the Notification Settings.
You will be contacted directly if an interview is required.
A Recruitment Incentive May Be Authorized for a newly selected employee when appointed to a permanent, temporary, or term position. A Federal employee who is transferring to the Department of Energy from another Federal agency and who does not meet the conditions under 5 CFR §575.102 is not eligible for a recruitment incentive.
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Fair & Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
Equal Employment Opportunity (EEO) Policy
Reasonable accommodation policy
Financial suitability
Selective Service
New employee probationary period
Signature and false statements
Privacy Act
Social security number request
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Staff Data Scientist Experimentation | Square |
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Remote Work
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for a Staff Data Scientist to join Block with a focus on building out Cash App’s experimentation capabilities while working across the entire 30 person DS org at Cash App.
You will:
Be directly responsible for bolstering our experimentation platform and toolingWork closely with a team of Engineers to design experimentation tools, with a focus on statistical accuracyCollaborate across multiple DS workstream to identify gaps/opportunities for increasing the effectiveness of how we approach experimentation across the companyEffectively communicate your work with team leads and cross-functional stakeholders and champion the experimentation cause more broadly across the organization
Qualifications
You have:
6+ years of data science and analytics experience in industryA graduate degree in Stats or a related field, or a bachelor’s degree and significant relevant experienceStrong statistical skills and deep expertise in hypothesis testing and designing experiments for product featuresExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Mode, etc)Experience in a high-growth tech environment Intellectual curiosity and a passion for what Cash App is building
Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Mode
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Senior Product Data Scientist | Square |
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have:
1-2 years of data science and analytics experience in industryA PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM fieldExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building
Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD54566975, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD54566975 is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Data Science Manager Payments Optimization | Square |
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for a Data Science Manager to lead our Payments Optimization team within Network Operations. The Cash App Network Operations (NetOps) team is responsible for building and managing a scalable payments ecosystem for a fast growing mobile payment app with multiple external and internal partners. You and your team will partner closely with Operations and Engineering to drive the operational excellence and continuous improvement for all existing and future mechanisms to move funds into and out of the Cash App ecosystem. Although this is a leadership role, we want someone who brings technical depth - you should expect an interview process which optimizes for both leadership and technical skills.
You will:
Lead the Payments Optimizations team, including an existing team a 2 Data Scientists, and quickly scale upAnalyze, develop, and deploy sophisticated payment cost and performance optimization strategies across Cash App’s products and services. Develop and execute actionable insights to drive positive impact to the businessIdentify opportunities to optimize across multiple metrics and constraints, leveraging in-depth analysis and rigorous experimental designPartner with senior leaders from Engineering and Operations to set and drive a long-term visionOffer technical mentorship to existing team members, focusing on their long-term growthUse data and expertise to build compelling narratives that communicate ideas and opportunities to gain buy in and build alignment, with both internal and external partners
Qualifications
To be successful, you should have:
8+ years of Data Science experience, with at least 2+ years of experience as a direct Manager of Data Scientists or Data AnalystsExperience working in Payments or Fintech is a plus, but not a requirementEnough (and recent) proficiency with Python, SQL and other relevant tools that will allow you to support and mentor the team and encourage their technical growthStrong communication and the demonstrated ability to translate insights into impactExcellent business acumen and a self starting attitude
Technologies we use and teach:
Querying and Pipelines: SQL (MySQL, Snowflake, BigQuery), Airflow, PrefectData Manipulation and Analysis: Python (Pandas, NumPy and sklearn) or RDashboarding: Tableau, Looker, Mode
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Data Science Manager | Square |
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Remote Work
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
The Cash App Data Science team is growing and we're looking to bring in experienced leaders to lead a few different areas of the organization - Experimentation/Growth, Financial Platform and Financial Services.
You will:
Lead a Data Science workstream (this may include taking on existing team members as reports or building the team from scratch)Develop and execute actionable insights to drive positive impact to the businessIdentify opportunities to optimize across multiple metrics and constraints, leveraging in-depth analysis and rigorous experimental designPartner with senior leaders from Engineering and Operations to set and drive a long-term visionOffer technical mentorship to existing team members, focusing on their long-term growthUse data and expertise to build compelling narratives that communicate ideas and opportunities to gain buy in and build alignment, with both internal and external partners
Qualifications
To be successful, you should have:
8+ years of Data Science experience, with at least 2+ years of experience as a direct Manager of Data Scientists or Data AnalystsExperience working in Payments or Fintech is a plus, but not a requirementEnough (and recent) proficiency with Python, SQL and other relevant tools that will allow you to support and mentor the team and encourage their technical growthStrong communication and the demonstrated ability to translate insights into impactExcellent business acumen and a self starting attitude
Technologies we use and teach:
Querying and Pipelines: SQL (MySQL, Snowflake, BigQuery), Airflow, PrefectData Manipulation and Analysis: Python (Pandas, NumPy and sklearn) or RDashboarding: Tableau, Looker, Mode
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Staff Data Scientist Games Mobile Analytics | 2K |
Who We Are
Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios are responsible for developing 2K’s portfolio of world-class games across multiple platforms. Including Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building, and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.
Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers, and doers, are the professional publishing stewards of our growing library of critically acclaimed franchises such as NBA 2K, BioShock, Borderlands, Mafia, Sid Meier’s Civilization, Tiny Tina’s Wonderlands, WWE 2K, and XCOM.
At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.
2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).
What We Need
We are seeking a staff data scientist to be our technical leader for games analytics. The ideal person will be an authority and an individual contributor who will deliver compelling insights to influence game roadmaps and enable decisions. Have a proven track record to mentor a team and applying your technical skills to generate value. You will be someone who has a good balance of business thinking alongside analytical and technical skills.
What You Will Do
Reporting: Develop and improve our mobile analytics reporting platforms; enabling teams across the company to make data informed decisions
Business Insight: Understand the problems our studios and partners want to solve for, and then define the right data, metrics, analysis, and interpretation to lead to the right recommendations and decisions
Understand players: Help us to further understand, model, predict, segment, and retain our players and enable our studios to launch new titles, develop features, and live ops events.
Innovate: Proactively develop new analyses, experiments, and data-driven tools to better understand our players’ behavior and the performance of our games
Discover: Use data and insights to discover opportunities for driving value for the business, develop ideas for new analyses, and model
Direct: Be the voice of product analytics and help choose the right projects to prioritize for the team. Have a significant voice in the analytics roadmap
Partner Management: Recognize dependencies, build relationships, and influence partners across teams
Communication: Design clear and unambiguous stories, and visualizations to report your results/analyses
What Will Make You a Great Fit
Experience: 7+ years of work experience in data science or analytics role
Leadership: Mentor, guide and inspire your colleagues
Analytical coding: Fluent programming via languages such as Python or R
Visualization: Adept in at least one visualization tool such as Tableau or Looker
SQL: The ability to write complex SQL queries to analyze our databases with millions of players and work with relational database systems.
Superb attention to detail, natural curiosity, and ability to problem-solve creatively
Bonus Points
Knowledge and love for the NBA and WWE franchises preferred
Intimate knowledge of game production and monetization strategies, as well as the current mobile marketing/technology landscape
As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform their essential job functions, and receive other benefits and privileges of employment. Please contact us if you need a reasonable accommodation.
Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.
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Product Data Scientist Enterprise Trust | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian is tasked to lead insights about our customers throughout their lifecycle with Atlassian. The team is responsible from defining and maintaining a customer health score, build models to predict potential churn, support business and product growth for Enterprise customers, and work to help customers get more value from our product suite, guide insights on the multi-year effort to transition server customers to Cloud. This team partner with other analytics teams. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way.
We're looking for someone who is excited about building a data foundation with analytical rigor and best practices to make us best of class.
What you'll do
You will deliver analyses leading to product and business strategy insights, with a focus on our larger, most important Enterprise customersYou will develop trusted relationships with product executives and change the way your partners approach problems, and influence product roadmapsYou will work with the Enterprise Trust product management team to ensure our cloud is secure and ready for our enterprise customersWhether it's SSO, directory syncing, or enhanced security, you'll be focused on supporting a broad portfolio of enterprise administration features and capabilities through their product lifecycle
Your background
2+ years experience in analytics, statistics, or related fieldsExpertise in SQL and proficiency in another data programming language (Python, R, etc.)Ability to transform raw data and analysis into well-written contentExperience translating insights into actions that have a direct business impactExperience instrumenting data and supporting products and features through their lifecycleExperience building ETL pipelines using any tools or scripting languages
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