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Data Science Manager Crypto | 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 ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers!
Job Description
Cash App is looking for a Data Science Manager with a deep interest and passion for bitcoin and data to lead our Crypto data science team. The Crypto team’s mission is to empower individuals across the world by providing financial services based on bitcoin and other digital assets.
As the lead of the Crypto Data Science team, we expect you to develop and maintain strategic partnerships with key stakeholders to ensure that our data science initiatives are aligned with the overall business strategy. Your leadership will be crucial in defining the team's roadmap, optimizing existing processes, and generating strategic research that will inform our product development decisions. To be successful, you will leverage your expertise in data science and your understanding of our Crypto products and market to drive impactful change. You and your team will contribute reusable frameworks and processes back to the foundational Data Science team, elevating the skills and capabilities of the entire organization.
Cash App became the first public company to launch bitcoin purchases in 2018 and since then we’ve added a full ecosystem of bitcoin products you’ll be supporting, from bitcoin buy/sell to novel technologies like the lightning network. Because your team will work with bitcoin data across multiple touchpoints (internal systems, blockchain, lightning network, etc.) a solid understanding of how these technologies function and demonstrated experience/interest working with this data is a big plus.
As a Data Science Manager you will:
Lead the Crypto data science team within Cash App and manage one Data Scientist with potential for scaling it upPartner with senior Crypto leaders from Engineering, Design and Product to set and drive a long-term vision for this teamIdentify opportunities to optimize across multiple metrics and constraints, leveraging in-depth analysis and rigorous experimental designDevelop your team members ability to partner strategically (not just on execution!) with their workstream partnersOffer 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
Work directly with blockchain and lightning network data to track and optimize the performance of our external crypto payments over those networksDrive proactive research to identify product opportunities within Cash App’s crypto product ecosystem
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 AnalystsDeep interest and passion for bitcoin and blockchain dataEnough (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, growth centric mindsetExperience in a high-growth tech environmentIntellectual curiosity and a passion for what Cash App is building
Technologies we use and/or teach:
Querying and Pipelines: SQL (MySQL, Snowflake, BigQuery), Airflow, PrefectData Manipulation and Analysis: Python (Pandas, NumPy and sklearn) or RDashboarding: Mode, Tableau, Looker
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $245,100 - USD $299,500
Zone B: USD $245,100 - USD $299,500
Zone C: USD $245,100 - USD $299,500
Zone D: USD $245,100 - USD $299,500
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
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 Scientist Fraud Risk | Square |
Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes and controls to root out high-risk fraudulent activity across the Square platform. You will also manage top level Risk KPIs, establish core operational metrics, formulate strategy and implement controls to detect and prevent fraud on the platform. Apart from working on fraud problems that pose a direct financial risk to our Sellers and to Square, this role will also focus on detecting and rooting out abuse of our customer messaging capabilities (e.g. email marketing, invoices, chat etc.) for the purpose of phishing, scams or spam.
You will lead experiments to measure the effectiveness of our strategies. You will partner with product, engineering, risk operations/policy and sales teams to influence Squares global Risk road map and processes. You will define, set targets for and own key metrics around financial fraud and messaging abuse and be responsible for strategies to achieve the targets.
You Will
Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership
Qualifications
5+ years of relevant experience post Bachelors degree (or Masters with 3+ years of relevant experience)Experience with SQL, Python and LookerExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience in risk, trust and safety, payments, or spam/phishing/scam prevention and detection is preferred but not a requirement for the role.
Additional Information
At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, social or health conditions, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com.
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, based solely on the core competencies required of the role at hand, and without regard to any 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.
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 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
Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
This role will be embedded on our Risk ML team. In this role you'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with state-of-the-art algorithms to drive down false positives, collaborate on new product features to drive fraud losses down, use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models, verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers.
Technologies we use (and teach):
Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)MySQL, Snowflake, GCP/AWS and TableauJava
Qualifications
You have:
8+ years experience with applied Machine Learning or Deep LearningA graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical fieldWorked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML modelsA track record of providing mentorship and technical leadershipAn appreciation for the connection between the software you build and the experience it delivers to customers
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, based solely on the core competencies required of the role at hand, and without regard to any 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.
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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Lead Analyst Data Science | Apree |
Lead Analyst – Data Science, Analytics
About the Company
apree health – the new name for the joint Castlight Health and Vera Whole Health merger – is seeking an experienced healthcare data scientist to join our Analytics team. apree health is a healthcare company entering an exciting new growth phase where we are adding new product offerings to our employer vertical, along with continued expansion into sectors such as health plans and the provider (clinical) side of healthcare.
About the Team
The Analytics team is a group of highly skilled analytic resources who work together toward a culture of data-driven decision-making across the organization. Our team uses a diverse array of healthcare and product usage data to provide analytic insights that support the entire organization, including Customer Success, Product Management, Sales and Marketing, and most recently, direct patient-care teams delivering Advanced Primary Care.
We are a collaborative, flexible, and friendly team who get excited about data and analytics and the role they play in decision making. Our culture is one of teamwork, shared responsibility, mutual respect, and growth. Our key day-to-day responsibilities include:
Performing claims and EMR-based analysis to quantify impact, value & ROI for our customers & the market; help drive and strengthen our value propositionDeveloping and maintaining business reporting and intelligence dashboards to convey the value of our product to Customers, and uncover actionable insights for our internal teams and customersDelivering ad hoc customer reporting requests; working to shape requests into meaningful & actionable dataEnsuring our data is augmented with cutting edge methodologies and algorithms to glean the maximum value from the data
We operate on a Google Cloud Platform and utilize technical tools that include: SQL/DataGrip/Bigquery, Tableau, Alembic/Terraform, Gitlab, Python, Airflow, Mixpanel, R Studio, and SAS.
About the Job
Our Analytics team is seeking a Lead Analyst – Data Science who will be responsible for designing and building analytic solutions and statistical foundations from complex and dynamic digital products and health informatics data. The Lead Analyst will execute on critical projects supporting the company’s AOP (Annual Operating Plan) by creating and improving on analytic approaches that answer the company’s most pressing business questions. You’ll work shoulder to shoulder with product managers, clinical staff, data engineers, and other members of the Analytics organization to analyze patterns, visualize data in effective ways, and extract valuable insights to ensure the delivery of high-quality analyses to both internal and external customers.
This position requires experience working with rich, multi-faceted data that include medical and pharmacy claims, digital product user activity, and self-reported information, plus deep skills in analytic and statistical methods. This team member will report directly to the Director/Sr. Manager of Analytics.
Business Role and Responsibilities:
Envision, create, and implement approaches to analyze healthcare data in innovative ways with the goal of understanding the “whole person” through a healthcare lensHelp create the analytic foundations to support a digitally-enabled primary care delivery systemDevelop statistical methods and models for assessing the impact of apree solutions on population healthDesign metrics and deliver insights pertaining to solution performance and opportunities for improvementCollaborate with internal resources to design and build data/analytics solutions needed to address critical business questionsCommunicate complex quantitative analysis in a clear, precise, and actionable manner Participate in stakeholder meetings and present data insights to users/executives in a succinct and effective way
Key Characteristics:
A natural “leader” who takes ownership of a challenge and sees it through to completionA problem-solver with a natural sense of curiosity, an analytic mindset, and a deep love of dataSelf-sufficient, ready to roll up your sleeves, and not afraid of ambiguityA detail-oriented individual who loves to create order out of chaosAble to work cross-functionally across many different stakeholder personasA strong communicator who effectively shares information at the appropriate level across a wide variety of audiencesA self-starter with a demonstrated track record of leading projects from idea to execution
Specific Requirements:
8+ years’ experience in a healthcare-based analytics roleMaster’s degree in a quantitative/analytic field or equivalent work experience5+ years experience working directly with administrative and/or clinical healthcare data (medical and pharmacy claims, EMR); familiarity with the standards and nuances of such dataExperience with product usage data desiredTechnical experience that includes strong SQL capabilities, Tableau or other BI tools, scripting languages, Gitlab, etc.Experience with statistical analysis methods ,modeling techniques, and tools (e.g. R, Python, SAS)Bonus: Knowledge of or experience supporting value-based care arrangements, experience with primary care delivery organizations
Benefits
Transforming healthcare isn’t easy. It takes hard work and dedication. That’s why we offer a highly competitive compensation and benefits package. Here are just a few of the benefits you’ll receive.
Competitive base payPremium medical, dental, vision coverage with health savings account (HSA) pre-tax savings optionAccess to Vera care center services, VeraDirect telehealth, health coachingMatching 401(k) retirement programGenerous PTO and paid holidaysContinuous learning and development, including medical education coverageWellness culture, team building and company events
If you reside in a state that is eligible to receive additional information about the compensation and benefits for this role, please send an email to [email protected].
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Lead Analyst Data Science Analytics | Apree |
Lead Analyst – Data Science, Analytics
About the Company
apree health – the new name for the joint Castlight Health and Vera Whole Health merger – is seeking an experienced healthcare data scientist to join our Analytics team. apree health is a healthcare company entering an exciting new growth phase where we are adding new product offerings to our employer vertical, along with continued expansion into sectors such as health plans and the provider (clinical) side of healthcare.
About the Team
The Analytics team is a group of highly skilled analytic resources who work together toward a culture of data-driven decision-making across the organization. Our team uses a diverse array of healthcare and product usage data to provide analytic insights that support the entire organization, including Customer Success, Product Management, Sales and Marketing, and most recently, direct patient-care teams delivering Advanced Primary Care.
We are a collaborative, flexible, and friendly team who get excited about data and analytics and the role they play in decision making. Our culture is one of teamwork, shared responsibility, mutual respect, and growth. Our key day-to-day responsibilities include:
Performing claims and EMR-based analysis to quantify impact, value & ROI for our customers & the market; help drive and strengthen our value propositionDeveloping and maintaining business reporting and intelligence dashboards to convey the value of our product to Customers, and uncover actionable insights for our internal teams and customersDelivering ad hoc customer reporting requests; working to shape requests into meaningful & actionable dataEnsuring our data is augmented with cutting edge methodologies and algorithms to glean the maximum value from the data
We operate on a Google Cloud Platform and utilize technical tools that include: SQL/DataGrip/Bigquery, Tableau, Alembic/Terraform, Gitlab, Python, Airflow, Mixpanel, R Studio, and SAS.
About the Job
Our Analytics team is seeking a Lead Analyst – Data Science who will be responsible for designing and building analytic solutions and statistical foundations from complex and dynamic digital products and health informatics data. The Lead Analyst will execute on critical projects supporting the company’s AOP (Annual Operating Plan) by creating and improving on analytic approaches that answer the company’s most pressing business questions. You’ll work shoulder to shoulder with product managers, clinical staff, data engineers, and other members of the Analytics organization to analyze patterns, visualize data in effective ways, and extract valuable insights to ensure the delivery of high-quality analyses to both internal and external customers.
This position requires experience working with rich, multi-faceted data that include medical and pharmacy claims, digital product user activity, and self-reported information, plus deep skills in analytic and statistical methods. This team member will report directly to the Director/Sr. Manager of Analytics.
Business Role and Responsibilities:
Envision, create, and implement approaches to analyze healthcare data in innovative ways with the goal of understanding the “whole person” through a healthcare lensHelp create the analytic foundations to support a digitally-enabled primary care delivery systemDevelop statistical methods and models for assessing the impact of apree solutions on population healthDesign metrics and deliver insights pertaining to solution performance and opportunities for improvementCollaborate with internal resources to design and build data/analytics solutions needed to address critical business questionsCommunicate complex quantitative analysis in a clear, precise, and actionable manner Participate in stakeholder meetings and present data insights to users/executives in a succinct and effective way
Key Characteristics:
A natural “leader” who takes ownership of a challenge and sees it through to completionA problem-solver with a natural sense of curiosity, an analytic mindset, and a deep love of dataSelf-sufficient, ready to roll up your sleeves, and not afraid of ambiguityA detail-oriented individual who loves to create order out of chaosAble to work cross-functionally across many different stakeholder personasA strong communicator who effectively shares information at the appropriate level across a wide variety of audiencesA self-starter with a demonstrated track record of leading projects from idea to execution
Specific Requirements:
8+ years’ experience in a healthcare-based analytics roleMaster’s degree in a quantitative/analytic field or equivalent work experience5+ years experience working directly with administrative and/or clinical healthcare data (medical and pharmacy claims, EMR); familiarity with the standards and nuances of such dataExperience with product usage data desiredTechnical experience that includes strong SQL capabilities, Tableau or other BI tools, scripting languages, Gitlab, etc.Experience with statistical analysis methods ,modeling techniques, and tools (e.g. R, Python, SAS)Bonus: Knowledge of or experience supporting value-based care arrangements, experience with primary care delivery organizations
Benefits
Transforming healthcare isn’t easy. It takes hard work and dedication. That’s why we offer a highly competitive compensation and benefits package. Here are just a few of the benefits you’ll receive.
Competitive base payPremium medical, dental, vision coverage with health savings account (HSA) pre-tax savings optionAccess to Vera care center services, VeraDirect telehealth, health coachingMatching 401(k) retirement programGenerous PTO and paid holidaysContinuous learning and development, including medical education coverageWellness culture, team building and company events
If you reside in a state that is eligible to receive additional information about the compensation and benefits for this role, please send an email to [email protected].
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Data Science Intern Summer | Crowdstrike |
CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers paid positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured program and supportive environment where they can ignite their passion for the future. Our University Program is designed to provide participants exposure to meaningful work that supports our mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!About CrowdStrikeCrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers competitively paying positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured twelve- or ten-week program and supportive, collaborative virtual, in-person, and hybrid environments where they can ignite their passion for the future of technology. Our University Program is designed to provide participants with exposure to meaningful work that supports CrowdStrike’s mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. We encourage all prospective candidates to apply if their background matches the expertise below.About the RoleCrowdStrike’s CTO Labs team works at the exciting intersection of Machine Learning, Big Data, and Security. We’re excited to renew our internship program this summer. You will have the opportunity to apply your computational, coding, mathematical and scientific research skills to solve cutting problems from a wide array of areas such as: New frontiers in Cybersecurity, AI for Go-to-Market, Threat Detection and Prevention, and End-to-End Automation. We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.What You'll Do
Work directly with Sr. Data Scientists, helping to create and automate predictive machine learning models
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate an visualize analyses, results and processes in our machine learning pipeline
What You’ll Need
Analytically minded with completed coursework in linear algebra and data science or an equivalent knowledge of applied mathematics
Experienced in writing python code to pre-process and analyze data to generate actionable insights
Hands on in your approach to understanding data and learning about new fields
Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Comfortable with working in a Linux environment
Bonus points for coursework or previous experience in computer security.
A rising junior, senior, or graduate-level computer science, data science student or related field, graduating between December 2023- August 2024
Example Projects
Analytically Mine large scale and high dimensional data, identify patterns, and visualize trends
Analyze cloud logs to identify user behavior that may pose risk
Design algorithms for vulnerability patch prioritization
Design algorithms to mitigate customer churn and identify upsell opportunities
Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats
Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
Work on cutting edge techniques to automate training of ML and AI models on large data
Summer Internship Program Experience Teaser
Remote-first culture
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, Intern Spirit Week, etc.) occurring weekly
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned one-on-one mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays, sick days, and 401k
Market leader in compensation
#LI-MP1 #LI-RemoteWhat You Can Expect:
Executive Speaker Series & Tech Talks
Fun socials and give-back events (e.g. virtual trivia, escape rooms, etc.)
Development workshops to grow your soft and hard skills
Networking opportunities with fellow interns and CrowdStrikers
Owning impactful projects that move the company forward
Working alongside a diverse and global team
Assigned mentor and continuous feedback
Participation in our Employee Resource Groups (ERGs)
Access to our FalconFit Wellness Program and Employee Assistance Program
Fun Slack channels (e.g. food, gaming, sports, pets, etc.)
Paid holidays and 401k matching
Remote-first culture
Market leader in compensation
We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected], for further assistance.CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Ithaca - NY, New Jersey City - NJ, and Colorado, the hourly rate for this position is $40 - 45.CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work
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Data Scientist Insurance | Kin |
So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Data Scientist, Insurance role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include:
Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.
I’ve got the skills… but do I have the necessary ones?
Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
2-5 years working experience developing ML models
Insurance experience preferred
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data
Oh, and don’t worry, we’ve got you covered!
Medical, Dental, Vision, Disability and Life Insurance
Flexible PTO policy
Remote work
Generous equity package
401K with company match
Parental leave
Continuing education and professional development
The excitement of joining a high-growth Insurtech company and seeing your work make an impact
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Manager Data Science Machine Learning | Myfitnesspal |
At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe fitness starts with what you eat. We provide the tools and resources to reach your fitness goals.Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Data Platform team, you’ll have the opportunity to positively impact those users by supporting the teams that build and maintain the backend systems that drive the MyFitnessPal ecosystem. In addition to technical expertise, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.
The Manager, Data Science and Machine Learning is responsible for building and leading a team of talented data scientists and machine learning engineers. This new team will be responsible for design, delivery and maintenance of a new machine learning platform that will support multiple business purposes and application features. To thrive in this role, you will execute well in an agile environment where we’ll depend on you to make pragmatic decisions, establish and use tight feedback loops, and take calculated risks based on your knowledge from collaborating with your peers. You’ve led teams before—either with direct reports or as a technical lead—and are comfortable delivering and receiving feedback with trust and candor. You know that your success is dependent on the success of your team, and you’re committed to coach and serve a team of experienced engineers.
Our diverse team of technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company.
Technologies and languages we work with include: Airflow, Amazon RDS, MySQL, Snowflake, Databricks, Elasticsearch, Scala, Python, SQL, Segment, Amplitude, Branch, Kubernetes, Docker, Okta. We care more about your general engineering skill than your knowledge of a specific language and or framework.
What you’ll be doing:
Promote the professional growth and happiness of teammates through mentorship, coaching, and encouraging positive, fearless, and trust-based collaboration
Develop strong working relationships with partners in product management, product engineering, data engineering, data operations, platform engineering, PMO, business intelligence, HR and Finance
Be a hands-on leader of data scientists and ML engineers responsible for the design, build and maintenance of ML models that drive a personalized experience throughout the MyFitnessPal user journey
Evaluate and improve existing systems to provide more robust solutions that allow others to move quickly and efficiently
Partner with product engineering, data engineers, and data operations to ensure the team adopts best practices for code development, DataOps/MLOps, testing, data quality, and quality assurance
Support resolution of production issues with ML model-driven production features
Work with our engineering, data science, product and leadership teams in support of MyFitnessPal to solve critical user problems. This is a broad surface area and uses a variety of technologies
Hold others accountable while demonstrating integrity and compassion
Enjoy jumping in and contributing to codebase as a hands-on member of the data science team
Live our core values in all you do:
Be Kind and Care
Live Good Health
Be Data-Inspired
Champion Change
Leave it Better than You Found It
Make It Happen
Qualifications to be successful in this role:
4-6 years of experience with at least 2 + years as a lead or manager of multiple data scientists or ML engineers
Experience working and innovating on a centralized Machine Learning platform supporting multiple production features / models.
A high degree of technical understanding to be able to closely collaborate with engineers and ML practitioners and being additive in strategic discussions about MFP’s future product offering
Demonstrated leadership experience working effectively with engineers, data scientists, ML practitioners, other Product Managers, etc
Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact
Strategic thinking and ability to incorporate larger business context into algorithm and product development
Help other teammates grow through mentorship and coaching
Have a solid understanding of what it takes to build production ML-models used in consumer applications
You likely have a degree in Computer Science or similar field, or equivalent real-world experience
Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.
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Senior Data Scientist Growth Marketing | Reddit |
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Data Scientist to work with our Growth Marketing team to help us accelerate our advertiser growth and understand our paid marketing efforts. This role will partner closely with several cross-functional partners such as the business marketing team and the ads product team to analyze the effectiveness of marketing programs.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
Responsibilities:
Work closely with cross-functional teams such as product, marketing, and business development to model, analyze and influence the impact of multiple marketing tactics
Develop dashboards to analyze marketing spend performance and return on investment
Drive research investigations to understand the behavior of advertisers acquired through different paid marketing channels
Develop an advertiser segmentation to help us understand how to better quantify customer needs and workflows
Stand up lifetime value models to estimate the value of advertisers acquired through paid marketing
Conduct in-depth post-campaign analysis or set up experiments to help the team understand performance and opportunities for improved targeting.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Required Qualifications:
4+ years of experience in quantitative analytical roles, preferably for an ads marketing team
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,000 - $275,300
#LI-Remote
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Principal Data Scientist | Trellis |
About the role:
As the Principal Data Scientist at Trellis, you’ll lay the foundation for a world class data science team. You’ll use our troves of data to optimize the experiences we offer to consumers and help unlock the value of their insurance data. Ultimately, you’ll help turn our data into accurate predictions, strategic insights, and user value.
Tasks will include:
Building and managing a roadmap of valuable data science projects aligned with our strategy
Building prediction models from our wide array of data sources
Developing hypotheses and proposing experiments to improve our products
Owning data science projects from conception to deployment, in concert with our product, design, and engineering teams
Uncovering insights that drive business strategy and decision making
You should have:
4-5+ years of experience in data science, ideally in roles that deployed working models to production systems for consumer experiences
Track record of success leading initiatives that drove user value
Strong SQL skills
Fluent in R, Python, and/or other languages used in data science
Communication ability: polished written documents that explain complex concepts to internal stakeholders
Ownership mentality: willing to do whatever it takes to create value from your work
Experience in insurtech/fintech is a plus
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Senior Data Scientist | Humana |
Description
Growth Analytics & AI within Humana is dedicated to transforming members’ journeys and Humana’s services using technology and analytics. We are looking for a Senior Data Scientist who will design studies and utilize cutting-edge predictive modeling techniques, test rigorous hypotheses, and turn data and insights into actionable plans. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative machine learning, R&D, and cutting-edge platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated
Read more about this job
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Senior Nlp Data Scientist | Humana |
Description
Humana is seeking a Senior Data Scientist who has strong experience with Natural Language Processing (NLP). The ideal candidate will have experience developing NLP models with transformer architecture and preferably have experience with Hugging Face. Additionally, the ideal candidate will have experience with topic modeling and/or sentiment analysis.
This is your opportunity to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!
Responsibilities
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data
Read more about this job
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Manager Data Science | Humana |
Description
Humana’s Provider Payment Integrity organization is looking for an experienced Data Science Manager to join the Claims Cost Management (CCM) Solutions Support team working from home anywhere in the US. This dedicated team is focused on building data-driven analytical solutions to prevent fraudulent claims.
Responsibilities
The Data Science Manager within Provider Payment Integrity will utilize their leadership skills and improvement process experience to lead a remote team of 6 highly skilled associates that are located throughout the country. This team will consists of Data Scientist, Cognitive/Machine Learning Professionals and a Database Engineer. This Manager will be experienced and knowledgeable in mathematics, statistics, modeling, business analysis
Read more about this job
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Director Of Data Science Expansion | Slack |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsOur Research & Analytics team is hiring a Director of Data Science to oversee our efforts in multiple key product areas! This role’s largest component will be working with the Expansion product team. The Expansion product team is a cross-functional team that is focused on the growth of the Slack self-service business. They drive Slack’s growth by streamlining and improving key aspects of the customer journey: creating and joining teams, invites, in-product education, awareness of paid features, trials, discounts, purchasing, and billing.You will work cross-functionally with product, design, and engineering as a member of our Expansion leadership group. Your team will be responsible for delivering data and insights to drive strategy, decision making, and execution. You will also work closely with other leaders on Research & Analytics to drive operational excellence across the entire organization.What you will be doing
Build, lead, and mentor a high-performing team of analysts
Drive the strategy for product analytics support for multiple product pillars
Ensure the delivery of high quality work by providing technical guidance, implementing standard approaches, and generally providing on-going feedback
Partner closely with Product, Engineering, and Design leadership to drive impact throughout the product development process with research and data
Ensure alignment with partner teams by fostering a collaborative and transparent working model
Advocate for the team and represent their needs and challenges with cross-functional leadership
Partner closely with our Product leadership team to influence goals, strategy, and product direction
Work closely with Research and Analytics leadership to answer important questions about our customers, our product, and the business
What you should have
8+ years of professional experience working in data science and analytics
2+ years of experience in a management role
Experience leading and growing a high-performing product analytics and data science team
Comfort providing technical feedback and guidance for broad sets of data projects
A consistent record of using data to help product teams to achieve goals
Experience leading and collaborating with diverse teams in a dynamic, rapid growth environment
Ability to communicate effectively with managers and executives
A nuanced understanding of inclusive hiring practices
Comfort with ambiguity and grace under pressure
Excellent written and verbal communication skills
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce, Inc. and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce, Inc. and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For Colorado-based roles, the base salary hiring range for this position is $175,600 to $254,700.For New York-based roles, the base salary hiring range for this position is $193,200 to $305,600.For California-based roles, the base salary hiring range for this position is $193,200 to $305,600.For Washington-based roles, the base salary hiring range for this position is $175,600 to $280,200.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.Certain roles may be eligible for incentive compensation, equity, and benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.
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Trading Analytics Manager Data Scientist | Swish Analytics |
Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients. This position is 100% Remote
Swish Analytics is looking for a hands-on Trading Analytics Manager to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.
Duties:
Work with a team of data professionals to execute on the following deliverables:
Apply statistics and data modeling to gain actionable business insights for Trading and Data Science Teams.
Own the end-to-end data pipeline that will be used for extracting, managing, and analyzing customer data from multiple sources.
Develop algorithms to provide automated trading suggestions that maximize margin and minimize risk.
Communicate and track key performance metrics across Trading and Data Science.
Manage cross-functional efforts, review their performance, and manage schedules.
Mentor others on the team while owning independent deliverables.
Develop and generate reports of findings and present these to senior management.
Requirements:
Prior Data Science or Data Analytics experience in sports betting, sports analytics, pro sports, or similar environment
Master’s Degree/PhD in Statistics, Mathematics, Computer Science or related STEM Field
5+ years of financial risk management modeling (sports betting, hedge fund management, options trading, securities trading, etc)
Advanced level skills in Python to ingest, clean, model and visualize data
Understanding of the sports betting marketplace or experience analyzing sports data
Proven ability to train/mentor team members in utilizing best practices for software development as well as data science implementations
Experience using visualization tools (plotly, Tableau, etc)
Experience using Git (or other version control systems) in a collaborative environment with other developers
Experience in developing or helping design (in collaboration with data engineers) ETL processes that are used to generate cleaned and processed data as input for data science modeling or analysis
Writing complex SQL queries to efficiently retrieve data from relational databases (e.g. MySQL, Postgres)
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
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Data Scientist | Phantom |
Our crypto wallet is used by millions of people to access web3 apps and financial services. As our first dedicated data science hire at Phantom, you’ll be helping our product, design, engineering, and operations teams making data-driven decisions. This is a unique opportunity where you'll influence strategic product and infrastructure decisions as we bridge the gap between the blockchain and the delightful experience our users have come to expect.
This role is fully remote; however, we’re only open to candidates based in US and EU time zones. Currently Phantom cannot support employees from the following countries and continents: Russia, Pakistan, Ukraine, Asia, Oceania, and Africa.
Responsibilities
Empower the company with data - Generate and communicate data-driven insights to influence product and business decisions.
Develop metrics and experiments - Understand our growth and measure the impact of product and operational changes.
Drive infrastructure decisions - Identify and build for the data needs of our company that will drive company impact while aligning with our commitment to user privacy.
Work collaboratively - As a member of Growth team, contribute to the company roadmap by working with stakeholders across Product, Design, Engineering, Operations.
Qualifications
5+ years working in product-driven organizations and driving decision-making.
Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact.
Experience analyzing, cleaning, and preparing reports on large, diverse data sets.
Experience with experiment design and funnel analysis with an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities.
Mastery of SQL and familiarity with R and/or Python for analysis and model-building.
Nice-to-have: Professional experience with data sets in crypto, NFTs and DeFi.
Why Work with Us
Opportunity
We are a team of experienced builders with a ton of traction in a big and growing market – our users are so passionate they were hacking their way into our private beta. Only months after launching we've acquired millions of users, and are adding hundreds of thousands every week. We are by far the leading wallet on Solana, and plan to expand to other chains soon.
On top of that, there has never been a better time to work in crypto and on wallets in particular.
Wallets play a pivotal role: Wallets are responsible for on-boarding new users into crypto, and can make or break the user experience.
We are moving to a multi-chain world: New blockchains and scaling solutions are coming online and gaining traction, but are lacking decent wallets and bridges.
DeFi & NFTs are exploding : Interest in DeFi and NFTs has exploded, yet they are still an after-thought in existing wallets.
Benefits
Competitive salary and equity.
Comprehensive insurance (medical/dental/vision) — 100% covered.
Stipend for your ideal remote / WFH set-up: laptop, headphones, and any other work gear you may need.
Flexible hours and a long-standing, supportive remote environment.
Monthly co-working space and mobile phone expense.
Unlimited vacation: Take time when you need it (and we really mean it).
401(k) retirement plan (although we are not matching at this time)
Wellness benefit
Daily lunch benefit
The target base salary for this role will range between $x to $y with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
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Senior Data Scientist Ads Quality Analytics | Reddit |
Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Senior Data Scientist to work within the Ads Data Science team. You will work closely with engineers and product owners from our Ads team to 1) optimize ads delivery and auction systems, 2) shape product roadmap and strategy of ads quality and relevance. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities.
Responsibilities:
Research, design and develop contextual ad relevance measurements. Reddit ad is a combination of text, image, user and ad engagement attributes. You will use modern statistical models to combine those signals and develop measures for ad quality.
You will design metrics and experiments to understand marketplace tradeoffs between user engagement and ad quality, as well as measure long term user impact of ad quality. You will develop models that would optimize both ad quality and ad delivery.
Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.
Required Qualifications:
Relevant experiences in ads marketplace.
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience).
Deep understanding of online experimentation and causal inference.
Strong analytical and communication skills.
Proficiency in machine learning, statistical modeling, and optimization.
Strong skills in SQL and programming (Python or R).
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1
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Senior Data Scientist Ads Platform Analytics | Reddit |
Location: US Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Ads Platform product team on launching new products to improve the Advertiser experience creating & managing campaigns on Reddit . You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You’ll Have Impact:
Partner with the product engineering team working on the Ads Platform. Providing thought partnership on products like the Reddit ads manager, advertiser API, & advertiser onboarding.
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Responsibilities:
Act as an owner by partnering with the Ads Platform team on product development
Become an expert on the advertiser experience at Reddit - designing & analyzing experiments to test improvements to our platform
Build KPI reporting & ETLs to track the performance of Reddit’s Ads Platform team
Learn how Advertisers interact with the Reddit platform and research how their experience could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new products is accurate
Required Qualifications:
4+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1
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Data Scientist | Planet |
About the Role:
Planet is seeking an entrepreneurial Data Scientist to join our Data team. The team is responsible for bringing best-in-class data products to Planeteers as we look to achieve our North Star over the next decade and enable every Planeteer to measure the impact of their work towards our triple-bottom-line (planet, people, profit). This key contributor will play a critical role in shaping the team’s technical direction to guide Planet’s product, technology, and business teams. Core responsibilities will be focused on data mining, metric development, causal inference, and delivering quantitative insights to influence product & business strategy.
Impact You’ll Own:
Drive the full data science lifecycle–from exploratory data mining, problem definition, experimental design and instrumentation to data conditioning, analysis, and storytelling–uncovering actionable insights on Planet’s customers, products, and platform in terabytes of data
Partner with cross-functional teams worldwide from Product, Engineering, and Design using data to better understand and optimize the customer experience
Catalyze innovation by translating business requirements into data products (e.g. automated KPI reporting, customer segmentation analyses, dynamic pricing models) that play a critical role in helping us build our Earth Data Platform
What You Bring:
2-3+ years of experience in data science supporting commercial or government software products
Excellent skills in problem formulation, metrics definition, ETL/ELT pipelines, statistical methods, and data visualization
Development background using Python, SQL, DBT, Git, and cloud-based platforms, like Google Cloud Platform or Amazon Web Services, to store and analyze data
Passion for Planet’s mission to use space to help life on Earth
What Makes You Stand Out:
Experience refactoring large (> TB), disparate, poor-quality datasets
Background writing production code or MLOps
Domain expertise in remote sensing, geospatial information systems, or product analytics
Professional examples where you used data to influence business decisions that generated customer value
History with world-class data teams working in a fast-paced, customer-centric culture
Demonstrated success collaborating across global time zones in a hybrid work environment
Proven record of problem solving and overcoming ambiguity with minimal direction
Ability to communicate effectively to technical and non-technical audiences
Desire to learn quickly
Curiosity, creativity, and collegiality!
Benefits While Working at Planet:
Additional company winter holidays and regular global days off
Remote friendly work environment and flexible working hours
Contribution to our growth by offering equity options for employees
Giving back to the community - one day per quarter for charitable work
Learning and Tuition Reimbursement
Regular hack-weeks and meetup events to exchange knowledge
Home office budget
Employee Resource Groups providing empowering spaces for connection and mentorship
#LI-NB1
#LI-REMOTE
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Product Data Science Manager | Rec Room |
(This role is fully remote for candidates located in British Columbia.)
Rec Room is the best place to build and play games together. Users can chat, hang out, explore MILLIONS of rooms, or build something new to share with the world! Rec Room aims to be the best place for game creators to come and build immersive experiences, and we’re looking for someone to help us achieve that vision.
As the Data Science Manager of the User Generated Content (UGC) team, you’ll be working on our most significant strategic initiative at the company. We want to enable creators to build high-quality rooms that get users coming back, and we want to provide players with whichever type of game they’re interested in. You’ll define the UGC DS research roadmap, partnering with the team leads to help shape our longer-term strategy and achieve these goals. You’ll drive our understanding around how we’re improving game quality, how we can better connect our creators with our users, and how to improve the tooling needed to build more engaging games.
WHAT YOU'LL DO:
Support data scientists focused on UGC across multiple teams, including the Maker Pen team, Logic & Circuits team, UGC Foundations, and Creator Academy.
Partner with designers and engineers to define the DS research and understand the roadmap that can best inform short and long-term product strategy.
Work with team leads on integrating A/B testing as part of the product development cycle
Land some IC contributions, focusing on driving larger strategic projects to completion
Define best practices and support and grow a high-quality, high-impact team
WE ARE LOOKING FOR INDIVIDUALS WITH THE FOLLOWING:
5+ years of product analytics experience, with substantial experience as a senior or principal IC in a user-facing product company
2+ years of experience in a management or tech lead role
A track record of high-impact analyses that have led to strategic direction & product impact
Deep familiarity with A/B testing
Have a high level of proficiency in SQL (aggregate functions, window functions, complex joins, CTE)
Working knowledge of R/python
Ability to communicate effectively with audiences of various technical and non-technical backgrounds
COMPANY INFO TO KNOW:
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life.
Rec Room provides equal employment opportunities to all employees and 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.
Applicants who are in need of a reasonable accommodation for any part of the application process may contact, in confidence, [email protected]. Rec Room will work with each individual to define their application-related needs and to try to accommodate those needs.
Applicants can find our CCPA disclosure notice here.
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Senior Analyst Analytics And Data Science | Everquote |
As the Senior Analyst for EverQuote's Analytics and Data Science teams, you will help thousands of partners to assist millions of consumers protect their most valuable assets. You will formulate data-driven strategies for optimization and growth across all verticals and products by enabling teams to take advantage of best-in-class technology. You will be a significant driver of strategic, transformative growth for EverQuote overall, design and operationalize an industry-leading consumer experience, and support the successful growth of our insurance partners.
The Analytics and Data Science team’s mission is to enhance, empower, and accelerate decision-making through delivering best-in-class quantitative and qualitative data analysis and insights that dramatically improves the consumer, insurance agent, and insurance carrier experience.
What You’ll Be Doing:
Work cross-functionally with EverQuote’s internal stakeholders and serve as a primary program manager for all things analytics
Monitor, assess, and continually improve key performance metrics for partners by creating novel value-add work streams
Launch growth and quality improvement projects and communicate results/insights to both the Senior Leadership Team and functional leads
Break down large, complex problems into systematic, easily understandable outputs to deliver projects and results on time
Maintain efficiency, accuracy, and transparency across data collection, model implementation and result analysis
Possess a continuous learner and continuous improvement mindset
What You'll Need:
2+ years of Data Analyst experience tackling business problems using data-driven approaches and presenting to business and technical stakeholders.
Experience with technical project/program management at a Technology company is a plus
Experience running projects involving multiple stakeholders in a cross-functional fast-paced environment
Previous experience using large data sets and statistical models to drive business impact
Strong data analysis and statistical skills skills, expertise in SQL, Python, Tableau, Excel, A/B testing
Proven ability to think strategically and execute solutions to address both defined and undefined problems
Excellent communication skills across all levels of an organization
We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.
About Us:
EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online.
EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.
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Data Science Manager | Pumpkin Petcare |
Hi from Pumpkin!
Pumpkin is a pet care company on a mission to help make ‘the best pet care possible fur all’. We want to revolutionize pet healthcare by making it easier for families to provide their pets with the wellness and medical care they need throughout their lives. Launched by Zoetis (ZTS), a Fortune 500 company that’s the world’s largest animal health company, Pumpkin is an early-stage startup with big dreams! As a pack, we share agility, guts, collaboration, and a relentless pursuit in creating a healthier, happier world for pets and their people.
Pumpkin is looking for an innovative and highly analytical individual with strong insurance experience to join our team as a Data Science Manager. In this role, you’ll focus on the research and development of new predictive models and new analytical techniques related to insurance pure premiums, pet lifetime insurance journey, claims and pet/owner behaviors. Leveraging internal and external data, the models you develop will support ratemaking, economic analysis, competitive positioning and underwriting. This is an exciting opportunity to work as a foundational member of our underwriting team where you will have a tangible impact in helping pets and pet parents!
This role is a remote for those outside of a commutable distance of the New York City office. Some travel will be required. Individuals located in the NYC area will be considered hybrid, with a requirement of 2 days a week in the office.
What You'll Do:
Use statistical and predictive modeling techniques including machine learning, probability networks, association rules, clustering, principal component analysis, generalized linear modeling, time series and decision trees; working with neural networks and their application to derive business recommendations.
Participate in special projects requiring advanced quantitative expertise.
Ensures project controls are in place throughout the lifecycle of the project to comply with stringent regulatory requirements and utilizes effective project planning to ensure deadlines are kept.
Collaborates with upper management to assess the potential effects of proposed solutions and incorporates these considerations into recommendations.
Leverage relationships with internal and external partners to drive ongoing improvements to the data and data architecture.
Lead the preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models.
Performing data cleaning and validation including identifying outliers, exceptions and inconsistencies; performing data quality control and visualization.
Partner closely with Engineering, Data and IT, along with numerous stakeholders across the company to ensure seamless implementation of new models.
What We're Looking For:
Position requires a Master’s degree, PhD , or foreign equivalent, in Statistics, Mathematics, or a closely related field of study.
3+ years of experience developing and implement multivariate predictive models using Generalized Linear Modeling (GLM) and other statistical methods.
Programming experience with SAS, C++, SQL, R or Python.
Focused discipline on model validation and model improvement rigor.
Strong business intuition and analytical skills with a solid understanding of complex insurance loss cost concepts.
Excellent communications skills, both verbal and written.
Ability to provide written and oral interpretations of highly specialized terms and data, and the ability to present this data to others with different levels of expertise.
Strong attention to detail, focus on data controls, approvals, authorizations and documentation.
Bonus Points:
Experience with state Insurance Department regulatory filings and requirements.
Working with VBA programming; programming and use of database tools such as, Tableau, and Power BI.
Experience in working with implementations of TensorFlow, Neural Networks, NLP.
Experience with cloud platforms such as AWS or other serverless environments.
Benefits and Perks:
Comprehensive contributions to medical, dental and vision for colleagues and dependents.
Generous PTO and Paid Holidays.
401k with company match.
Pumpkin Insurance and preventative care for every pet in your family.
The opportunity to join a team where every team member has the autonomy and support they need to boss their role and make empowered decisions.
Pet Friendly Offices, Stocked Kitchens, Team Workouts, Team Outings and much more!
The compensation for this position ranges from $140,000-$175,000 (annually). Compensation may vary outside the listed range, based on a number of factors including but not limited to location, qualifications, performance, skills and experience. The compensation range listed is just one component of Pumpkin’s total compensation package for employees. Total compensation packages, depending on the position, may also include incentive compensation, discretionary bonuses, and other short or long-term incentives. If hired, employees will be in an ‘at-will position’ and Pumpkin reserves the right to modify compensation (as well as any other discretionary payment or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.
Newly hired staff must be fully vaccinated by their start date. Applicants unable to comply with this policy due to an underlying medical condition or sincerely held religious belief may be eligible for an accommodation, unless such an accommodation would be unduly burdensome or present a direct threat to the applicant, our employees, or the members of our greater community.
Pumpkin is proud to be an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other characteristic protected by federal, state or local laws.
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Senior Applied Data Scientist Media Mix | 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.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
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, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context
As part of the Media sector practice:
Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media
Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.
Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities
Other job responsibilities include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with 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
Qualifications
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
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 Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research
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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Data Scientist | Vertical Knowledge |
OUR MISSION
The availability of public data is growing at exponential rates, creating unprecedented opportunities for data analytics and information arbitrage. The Vertical Knowledge (VK) platform enables our customers to access and understand information that is publicly available but very challenging to identify and capture at scale. It provides organizations in both public and private sectors with a significant strategic advantage, transforming the way they discover, collect, and deploy Publicly Available Information (PAI) to solve their most challenging problems. We are constantly adapting to a rapidly changing landscape, and our customers depend on our innovation, proprietary technology, expertise, and support to consistently deliver the value of PAI.
At VK we hire talented people and then give them the opportunity and support to make an impact. Working at VK means standing at the forefront of technology that enables organizations across the private and public sectors to harness PAI (Publicly Available Information, also known as public data) - the fastest-growing type of alternative data in the world.
As the saying goes, when everyone’s digging for oil, it’s good to be in the drill business. Data is today’s oil and VK builds the most sophisticated and powerful drilling technology in the market.
VK is based in Chagrin Falls, outside of Cleveland, OH. (home of Calvin & Hobbes, Superman and the Rock and Roll Hall of Fame). We are a mission-driven organization that takes pride in knowing that our work has the potential to literally save lives.
SUMMARY
We're looking for a skilled Data Scientist who will be responsible for applying technical expertise to execute meaningful analysis using specialized methodologies and tools to support our customer's mission and operations. The position will report to the Chief Data Strategy Officer.
The data scientist role includes data model development, analysis, testing, and creating derived data product, working closely with internal and external customers to understand their questions and needs.
The Data Scientist role is responsible for data processing, engineering, analysis tasks, analyzing information, identifying trends, and creation of data models. The Data Scientist role will gain insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data across multiple data sources.
PRIMARY RESPONSIBILITIES
Use Python, SQL, visualization tools and other data science IDEs to query, transform, analyze, and combine datasets in support of solving problems and implementing research ideas across industries and data categories.
Enhance our platform through the creation of tools and processes that streamline, scale, and standardize our ability to evaluate, clean, analyze, and disseminate data
Work with cross-discipline teams to ensure connectivity between various data sources and business problems
Communicate highly technical methods to non-technical stakeholders and translate open-ended questions into data-driven answers
The Data Scientist role will work well with peers of similar experience as well as senior managers and juniors that need mentoring
QUALIFICATIONS
2 or more years of experience in a data science or research function
B.S. Degree in a STEM, quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or combination/equivalent work experience and/or military training with a Masters Degree in Data Science
Strong technical data aptitude coupled with a strong understanding of the business value open-source data contributes to solving complex problems
Possess both an understanding of real-world mission/business objectives and a working grasp of software development practices and technologies
Must be a skilled communicator, with well-developed verbal, written and presentation ability to communicate data narratives to technical and non-technical audiences
Customer service oriented with a demonstrated desire to meet expectations and the ability to serve multiple internal and external customers and deliver an excellent experience.
Able to understand various data structures and common methods in data transformation
Transferable experience in quantitative research, data science, data research, or similar functions is preferred.
Experience using structured and unstructured databases
Experience in data mining and statistical analysis
Software programming knowledge (e.g. R, Scala, SQL and Python)
Understanding of data architecture, table hierarchy and data relationships.
Ability to perform data profiling to identify and understand anomalies.
Project management skills/experience a plus
Experience with Agile software development methodologies (e.g. JIRA) a plus
This position requires that the candidate selected must be a U.S Citizen, and have the ability to obtain/maintain a U.S. DoD Top Secret Clearance
Position may be based in our office in Northeast Ohio or remote anywhere in the U.S
COMPETITIVE BENEFITS & SALARY
Company paid premiums for employees and their dependents, such as medical, dental, vision, disability and life
Employer Health Savings Account (HSA) contributions
401(k) retirement plan with financial planning
Unlimited vacation days
Flexible work schedules
A casual work environment and dog friendly office (Ohio HQ only)
A fully stocked kitchen with snacks and beverages (Ohio HQ only)
Vertical Knowledge L.L.C. is an Equal Opportunity and Affirmative Action Employer. VK is committed to the policy of an equal employment opportunity in recruitment, hiring, career advancement, and all other personnel practices. All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, family responsibilities, matriculation, political affiliation, genetic information, disability, past or current military service, or national origin.
Reasonable Accommodations for Applying
Applicants who qualify under the Americans with Disabilities Act, as Amended, may be eligible for a reasonable accommodation in Vertical Knowledge LLC application and selection processes. If you require an accommodation in applying through our online system, please send an email to [email protected]. Please note that this email address is not to be used for checking on the status of an application.
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Graph Data Scientist Ontology Specialist | Vertical Knowledge |
OUR MISSION
The availability of public data is growing at exponential rates, creating unprecedented opportunities for data analytics and information arbitrage. The Vertical Knowledge (VK) platform enables our customers to access and understand information that is publicly available but very challenging to identify and capture at scale. It provides organizations in both public and private sectors with a significant strategic advantage, transforming the way they discover, collect, and deploy Publicly Available Information (PAI) to solve their most challenging problems. We are constantly adapting to a rapidly changing landscape, and our customers depend on our innovation, proprietary technology, expertise, and support to consistently deliver the value of PAI.
At VK we hire talented people and then give them the opportunity and support to make an impact. Working at VK means standing at the forefront of technology that enables organizations across the private and public sectors to harness PAI (Publicly Available Information, also known as public data) - the fastest-growing type of alternative data in the world.
As the saying goes, when everyone’s digging for oil, it’s good to be in the drill business. Data is today’s oil and VK builds the most sophisticated and powerful drilling technology in the market.
VK is based in Chagrin Falls, outside of Cleveland, OH. (home of Calvin & Hobbes, Superman and the Rock and Roll Hall of Fame). We are a mission-driven organization that takes pride in knowing that our work has the potential to literally save lives.
SUMMARY
We're looking for a skilled Data Scientist with experience in graph data architecture and/or engineering who will be responsible for applying technical expertise to execute meaningful cross data asset interactions using specialized methodologies and tools to support our customer's mission and operations. The position will report to the Chief Data Strategy Officer.
The Graph Data Scientist role includes data architecture development, data model development, platform identification, data analysis, system testing, and creating derived data product while working closely with internal and external customers.
The Graph Data Scientist/Ontology Specialist role is responsible for developing and implementing graph modeling techniques at scale to leverage existing and expanding data assets. The role will gain insight into key business problems, be a key in developing actionable deliverables utilizing structured and unstructured data across multiple data sources.
PRIMARY RESPONSIBILITIES
Implement graph specific technologies (e.g., Allegro, Neptune, Neo4j, etc.).
Use python, SQL, visualization tools, graph specific languages and data science IDEs to query, transform, analyze, and combine datasets in support of solving problems and implementing research ideas across sectors and data categories.
Enhance our platform through the creation of tools and processes that streamline, scale, and standardize our data.
Work with cross-discipline teams to ensure connectivity between various data sources and business problems
Communicate highly technical methods to non-technical stakeholders and translate open-ended questions into data-driven answers
The Graph Data Scientist role will work well with peers of similar experience as well as juniors that need mentoring
QUALIFICATIONS
2 or more years of experience implementing and/or working within a graph data environment
Bachelors Degree in a STEM, quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or combination/equivalent work experience and/or military training with a Masters in Data Science.
Strong technical data aptitude coupled with a strong understanding of the business value open-source data contributes to solving complex problems.
Possess both an understanding of real-world mission/business objectives and a working grasp of software development practices and technologies
Must be a skilled communicator, with well-developed verbal, written and presentation ability to communicate data narratives to technical and non-technical audiences
Customer service oriented with a demonstrated desire to meet expectations and the ability to serve multiple internal and external customers and deliver an excellent experience.
Able to understand various data structures and common methods in data transformation
Transferable experience in quantitative research, data science, data research, or similar functions is preferred.
Experience using structured and unstructured databases
Understanding of data architecture, table hierarchy and data relationships.
Project management skills/experience a plus
Experience with Agile software development methodologies (JIRA) a plus
This position requires that the candidate selected must be a U.S Citizen, and have the ability to obtain/maintain a U.S. DoD Top Secret Clearance
Position may be based in our office in Northeast Ohio (preferred) or remote anywhere in the U.S.
COMPETITIVE BENEFITS & SALARY
Company paid premiums for employees and their dependents, such as medical, dental, vision, disability and life
Employer Health Savings Account (HSA) contributions
401(k) retirement plan with financial planning
Unlimited vacation days
Flexible work schedules
A casual work environment and dog friendly office (Ohio HQ only)
A fully stocked kitchen with snacks and beverages (Ohio HQ only)
Vertical Knowledge L.L.C. is an Equal Opportunity and Affirmative Action Employer. VK is committed to the policy of an equal employment opportunity in recruitment, hiring, career advancement, and all other personnel practices. All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, family responsibilities, matriculation, political affiliation, genetic information, disability, past or current military service, or national origin.
Reasonable Accommodations for Applying
Applicants who qualify under the Americans with Disabilities Act, as Amended, may be eligible for a reasonable accommodation in Vertical Knowledge LLC application and selection processes. If you require an accommodation in applying through our online system, please send an email to [email protected]. Please note that this email address is not to be used for checking on the status of an application.
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Cyber Data Scientist Senior | Booz Allen Hamilton |
Cyber Data Scientist, Senior
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open-up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve public and private sector cybersecurity automation. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in both the public and private sectors. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
4+ years of experience with machine learning engineering, data science, data engineering, or software development for data solutionsExperience designing and implementing machine learning models for applied solutioning across defensive and offensive cyber use casesExperience with object-oriented programming languages, including Python, C++, Java, R, or ScalaExperience with containerization tools, including Kubernetes and DockerExperience designing a technical solution and leading a team in the implementation of the technical designAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with penetration testing data, advanced threat hunter, or leading Red and Blue teamsExperience with data-oriented tasks for cybersecurity solutioning, including developing machine learning algorithms, data models, or architecture strategy for cyber defense purposesExperience developing and supporting cybersecurity solutions with a focus on applied data science or machine learningExperience architecting and designing novel analytic methods and cutting-edge machine learning methodologiesExperience developing and engineering data workflows to merge disparate data sources and draw data-driven insightsAbility to leverage a wide variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrityAbility to oversee and optimize business opportunities aligned to strategic objectivesMaster's degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Build Your Career:
At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Healthcare Data Scientist | Booz Allen Hamilton |
Healthcare Data Scientist
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new
opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the way healthcare is delivered at the Department of Veterans Affairs, as well as extend access to quality healthcare for Veterans nationwide. You’ll work closely with your client to understand their questions and needs, and then utilize understanding of the intersection of data science and healthcare delivery to provide actionable insights to Healthcare Operations and Clinical SMEs. You’ll work to rapidly identify relevant data sources, assess fitness for the problem at hand, analyze gaps, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help VA leadership make informed decisions. You’ll provide your client with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the healthcare industry. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us. The world can’t wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with analyzing and applying insights from healthcare dataExperience with building and tuning algorithms, including using common data cleaning and machine learning techniquesExperience with developing algorithms and leveraging R, Python, or SQLExperience with visualization packages, including Power BIAbility to work independently or in a team to derive insights from unstructured healthcare data and effectively communicate those insights to operational and clinical SMEs Bachelor’s degree in Data Analytics, Computer Science, Engineering, Mathematics, Statistics, or Public Health
Nice If You Have:
Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sourcesKnowledge of common data management and data infrastructure tools and techniques Ability to take the initiative and a proactive problem-solving approach Possession of excellent verbal and written communication skills, including explaining analyses to a variety of audiences to communicate project goals, plans, and progress Possession of excellent follow-up skillsMaster’s degree
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Senior Data Science Manager Pricing Promotions | Shopify |
You have:
Documented experience in pricing optimization and defining pricing strategy through advanced analytics and data science efforts.
Experience in driving customer growth through pricing optimization and experimentation.
Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions.
Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team.
Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders.
A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges.
It would be great if you have experience with:
Cloud platforms: Google Cloud Platform (GCP), AWS
Large-scale data-platform tools:
Data Storage and Access: HDFS, Presto
Data processing/integration: Kafka, Spark
Analytics Datastores: AWS Redshift, GCP BigQuery
Visualization: D3, Mode Analytics, Tableau
Programming languages: Python, Scala
SQL and debugging SQL queries
Analytical techniques:
Background in machine learning including experience implementing models at scale, including in the areas of price elasticity modeling and experimentation
Experimentation: A/B test design and analysis, quasi-experiments
Attribution-modeling
Forecasting
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
#LI-KO3 #LI-REMOTE #LI-AH1
|
Sr Data Science Manager Core Data Science Build | Shopify |
Sr. Data Science Manager, Core Data Science - Build
Americas
Data Science & Engineering
Apply now
About Shopify
Opportunity is not evenly distributed. Shopify puts independence
within reach for anyone with a dream to start a business. Since
2006, we’ve grown to over 10,000 employees and generated over $496
billion in sales for 2 million merchants in 175 countries. Every 28
seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people’s lives as
much as it transforms your own. This is putting the power of the few
in the hands of the many, is a future with more voices rather than
fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and
ambiguity—and a little bit of chaos. Shopifolk thrive on that and are
comfortable being uncomfortable. That means Shopify is not the right
place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyone
Excel by seeking professional and personal hypergrowth
Keep up with an unrelenting pace (the week, not the quarter)
Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
Bring critical thought and opinion
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work
About the role
Shopify is like an operating system for a merchant’s business. Like an operating system, it provides a lot of what each merchant needs out of the box, but merchants rely on the ability to customize Shopify to meet their particular needs. Those customizations are built by first and third party developers who make apps, themes, and extensions that virtually every merchant uses to power their business.
The mission of the Build team is to provide tooling, capabilities, and infrastructure to make all commerce developers highly productive and to enable them to solve problems for merchants globally.
We’re looking for a strong leader with a proven ability to partner with and be a part of product leadership teams.The Senior Data Science Manager will own projects whose scope impacts multiple disciplines and domains at Shopify. They are responsible for deliverables that have directional implications on multiple product or service lines in which they operate, and to build a strong data culture around them along with the individuals and leaders that report into them. Specifically, the Senior Data Science Manager will:
Define and guide the short-term and long-term data strategy for Core Data Science - Build
Partner with Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale
Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc)
Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies
Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment
Collaborate with peer leaders in the product line Data Science team, and the broader Data organization, to improve and drive the group-wide Data Science & Engineering vision
Qualifications
Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions
A demonstrated track record of attracting top data/analytics talent, developing high-performance teams, and a knack for keeping top talent happy, challenged, and impactful
Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team
Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders
A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges
Previous experience with developer ecosystems a plus
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
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.
Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no
background in programming or computer science. He’s now a
Director of Engineering. Spanning 10 jobs on 7 teams in 9 years,
Ben’s Shopify career path has twisted and turned as he’s worked
relentlessly to pursue a career as an engineer and adapted to
the pace of change—all fuelled by personal and professional
hypergrowth.
Our mission as a company is to spread entrepreneurship and help
individuals become their own bosses and take control over their
lives. I truly believe this mission and value in extreme personal
growth and development extends to what’s expected as a Shopifolk.
Shopify doesn’t like to tell people what to do. Not only is your
career in your own hands, a lot of your day-to-day is too, which
can be jarring for many people. To thrive here, you need to be
someone who’s willing to take big bets on yourself and figure
things out on your own.
Ben Cox
Director, Support & CX Engineering
Ben’s growth trajectory
2014-2016
A support advisor for 2 years
Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
Eventually became a software dev
2017-2019
Helped launch first finance product for merchants
Became senior dev and launched new support contact centre
Led a team as a dev manager
2020-2022
Scaled a team from 4 to 60+ as a senior dev manager
Became Director for Support and CX Engineering
We hire people, not resumes. If you think you’re right for the role, apply now.
Apply now
|
Senior Data Scientist Revenue | Shopify |
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.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply complex analytics and/or ML techniques with a focus on sales performance optmization.
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
#LI-DNI
|
Senior Data Scientist Revenue Acceleration | Shopify |
Back
Senior Data Scientist - Revenue Acceleration
Canada
Data Science & Engineering
Apply now
About Shopify
Opportunity is not evenly distributed. Shopify puts independence
within reach for anyone with a dream to start a business. Since
2006, we’ve grown to over 10,000 employees and generated over $496
billion in sales for 2 million merchants in 175 countries. Every 28
seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people’s lives as
much as it transforms your own. This is putting the power of the few
in the hands of the many, is a future with more voices rather than
fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and
ambiguity—and a little bit of chaos. Shopifolk thrive on that and are
comfortable being uncomfortable. That means Shopify is not the right
place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyone
Excel by seeking professional and personal hypergrowth
Keep up with an unrelenting pace (the week, not the quarter)
Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
Bring critical thought and opinion
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work
About the role
The Revenue Acceleration Data Science team drives Shopify’s go-to-market machine with data and insights. The team’s mission is to increase Shopify’s revenue and profitability and the team's impact is grounded in experiment-based findings.
As a Staff Data Scientist, you will use elements of analytics, machine learning, experimentation, and build data products to increase Shopify’s revenue and profitability.
Qualifications
You will need to have:
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Deep understanding of advanced SQL techniques
Experience designing and running experiments (e.g. A/B test)
Experience building data pipelines and driving ETL design decisions
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Experience working with commercial organizations (e.g. Sales, Marketing, Account Management, Support, etc…)
Experience building machine learning models (e.g. propensity models, recommendation system, etc…)
Experience setting up experiments in commercial organizations
Previous experience working at a large technology company
We hire people, not resumes. If you think you’re right for the role, apply now.
All your information will be kept confidential according to EEO guidelines.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no
background in programming or computer science. He’s now a
Director of Engineering. Spanning 10 jobs on 7 teams in 9 years,
Ben’s Shopify career path has twisted and turned as he’s worked
relentlessly to pursue a career as an engineer and adapted to
the pace of change—all fuelled by personal and professional
hypergrowth.
Our mission as a company is to spread entrepreneurship and help
individuals become their own bosses and take control over their
lives. I truly believe this mission and value in extreme personal
growth and development extends to what’s expected as a Shopifolk.
Shopify doesn’t like to tell people what to do. Not only is your
career in your own hands, a lot of your day-to-day is too, which
can be jarring for many people. To thrive here, you need to be
someone who’s willing to take big bets on yourself and figure
things out on your own.
Ben Cox
Director, Support & CX Engineering
Ben’s growth trajectory
2014-2016
A support advisor for 2 years
Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
Eventually became a software dev
2017-2019
Helped launch first finance product for merchants
Became senior dev and launched new support contact centre
Led a team as a dev manager
2020-2022
Scaled a team from 4 to 60+ as a senior dev manager
Became Director for Support and CX Engineering
We hire people, not resumes. If you think you’re right for the role, apply now.
Apply now
|
Senior Applied Scientist | Samsara |
About the role:
The Samsara ML/CV team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Applied Scientist, you will be a tech leader and key contributor in building scalable ML infrastructure and tools. You will work closely with scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.
In this role, you will:
Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Research, adapt, and apply cutting edge techniques in CV and deep learning
Optimize models for inference on the backend and/or on edge devices
Partner with our hardware teams to design devices for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Minimum requirements for the role:
BS or MS in Computer Science or other technical degree
4+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python)
Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
Experience deploying and iteratively refining models using customer feedback loops
Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies
An ideal candidate also has:
Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Experience building, deploying, and optimizing ML models on the edge
Experience building computer vision features
Expertise optimizing distributed model training with GPUs
|
Data Scientist Engineer | Kin Carta |
At Kin + Carta, we’ve got opportunities to offer you — for growth, for leadership, for big, world-changing impact and for, dare we say it, fun. We are a global workforce that is committed to building a world that works better for everyone. And that starts with our Kin. That’s why we’re proud of:
The life we create within our virtual walls, every day
Our B Corp certification
Our ranking in Consulting Magazine's 2022 “Best Large Firms to Work For”
The work we’ve done with some of the world’s most innovative companies
The role
Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Kin + Carta will provide a platform and training to help them reach their full potential.
Kin + Carta is looking to hire Data Scientists with all levels of experience; junior to senior-level. to join our growing capabilities team. If you are innovative, passionate about data and AI technologies, and look to continually learn and enjoy sharing expertise, read on!
Role responsibilities
Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
Communicate analytical findings in an intuitive and visually compelling way.
Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications
Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines
Architecting cloud data platform components enabling the above
Building and tracking project timelines, dependences, and risks
Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions
Minimum qualifications
We want all new hires to succeed in their roles at Kin + Carta. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.
Proven industry experience executing data engineering, analytics and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.
Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, R
Preferred qualifications
Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
Proficiency scripting in UNIX environment
Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
Proficiency with cloud architecture components (AWS, Azure, Google)
Proficiency with data pipeline software such as Airflow, Luigi, or Prefect
Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems
Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development
Experience leading and managing technical data/analytics/machine learning projects
About Kin + Carta
Kin + Carta is a global digital transformation consultancy committed to working alongside our clients to build a world that works better #ForEveryone. Our 2,000 curious minds make creative connections between people, data and technology to create connected outcomes across the full lifecycle of the product and platform ecosystems.
We’re makers, builders and creators by nature, and we come to work every day to build experiences for some of the world’s most influential companies. We help businesses accelerate their digital roadmap, rapidly innovate, modernize their systems, enable their teams and optimize for continued growth.
We are a technology business with trust and human connection at its heart. As a Certified B Corp, our triple bottom line focus on people, the planet and profit is at the core of everything we do.
We welcome our Kin to show up as their authentic selves every day. Because this is so important to us, Kin + Carta is proud to be an equal opportunity employer. To read further about our commitment to Inclusion, Diversity, Equity and Awareness, check out the IDEA page on our website.
If you need accommodations at any point in the application or interview process, please let us know.
|
Data Scientist | Zignal Labs |
About Zignal Labs
Zignal was founded in 2011 to help customers instantly see conversations and stories taking place across media. Originally conceived as a tool for political campaigns accustomed to media “war room,” Zignal now helps private and public sector organizations visualize and contextualize the global digital media environment to solve some of the world’s most challenging problems.
Trusted by top global news outlets such as The New York Times and The Wall Street Journal, Zignal is frequently called upon by academic institutions and the media to provide data-driven insight into some of the most important and nuanced emerging issues of societal concern - including the COVID pandemic, dis- and misinformation, consumer safety, political polarization, healthcare, digital security, and risk management.
Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers around the world. Learn more at zignallabs.com.
As a Data Scientist, in our Data Science and Innovation Labs team, you will work on data analytics and machine learning projects and will be involved in solutions from ideation through research and prototyping up to feature delivery including data quality measurements and improvements. You will rely on your Scala and Python coding skills to analyze a large amount of media data and build machine learning models and solutions. You will use Spark with Databricks, the AWS stack, including SageMaker with Ground Truth and S3, Elasticsearch, Neo4j, among your machine learning and NLP skills and apply them to several social media, news, blogs, broadcast, and other media sources to empower our users with key insights based on real-time analysis.
In this role, you will have the opportunity to:
Work as a member of our small, smart, and very nice Data Science Team.
Work closely with the Product Management Team and have direct impact on our product decisions.
Mine and analyze media data from various data sources to create and improve analytical insights, product-, and application features.
Play a key role throughout the whole feature life cycle starting with ideation, through PoC prototyping towards feature delivery, followed by continuous quality monitoring and improvements
In order to be successful in this you will need:
Masters degree in Computer Science, Mathematics or equivalent field with minimum 5 years of full-time work experience as a Data Scientist - or Bachelors degree with 8+ years of relevant experience
Strong problem-solving skills with an emphasis on product development
Excellent written and verbal communication skills for coordinating across teams
A commitment and passion to learn and master new technologies and techniques
Experience with a variety of machine learning techniques (feature extraction, clustering algorithms, classification, ensemble methods, neural networks, etc.) and their advantages/drawbacks
Coding knowledge and experience with several languages: Scala and/or Python
Experience with efficiently measuring the quality of solutions and suggest improvements
Experience with Spark, or at least one distributed data processing tools like: Hadoop, Hive, etc.
Familiarity with data quality measurement techniques, and processes
Plusses:
Advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Natural language processing techniques: parts of speech tagging, shallow parsing, constituency, and dependency parsing, named entity recognition, emotion and sentiment analysis
Computer vision and image analysis techniques
Graph analytics, large-scale graph algorithms
Why join Zignal Labs?
- Competitive salary based on the work you do
- Flexible time off – work with your manager to take the time you need
- Excellent medical, dental, and vision coverage
- Paid parental leave plan
- Professional development and growth programs
- A tight knit, collaborative, and transparent environment to help you succeed
Zignal Labs is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Applicants must be authorized to work in the United States for any employer. No sponsorship is available for this position.
|
Data Scientist Marketing | 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
At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions.
Think of the role as a full-stack marketing data science, using data to inform and guide marketing decisions. You will be responsible for the design and execution of best practices with regards to experimentation for email campaigns including selection, measurement and reporting of results to influence next steps. Engage in discovery work to identify opportunities to change the what/when/how of our current programs.
The role requires a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with stakeholders including but not limited to finance, data science, marketing. Familiarity with campaign management and marketing will be helpful.
The Impact You’ll Make
You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we communicate to a high volume of people. Your work will come to life through strategic/analytical thinking, operational excellence and creatively solving complex business problems. We will want you to want to own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion. Defining success metrics that capture performance and identify actionable insights
Your responsibilities will include:
Developing actionable segmentation
Best-practise experimentation to give us reliable insight
Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies including MarTech, marketing managers and wider data science teams
Campaign management
Identify where we can invest in 3rd party data to enrich our decision making capabilities
Build out required performance measurement tools and dashboards
Educate stakeholders by explaining the “Why” behind the “What”
What You’ll Bring To The Team
2+ years of expertise in quantitative analysis, ability to tell a story backed by data using data mining methods
2+ years of experience using in-depth applied statistics and analytical experience in partnership with Marketing teams to optimize decision making
Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analysis
Familiarity with experiment design and A/B test analysis including measurement selection
Can communicate effectively with a range of stakeholders
Curiosity for discovery and creativity in solving complex challenges
Bonus Points
Experience building predictive models using machine learning algorithms
Familiarity with marketing in the B2B space
Experience with complex attribution solutions
Worked with data vendors to enrich data
Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices
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.
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 $90,000 to $170,000 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.
Importantly, the compensation for this role also includes a variable incentive component, which will vary depending on your achievement of sales-related goals and objectives.
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
|
Senior Data Scientist Optimization | Edward Jones |
Want a meaningful career where you can make a difference? Edward Jones sounds perfect for you.
Collaboration. Autonomy. Opportunity. Words our headquarters associates use when talking about working at Edward Jones. Words that describe what it’s like being part of a firm where everyone is aligned toward a singular focus: serving the client. And everyone is working to make the firm better together – as they grow as individuals. If these words resonate with you, we should talk.
Job Overview
Skills/Requirements
Awards & Accolades
About Us
Position Schedule: Full-Time
If you thrive in a collaborative environment, have a learning mindset, and can communicate complex ideas in a straightforward way, this could be the role for you to make a real impact.
Join the Firm Analytics team and help us unlock the power of data science to solve a wide range of business challenges and improve the people-experience through data-driven capabilities and insights. As a Senior Data Scientist focused on optimization, you’ll work closely with business partners to learn about financial...
Read More About Job Overview
|
Business Intelligence Architect | Cityblock |
About Us:
Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.
Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.
In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.
Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.
Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.
Our Values:
Aim for Understanding
Be All In
Bring Your Whole Self
Lean Into Discomfort
Put Members First
About the Role:
Cityblock’s Business Intelligence team is on a mission to enable data-driven decision making across the Organization. This role will be at the forefront of this initiative, by implementing greater governance over our business intelligence platform. You will design and develop the platform, helping us effectively and rapidly scale to meet company goals, as well as partner with internal stakeholders to derive insights from the data.
Healthcare data is complicated, so you must be excited about digging deep into complex data, and coming up with interesting, actionable insights to communicate to the team. Behind every data element is a real person, with real problems that Cityblock is working hard to address, and the Data team is responsible for delivering accurate and timely information to steer these efforts.
If you like hard problems, have experience pulling insight out of complex structured and unstructured data sources, and are an amazing teammate, we want to hear from you!
Requirements for the Role:
Bachelor's degree in quantitative disciplines such as Economics, Mathematics, Computer Science, or Business Master’s degree strongly preferred.
You have 5+ years experience in business intelligence; designing end to end BI solutions, with an emphasis on data modeling, semantic layer design and also developing metrics, dashboards and strong technical documentation
You have rock solid data architecture and design skills including dimensional modeling for BI
You are an expert SQL programmer, with experience navigating complex data landscapes, profiling and cleaning messy data at scale
You have extensive experience leading data and requirements conversations then translating business concepts into scalable data models
You have a deep understanding of query and analytics tools, and are knowledgeable in advanced data analysis techniques such as predictive modeling and machine learning
Possession of strong analytical/statistical skills used in evaluating and analyzing data
You have the ability to balance competing priorities and set expectations with colleagues and stakeholders in a fast-paced environment
You have deep experience with healthcare data (eg claims, EHR, HIE feeds, etc) and standard clinical metrics and taxonomies (DRGs, total cost of care, HCC, etc)
Are detail-oriented and organized, but able to see the big picture and the bottom line
Experience developing and maintaining metrics and dashboards using BI tools like Looker/Tableau/PowerBI
Adapt easily and quickly to changing business priorities and technologies
What We’d Like From You:
A resume and/or LinkedIn profile
A short cover letter, please!
Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
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We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.
We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for: health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $121,303.00 to $155,317.24. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location.
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Senior Data Scientist Nlp Cto | 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 Senior 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.
Responsibilities
Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
Own the end-end process, from recognizing the problem to implementing the solution.
The ability to read a paper and implement the ideas proposed therein.
Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem.
Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.
Skills and Qualifications:
14+ years of experience.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall 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, 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 lead on multiple projects.
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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Lead Data Scientist | Tala |
About Tala
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for five years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 7 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
We are looking for a Lead Data Scientist interested in solving one of the world's biggest problems: financial inclusion. As a Data Scientist you will lead predictive machine learning and causal inference based initiatives that drive improvements in customer experience, operational efficiency, and recovery. You will own the modeling cycle through design, prototyping, development, deployment, and after-sale monitoring, with keen focus on business outcomes and stakeholder management. As a tech lead you will orchestrate the business’s most complex and impactful machine learning and causal inference solutions that require multi-person teams to build and operate. You will deliver external communications via blog posts, conference proceedings, publications, and talks.
What you'll do:
Embed with business stakeholders to identify, test, and implement data science solutions that drive business and customer success. Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.
Own full-cycle of machine learning and causal inference products from ideation and training through deployment into our production environment – including real-time inference – and after sales service. Obsess over delivered products, iterating rapidly if necessary.
Become a multiplier for data science team by sharing work, mentoring junior team members, providing technical feedback, scoping work, and developing work into shared team tooling.
Be a thought partner for the business. Leverage data insights and strong communication skills to influence company strategy.
Qualifications:
6+ years of experience in a data science role or equivalent position.
2+ years in a tech lead position leading the execution of end to end machine learning and causal inference solutions for business stakeholders.
Fluency with Python and packages related to machine learning and causal inference.
Comfort with SQL.
Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring. Demonstrated business value in previous roles.
Competency with statistics. Knowledge of experimental design and analysis basics.
Strong collaboration and communication skills. Ability to tell stories through data and effective visualization.
Ability to thrive in at times ambiguous and complex environments.
Desire to champion simple, correct, and hardy systems.
Sophisticated interpersonal, planning, and communication skills.
Preferred Skills & Experience:
Experience deploying real-time model inference/scoring systems.
Strong desire to become a better software developer.
We strive to provide Talazens and their loved ones with a holistic benefit experience! We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
Competitive compensation programs with stock/equity program
Flexible work environments and Hybrid/Remote-first work model
Medical (HMO, PPO, HSA), Dental PPO, Vision, FSA, DC FSA
Employer paid Life w AD&D, Short Term and Long Term Disability
401k and Roth 401k
Voluntary benefits like critical illness, accident, life, and pet insurance
Employee Assistance Program
Paid Holidays, Unlimited PTO, Wellness/rest “sloth days”, Paid Parental leave, Birthday Holiday, Life Event Days off, paid sabbatical after 5 years of service, and more
Health and Wellness events and seminars
Salary Range: $185,000- $235,000
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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Sr Applied Data Scientist Media Mix | 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.
Job Description
Are you interested in using data science to solve new and challenging problems in innovative ways — like helping a media conglomerate measure the impact of their marketing and advertising campaigns to optimize investments across a wide range of media channels? Civis Analytics is looking for a Sr. Applied Data Scientist to join our commercial Applied Data Science (ADS) practice and help us solve some of the most challenging and interesting questions facing Media businesses today.
The Applied Data Science team is the advisory arm of Civis Analytics, working closely with organizations to help solve their toughest challenges with data science. Our Media sector practice provides data science solutions for media conglomerates, nonprofits, and advocacy groups seeking to leverage media-mix-modeling to reach their target audiences in the most effective way.
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, modeling techniques, and data management methods, and working with cross-functional teams of data scientists and software engineers where necessary to create and implement solutions
Managing the unification of large 1st- and 3rd-party datasets, and building predictive models
Translating findings into clear, actionable, and timely insights with the appropriate business context
As part of the Media sector practice:
Work closely with Applied Data Science teams to develop performance measurement reporting and media mix modeling to demonstrate the impact of cross channel activities through media
Influence and collaborate on channel-level media strategies based on marketing, audience, and consumer insights.
Collaborates with stakeholders and leadership to ensure that the most effective channel mix is implemented to achieve our customer’s strategic business priorities
Other job responsibilities include:
Creatively identifying opportunities in the solution delivery process for scalable applications, and collaborating with other teams to further construct these tools
Assisting with 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
Qualifications
Bachelor’s degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
6+ years of work or post-graduate experience in a field of analytical science
Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
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 Microsoft PPT, Tableau, Shiny, etc.
Excellent interpersonal and communication skills
US work authorization
Preferred Qualifications
Experience framing and communicating analytical results to stakeholders at a variety of levels
SQL experience
Experience working in a consulting or advisory function
Experience mentoring more junior members of a team
Practical understanding of and experience with predictive analytics, machine learning, and/or causal inference
Familiarity with software development tools and practices (Git, code review, etc.) Competencies
Experience in designing and analyzing in-market survey research
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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Director Data Science And Machine Learning | Medarrive |
MedArrive is a fast-paced and fast-growing start up on a simple mission: Improving people's lives by bringing more humanity to healthcare. Our enemy is an often soulless, transactional healthcare system that’s increasingly engineering the vital human touch away from the experience - and often hard to access.
We are looking for a seasoned data scientist to catalyze a data-driven product and service culture at MedArrive.
As our Director of Data Science and Machine Learning, you will own the data and analytics substrate that forms the intelligence layer powering our entire platform. You will do so balancing the need to set up a framework that scales to our future ambitions while meeting our more immediate market and customer needs. Reporting to the CTO, you will be responsible for nurturing and building out a high performing remote data science and machine learning function, including data, ML, and analytics engineers as well as data scientists. You will work with amazing colleagues, brainstorm new ideas, and develop data processing techniques, models, algorithms and visualizations to solve challenging problems and communicate insights that have a substantial impact.
Our goal is to create a platform and eventual marketplace for in-home medical support in a complex, multi-stakeholder industry. Our platform and apps are deployed in AWS, with our data infrastructure largely built out of DataBricks using Scala, PySpark, and Python. Our intelligence layer - an extension of our data infrastructure - leverages both predictive and prescriptive analytics techniques to orchestrate actions across patient journeys and applications. Our end-users are internal Cx & Clinical staff, consumers/patients, field providers (EMTs, Paramedics, etc.) and staff at healthcare organizations (hospitals, health plans).
What you'll do:
Ongoing stewardship of MedArrive’s Technology Strategy and Plans
Partner with the rest of the platform leadership team to ensure the overall technology roadmap and backlog supports business direction and priorities.
Forge the long term vision and direction for the MedArrive Intelligence Layer (underlying data, analytics & services that power the platform)
Own planning, design and execution to keep moving forward towards a scalable data & analytics platform and efficient data pipelines in MedArrive’s AWS Footprint.
Drive strong execution against roadmap
Partner with leaders and stakeholders across the business to investigate, prioritize, and deliver impactful data products, machine learning models, and analyses.
Develop, collect and maintain structured and unstructured data sets for analysis and reporting. As needed, Identify and apply methods to acquire, explore, cleanse, and fuse data from different sources.
Continually monitor and adjust as needed to balance between long term and near term needs, tech debt and new capabilities, while inspiring the team to bring their best selves to and be engaged in their work at MedArrive.
As needed, directly handle high-impact projects.
Understand and manage stakeholder expectations within the team and across the organization
Solidify and scale the MedArrive Data Science & Engineering Culture and Practice:
Manage the development lifecycle, using data to drive continuous improvements, with a strong focus on meeting the team’s commitments given evolving business priorities and market/ customer needs.
Lead definition and implementation of competency definitions at every level, and align with recruiting initiatives.
Drive ongoing improvement in functional excellence and best practices (design sessions, code reviews, automation, etc.)
Above all, lead the team responsible for this Platform, evolving it into a high-performing team of Data Scientists & Machine Learning Engineers over time.
What you'll need:
7+ years of hands-on experience in a Data Science/Engineering or Analytics role at commercial technology or technology-enabled services companies.
Bachelor’s Degree in Mathematics, Computer Science, Economics (or related field)
Demonstrated expertise with data science methods, multivariate statistical modeling, neural network architectures, machine learning algorithms and production level programming principles. Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
Demonstrated ability to apply programming skills to data acquisition, preprocessing, modeling and monitoring as well as proficiency with common data science/analytics software languages & tools (e.g. Python, SQL) and cloud computing platforms (e.g. Amazon Web Services).
Ability to distill data-driven insights through informative visualizations & analytical communications
Preferred qualifications:
5+ years experience working with healthcare data in enterprise/ consumer space.
Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale.
Advanced quantitative degree (Statistics, Mathematics, Economics, Data Science, Computer Science or related field)
Proficiency and extensive experience with DataBricks
Proficiency with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar).
Extensive experience working with healthcare data (Claims, Clinical, etc.)
Experience with libraries such as Pytorch, TensorFlow and Keras
Experience working with large datasets (Hadoop/Spark preferred)
More about us
MedArrive exists to expand access to care, drive efficiency, and reduce healthcare expenses. We enable healthcare payers and providers to seamlessly extend care services into the home, unlocking access to high-quality healthcare for more people at a fraction of the cost.
Our logistics and care management platform allows providers and payers to bridge the virtual care gap, integrating physician-led telemedicine with in-person care from EMS professionals, Nurses, Community Health Workers, Phlebotomists, and more. As a result, patients can access trusted medical expertise from their homes' comfort and safety without interruption to the continuity of care, ultimately resulting in better patient outcomes, a better-utilized healthcare workforce, and significant cost savings for patients and providers alike.
MedArrive has more than 50k highly-skilled "Field Providers'' including EMS professionals in its national network, and services span dozens of clinical use cases, including complex condition monitoring, transitional care and readmission prevention, vaccinations and immunizations, medication administration and much more.
MedArrive is a proud Equal Opportunity Employer – we recruit, train, compensate and promote our team members based on qualifications. We know how important it is not only to include, but to actively seek out a diversity of opinions and voices.
We want to hear from you regardless of your race, religion, national origin, sex, gender identity, sexual orientation, disability, age, veteran status, or any other applicable legally protected characteristics.
For candidates living in Colorado and/or New York, the expected total compensation (includes base salary, bonus and equity) is $190,000 - $300,000 range , depending on a variety of non-discriminatory factors, including qualifications, experience, and geographic location.
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Senior Data Scientist | Progress Leasing |
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE:PRG), an exciting FinTech holding company, with three business segments including Progressive Leasing, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.
We are currently hiring a Senior Data Scientist to help grow our company and ensure our mission is achieved!
This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.
WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.
YOU ARE: A driven analytics professional. As a Senior Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry.
YOUR DAY-TO-DAY:
Work with a team of Data Scientists and Data Analysts to deliver innovative enhancements to a portfolio of products with high impact both to the company’s financial success and to the lives of our customersBuild, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantageExplore new data sources both internal and external to Progressive and use findings to further improve and optimize model performanceDesign, implement, and read in-market experiments testing new algorithms, technologies, and processes to better serve our customer and stay ahead of the competitionRecommend and support strategic business changes through rigorous analytics, deep understanding of the business, and creative problem solvingIdentify, evaluate, and help implement emerging advanced analytics technologies and methodsBe part of a collegial, fast-growing team of like-minded data scientists who work and play together, and who love what they do and where they do it!
YOU'LL BRING:
Master’s degree in a quantitative or technical field (Math, Statistics, Engineering, Economics, Physics, Computer Science, etc.)3+ years work experience with data exploration and machine learning tools such as those found in R or Python3+ years work experience applying advanced statistical modeling techniques to solve problemsAbility to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needsDemonstrated ability applying advanced statistical modeling techniques to solve problemsAbility to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needsTrack record of achieving business results through creative problem solving and careful implementation
YOU MIGHT ALSO HAVE:
Advanced knowledge and experience with querying languages (SQL, etc.)Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps
WE OFFER:
Competitive Compensation; Eligible for STI + LTIFull Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental LeaveCompany Matched 401kPaid Time Off + Paid Holidays + Paid Volunteer TimeDiversity Alliance Resource GroupsEmployee Stock Purchase ProgramTuition ReimbursementCharitable Gift Matching Job Required Equipment & Services Will Be Provided
Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.
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Associate Data Scientist | Progress Leasing |
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE:PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.
We are currently hiring an Associate Data Scientist to help grow our company and ensure our mission is achieved!
This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.
WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.
YOU ARE: A driven analytics professional. As an Associate Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry.
YOUR DAY-TO-DAY:
Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantageExplore new data sources both internal and external to Progressive and use findings to further improve and optimize model performanceDesign, implement, and read in-market experiments testing new algorithms, technologies, and processes to better serve our customer and stay ahead of the competitionPrototype solutions to business problems using cutting edge technologies like Shiny to drive immediate business impactsRecommend and support strategic business changes through rigorous analytics, deep understanding of the business, and creative problem solvingIdentify, evaluate, and help implement emerging advanced analytics technologies and methodsBe part of a collegial, fast-growing team of like-minded data scientists who work and play together, and who love what they do and where they do it!
YOU’LL BRING:
Bachelor’s degree in a quantitative or technical field (Math, Statistics, Engineering, Economics, Physics, Computer Science, etc.)Strong analytical problem-solving abilityExperience with data exploration and statistical tools such as those found in R or PythonDemonstrated ability applying advanced statistical modeling techniques to solve problemsAbility to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needsTrack record of achieving business results through creative problem solving and careful implementationAbility to travel ~10% of the time
YOU MIGHT ALSO HAVE:
Advanced knowledge and experience with querying languages (SQL, etc.)Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps
WE OFFER:
Competitive CompensationOpportunity to advance on the data science and/or leadership trackFull Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental LeaveCompany Matched 401kPaid Time Off + Paid Holidays + Paid Volunteer HoursEmployee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante)Employee Stock Purchase ProgramTuition ReimbursementCharitable Gift MatchingJob required equipment and services
Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.
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Senior Data Scientist Decision Engine | Perchhq |
We are looking for a Data Scientist to build out our pricing, forecasting, and advertising algorithms that allow Perch to grow our brands at scale. Sitting within our Decision Engine team, the ideal candidate will have 2+ years of data science experience working on causal inference, classification, or time series prediction problems, and has worked in a production environment workflow. The person filling this role should have strong analytical skills and business acumen to advance our strategic thinking beyond just building machine learning models.
Responsibilities
Use observational data and generate experimental data to estimate pricing and advertising lever impact on demand.
Develop models to predict elasticities for new products, channels, and markets.
Work closely with Growth team product managers, engineers, and data analysts to carefully curate high dimension time series data sets that unlock new insights.
Consult with other analysts within the Growth team to aid in improved causal inference and in identifying opportunities for data science solutions.
Build the engine that surfaces causal and demand estimates to marketing, supply chain, and business leaders to improve the business response to changes in market demand.
Evangelize rigorous data driven decision making across Perch to elevate the business.
Develop deep expertise in the inputs that feed pricing logic and identify opportunities to improve accuracy.
About You
You have a B.S. in a quantitative field from a top rated program. Building optimization solutions, data pipelines, and analyses in python comes as second nature. You are thrilled to engage in brainstorming of economic hypotheses and can’t wait to dive into the data to validate or invalidate your ideas. You recognize the pursuit of better and cleaner data never ends, but brings great value to your work. Most importantly, you seek to innovate, to do what has not been done, and to measure what has not been measured.
About Us
Perch is one of the fastest growing eCommerce companies in Boston. Perch acquires and develops great ecommerce brands. We are backed by amazing investors (SoftBank, Spark Capital, Tectonic Ventures, and Boston Seed). Our team has deep expertise in ecommerce, technology, and M&A. We are disrupting one of the largest and most exciting spaces of ecommerce and are building an industry-shaping platform. Our aim is to have a workplace and company that positively impacts the lives of others, including our employees, their families, the entrepreneurs and vendors we work with, and our end customers.
Perch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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Energy Data Scientist | Energy Hub |
EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices like thermostats, electric vehicles and batteries.
Coordinating all of these devices to forecast and deliver grid services for the electricity industry requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Data Science and Power Systems Intelligence team. As an Energy Data Scientist you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy. The algorithms and data management software systems that you contribute to will become core to the foundation of a future with carbon-free and distributed energy.
Main Responsibilities
Drive the development of algorithms and software tools for enabling advanced grid services from fleets of distributed energy resources
Write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data
Work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders
Work closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams
Key Skills and Experience
A passion for enabling a carbon-free, distributed energy future
Ability to find valuable insights in large, complex datasets
Experience with Python and the scientific stack (pandas, numpy, scipy)
A practical understanding of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow
Ability to explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable
You have fun working on really hard problems with really smart people
Preferred Skills and Experience
Power systems expertise, including three-phase distribution network modeling
Experience developing control and optimization solutions for distributed energy resource problems
Experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
A strong background in mathematics and statistics
Experience bringing long-term research projects, such as an MS or PhD thesis, to a successful conclusion
The salary range for this position is $120,000 - $150,000. Base pay offered may vary depending on job-related knowledge, skills and experience.
Why work for EnergyHub?
Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning challenges, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.
Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what’s also important is how our employees feel every single day.
Company Information
EnergyHub is a growing enterprise software company that works with the most forward-thinking companies in smart energy. Our platform lets consumers turn their smart thermostats, electric cars, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to millions of people through partnerships with the leading companies in the Internet of Things.
Company Benefits
EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.
EnergyHub is an Equal Opportunity Employer
In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Data Scientist Forecasting Us | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Data Scientist with a statistics and economics background who can work on banking deposit products and forecast fund Flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Applied Data Scientist Senior | Amperity |
Amperity is more than just the leading customer data platform — THE PEOPLE bring energy, smarts, and experience from all different backgrounds, reflecting our commitment to diversity, equity, and inclusion. THE TECHNOLOGY is multi-patented, AI-powered customer data management software that we invented to help solve problems that have been frustrating consumer brands for years. THE OPPORTUNITY is to hitch your career to a rocket ship. We're addressing a critical market need: helping hundreds of leading brands make sense of massive amounts of transactional and engagement data so that they can understand their customers and provide experiences that delight while boosting the consumers and move the business metrics that matter. Come help us make it happen!
Interesting Problems
The Data Science team identifies, designs and implements algorithms that lie at the heart of Amperity's products. We focus on a few areas:
Identity matching: deduplicate and cluster billions of records to their underlying identities daily. Our customers use our predictions to create a personalized experience for their customers at every touchpoint.
Predictive scoring: With unified and enriched customer profiles (thanks to our entity matching algorithms), we build advanced customer-centric models to predict metrics/behaviors such as customer lifetime value, customer churn, product recommendations, and event propensity.
Causal Research: Causal inference helps marketers and analysts understand the impact and causality of marketing outreach. Our product should not only let them create campaigns and run experiments, but also learn the causal impacts of previous actions and provide optimization recommendations to achieve desirable outcomes more effectively in the future.
In addition to algorithmic development, we value sharing our findings with the broader data science community. We publish our research findings in top-tier peer-reviewed publications, engage with fellow data scientists by speaking at internal and external conferences, and also hold several patents focused on our core IP.
About You
We are looking for a versatile data science leader who can go deep to obtain useful insights for our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think independently and solve hard problems. If you are passionate about developing applied data science methodologies to help the world's most loved brands use their data to better serve their customers, and you are looking for a fun place to work, you should apply!
Qualifications:
Undergraduate degree in a quantitative discipline (e.g. statistics, mathematics, operations research, or computer science)
3+ years of Machine Learning modeling experience in a product company.
Experience in deploying and managing ML models at scale in production at scale
Familiarity with a broad set of supervised and unsupervised ML approaches and techniques, ranging from Regression to Deep Neural Networks.
Experience applying ML-based solutions to complex problems in business, science, or engineering.
Proficiency in model development, model validation and model implementation.
Fluency in more than one programming language such as Python, Scala, Java, etc.
Experience with common data science toolkits such as Scikit-Learn, Spark ML.
Proficiency in using query languages such as SQL.
Familiarity with data structures, algorithms, distributed computing (e.g. Spark, Map-Reduce, Presto), and cloud storage systems
Knowledge in at least one of these areas: data integration and cleaning, entity matching, probabilistic databases, predictive analytics for marketing, or causal inference.
Experience with fast prototyping - quickly translating business problems into data modeling problems, collecting and analyzing datasets, and building ML prototypes before implementing in production.
Summarize complex ideas for both technical and non-technical audiences. Good communication skills in conducting code reviews, writing technical documentation, and giving internal and external presentations.
Compensation
Base Salary: $185,000 - $225,000 This range reflects the good-faith hiring base salary range for this position. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
Stock Options: The opportunity for ownership is an exciting part of Amperity's total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
Benefits
We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence.
Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
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Data Scientist | Vendr |
About the Role:
We are looking for analytics professionals to join our Vendr Data Science and Analytics team. Our responsibilities include driving operational performance through KPIs and dashboards, as well as developing visualizations which offer relevant insights both within the Vendr products and for marketing and public relations. Data is central to Vendr’s success and your role will be directly relevant to the company value proposition.
You are someone who is self-taught, passionate about getting the right answer, and has experience with data: diving in, testing hypotheses, developing visualizations, and telling relevant stories. You enjoy sharing these insights with others in the organization, and look to be challenged and grow by engaging in a small team of data professionals who are each on their own growth journey. We operate without significant silos and boundaries, and expect you to participate with flexibility and openness as part of a team which values teamwork and takes pride in individual mastery. You will be expected to develop your own positions and approaches and bring to the team recommendations on how to proceed with your work.
Responsibilities:
Use data to drive operational improvements including development of KPIs, targets, dashboards, and visualizations which can complement lean operational processes and improve throughput time and client value.
Develop visualizations usable in product to facilitate operational teams and customer self-service
Support client data requests meticulously and efficiently while proactively developing systems and tools to minimize ad hoc requests
Drive self-service of data by developing data sources, enhancing data dictionaries and other contextual information, and organizing data sources and dashboards to guide users to relevant tools.
Training clients and new team members in data exploration, visualization and dashboard development.
Conducting analytical exercises required to support clients and stakeholders requiring customized solutions.
Consult and develop concepts with operational stakeholders and product teams.
Develop and maintain business operating dashboards and metrics.
Identify, validate and integrate new data sources which enhance business value.
Contribute to a culture of data quality, reliability and relevance.
Review SaaS tools which can extend the team’s capabilities.
Protect customer data proactively.
Participate in team activities ranging from daily standups to roadmaps, prioritization, timelines, skill development, and occasional meetups.
Requirements:
2+ years experience in data analysis, statistics, or quantitative applications and development
Quantitative and analytical skills exhibited through ability to dive deeply into data and discover patterns and relationships not captured by statistical summaries
SQL
Experience with python or r, visualization tools, and statistics
Problem solving skills
Enthusiasm about the hard work required to broaden your technical skill set (pandas, sklearn, visualization tools), your operational skill set (agile and lean), your knowledge of SaaS (Vendr’s domain), your business and economics skills, and your interpersonal skills
Preferred:
Academic degree in statistics, mathematics, economics, social sciences, engineering, operations research, computer science or related field
Python or R expertise
SQL expertise
Data modeling experience
Dbt experience
Tableau and/or Looker experience
Visualization - not just “how to” but also “best practice”
Statistics (esp. Bayesian statistics)
Machine learning models
Forecasting models (such as Prophet)
AB Testing
Open source development
Excel (Google sheets) pivot tables
Business acumen
Economics and finance
Stakeholder management and client communication
Passion for learning
Self-directedness
#LI-REMOTE
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Principal Data Scientist | Devoted Health |
At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, and technology. We want to throw the long ball with people we love for a cause we believe in. Life is short. Join us.Job DescriptionWhy Devoted:Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.A bit about this role:The Principal Data Scientist will serve as a crucial partner to our member focused teams, using data to answer important questions about the effectiveness of these teams and the impact of their communication on members. This individual will build robust data pipelines that underpin our products and operations; and foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual 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.In this role, you will power the insights that enable several business teams to intelligently engage with our members, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to our members’ experience and drive key initiatives. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as forecasting and experimental design.Healthcare experience or previous experience driving Data Science initiatives is a PLUS.Responsibilities will include:
Working closely with key business stakeholders to meet 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 the speed and accuracy of our processes
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
3+ years of working on Data Science initiatives for a member focused team
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; such as predictive modeling and experimental design to influence the business
#LI-BC1#LI-RemoteDevoted 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.
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Senior Data Scientist Ml Engineer | Mcafee |
Job Title:
Senior Data Scientist/ ML Engineer - Remote
Role Overview:
We are looking for a Senior Data Scientist (ML Modeling & ML Engineering) who will be part of a critical and highly visible role to join our team of Data Scientists. Are you looking to make an impact in Data Science and Analytics? Come be a part of the change as we move into a new era here at McAfee. Mission driven, both at company and functional level, we share a passion for customers at the core.
You will report to the Senior Manager of Data Science, Machine Learning. Machine Learning is starting to empower McAfee's customer experience and personalization, paving for a huge opportunity to drive innovation and growth - it is a great time to jump in!
This is a remote position based in the United States. We will only consider candidates in the United States, and we are not offering relocation assistance at this time.
About the Role
Develop, implement, and deploy machine learning models that leverage our unique combination of threat data, user behavior and subscription data to improve consumer value from our products.Deliver data based intelligent personalization in all our touch points consumer including marketing, product, and customer service. Mine, analyze and build predictive and descriptive machine learning models on structured and unstructured data sources.Utilize code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve business problems.Apply or design highly innovative models for predictive learning, forecasting, recommendations, content ranking, and anomaly detection.Use machine learning to help us anticipate and cater to consumer's personalized needs for threat protection.Use data and machine learning to create differentiated and personalized experiences for consumers across multiple touch points with McAfee.Create algorithms for optimizing consumer journey and increasing conversion and monetization.Perform statistical analysis on the outputs of these machine learning models to help update, re-train, and then deploy new ML models.Contribute to the creation, deployment, and scaling of machine learning and predictive algorithms in a production environment.Help identify new opportunities for applying machine learning and statistics-based models for improved customer and business outcomes.
About you
You will have 6+ years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.M.S. or PhD in Computer Science or Machine Learning related degree; or equivalent work experience in the field.Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.You will be proficient with designing, analyzing, and troubleshooting controlled experiments (Causal A/B tests, Multivariate tests).Knowledge mentoring team members in the use of data science tools such as R, Python, SQL, MapReduce, Hadoop, Hive and Big Data technologies.Experience with applied machine learning (like scikit-learn) and deep learning frameworks (like Kera’s, tensorflow or PyTorch).Experience in optimization mathematics (linear programming, nonlinear optimization)You will work with large amounts of structured and unstructured data in a consumer facing online business.You will have algorithmic problem-solving skills and practical experience with machine learning.You will work with natural language processing (NLP), text mining, statistical modeling, and hypothesis testing.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program401k Retirement PlanMedical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability CoveragePaid Parental LeaveSupport for Community Involvement14 Paid Company HolidaysUnlimited Paid Time Off for Exempt Employees96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
The starting pay range for this position is $90,500.00-$149,000.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
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Data Scientist | Mcafee |
Job Title:
Data Scientist- Remote
Role Overview:
As a Product Data Scientist at McAfee, you will be developing analyses and insights to support product decision-making via A/B testing and advanced analytics. You will analyze feature adoption, product engagement, retention, product funnel plus other pertinent aspects of product launch and operation.
This is a remote position in United States. We will only consider candidatescurrently in United States and are not offering relocation assistance at thistime.
About the Role:
Conduct data analysis and ML modeling to extract insights and improve customer experience.Analyze user journey and product funnel to optimize user experience with McAfee products.Assists business with casual inferences & observations with finding patterns relationships in data.Work with experimentation data scientists to design and execute A/B testing.Isolate, identify and communicate data issues and own data quality for the analyses and reports produced.Monitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise.
About you:
3+ years of industry experience in data science and analytics.Self-motivated, responsible, collaborative, and accountable.Experience with causal inference methods, such as difference in difference, matching, regression discontinuity designs, instrumental variables, including an understanding of different treatment effects.Experience with the design and analysis of A/B testing.Experience applying ML in product use cases.Ability to develop confidently in SQL and Python.Previous product analytics experience where telemetry data was used to understand how customers interacted with a product or service, which features were most used, and what experiences led to customer friction or trouble.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program401k Retirement PlanMedical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability CoveragePaid Parental LeaveSupport for Community Involvement14 Paid Company HolidaysUnlimited Paid Time Off for Exempt Employees96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
The starting pay range for this position is $79,000.00-$129,625.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
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Senior Data Scientist | Gofundme |
Want to help us, help others? We’re hiring!
GoFundMe is a global community of over 100 million people with the 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. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $25 billion since 2010. Our vision is to become the most helpful place in the world.
Join us! The GoFundMe team is searching for our next Senior Data Scientist to help our Data Insights team to work primarily with the product development and management teams.
The Job…
Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations
Proatively identify gaps and opportunities for marketing teams to optimize existing and create new marketing experiences/campaigns
Develop creative yet statistically sound methods of measuring the performance and incremental impact of marketing campaigns
Advise on the design of AB tests and analyze/present results
Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, etc end to end through scoping, researching, prototyping, and productionizing
Create and monitor KPIs
Mentor more junior team members
Develop dashboards and perform ad hoc analysis
Perform light ETLs as needed for the role
You…
5+ years of experience building impactful data analytics and science projects
Experience with marketing measurement tools such as media mix modeling and multi-touch attribution
Advanced ability to perform data segmentation and manipulation directly using SQL and Python or R
Experienced in working with large granular enterprise datasets, web clickstream and marketing/media dataset experience preferred
Strong familiarity with statistics and ML packages and using those to derive business insights
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 collaborating with data engineering teams to design scalable and future-proof instrumentation
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.
The total annual salary for this full-time position is $125,000 - $170,000 + equity + benefits. As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range based on your location during the hiring process.
Learn more about GoFundMe:
GoFundMe 2022 | Year in Help
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality
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Data Scientist | Descartes Labs |
The Company
Descartes Labs Government (DLG) is a dual-use data intelligence company. Through our patented SaaS technology stack, we rapidly prototype data-as-a-service and insights-as-a-service solutions for government customers. By leveraging our AI/ML, data fusion, data analytics, and data science expertise with our patented foundational GEOINT technology, DLG creates solutions that give operational advantage to a variety of mission use cases.
DLG is proud to be a remote-first, distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. While embracing a deliberately distributed, 100 percent remote workforce, candidates for this position must reside in the Washington, DC area which will provide them better access to our customers and technology necessary to source for business opportunities. We focus on helping our employees produce positive outcomes and we recognize that the path to getting there will look different for everyone.
The Role:
DLG is on the path to empowering our customer organizations with predictive intelligence and data-driven decisions. We are looking for an experienced Data Scientist to join our team. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with customers to improve outcomes.
Top Secret Clearance is preferred.
Your Impact:
Mine and analyze data from public sources, derived analytics, or customer provided databases to drive optimization and improvement of product development and customer mission.
Carry out and provide support to scientists designing data collection, data analysis, and interpretation of complex datasets to enable our data-driven services and solutions.
Develop custom data models and algorithms to apply to data sets.
Collaborate with other scientists and engineers in developing models to characterize, diagnose and/or predict patterns related to mission problem sets.
Actively participate as a member of a cross-disciplinary team, openly communicating your ideas, insights, and feedback and helping to continuously improve processes.
What You Bring:
Demonstrable experience with AWS services like S3, Lambda, Fargate, Batch, SageMaker, API Gateway, Athena, RDS, DynamoDBExperience writing clean, efficient Python code involving ETL processes, data manipulation, and standard data science packages (e.g., PyTorch, matplotlib/plotly, shapely, NumPy, Pandas, SKlearn, TensorFlow).
Experience in creating, optimizing, and managing SQL and NoSQL databases
Real-life experience with leading and executing data science projects, from problem formation, data engineering, modeling, and finally deployment.
Experience with areas such as time series analysis, predictive models, developing, training, and evaluating deep learning and machine learning models and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
They must have a proven ability to drive business results with their data-based insights.
Ability to communicate and visualize complex data in a simple actionable way.
Bonus Skills/Experience
5-7 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.
Experience with agile development practice, code repositories (i.e., Git), open-source scientific computation, computer vision, modeling, or machine learning tools.
Our Tech Stack
AWS
CDK
Linux
Python
Docker
Kubernetes
AWS
Git
Bazel
ArgoCD
Who You Are
Curious. You are always exploring and experimenting, interested in why and how, seeking not only to understand but to make work and the world better. You enthusiastically share your learning with others and actively seek information and knowledge.
Conscientious. You are determined, always keep your promises, and are forward thinking. Principled and integrous, you take your commitments seriously.
Humble. Unpretentious and self-aware, you cultivate compassion for others and take responsibility for your mistakes. Egoes are barriers to doing the best work and always learning.
Open and Inclusive. You are receptive and interested in new ideas and perspectives, even when those perspectives don’t agree with your views. You value and respect difference and create ways for all people to contribute to the organization.
Collaborative. You know it takes a team to get anything accomplished and you actively and inclusively work across the organization. You listen intently and openly and are always focused first on creating the best results.
Adaptable. You are able to navigate changing circumstances and environments with ease and approach uncertainty with enthusiasm, while inspiring others towards effective goal setting and accomplishment.
Pay
The base salary range for this position is $134,000-$180,000. Please note the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level & competencies as well as security clearance.
Top Reasons to Work at Descartes Labs Government
We pride collaboration over ownership, iteration over perfection, principles over rules, and discussion over directives
We’re using the world’s top technology to solve the governments largest problems. We look at DLG as a work environment where people are included, treat their colleagues with professional regard and respect, and thrive as a resultWe’re a highly collaborative company that constantly promotes success through teamwork
We strongly encourage and enjoy a flexible work environment
DLG offers a generous compensation package including competitive salary; choice of medical plan; dental, life, and disability insurance; a 401K plan; paid holidays and paid time off.
You belong here! If your experience and interests match with some of the above, we want you to apply.
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Decision Scientist Marketing Analytics | Ibotta |
Are you looking to play an integral role in building something bigger? Ibotta is seeking a Decision Scientist, Marketing Analytics to join our analytics team and this opportunity will provide just that. You will help the Marketing team make data-driven decisions to drive new customers to the app and provide a personalized, compelling experience. Additionally, you will help measure and evolve the performance of Ibotta’s B2B marketing efforts.
As a Decision Scientist, Marketing Analytics, you will be responsible for using the latest developments in statistics, modeling, and testing methodologies to understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our marketing plans.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States
Here is what you will be doing:
Work cross-functionally with the marketing team in analyzing customer segments and uncovering key, actionable insights about Ibotta users and behaviorsProvide thought leadership and insight on B2B performance metrics and attribution methodologiesRun statistical analysis and create predictive models based on past user purchases and behaviorDevelop algorithms and segmentation for user targeting and personalizationDesign, implement and measure controlled experiments to determine the impact of new approachesReport and understand business performance in detail, and identify ideas for improvement
Here is what we are looking for:
2+ years of practical work experience in Analytics, preferably in a B2B Marketing environmentBachelor’s degree in analytics/mathematics/statistics/data science/engineering or equivalent experience preferredAn understanding of the key concepts of B2B client and consumer behaviorProven expertise with data handling, processing, statistical and analytical skillsAbility to think creatively and provide thoughtful, agile insightsAbility to develop, maintain, automate, visualize, analyze, and communicate reporting to managementIn-depth experience with SQL requiredExperience using modern data analysis tools (such as R, Python, Hive/Presto) requiredExperience with A/B testing and control group conceptsAbility to work collaboratively throughout the organization to drive towards common goals
About Us:
Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target, and Uber, we’ve delivered over $1B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
Learn more about Ibotta here: https://liferewarded.ibotta.com/press-and-media/
To see what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity. Candidates must live in the United States.Base compensation range: $80,000 to $100,000.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basisFor the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-REMOTE
#LI-REMOTE
Ibotta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Associate Decision Scientist Marketing Analytics | Ibotta |
Ibotta is seeking an Associate Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Are you looking to play an integral role in building something bigger? This role on our Marketing Analytics team at Ibotta will provide just that. You will help the Marketing team make data-driven decisions to drive customers to Ibotta and retain them through innovative, personalized incentives and communication strategies. You will also be on the forefront of development of B2B attribution and performance measurement tools and methodologies
As an Associate Decision Scientist, you will be responsible for using the latest developments in statistics, customer segmentation, and A/B testing methodologies to understand the business in-depth, support strategic options, build state-of-the-art tools, and improve our future marketing interactions with customers.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Working cross-functionally with the Marketing team to analyze personalization and incentives, in order to uncover key, actionable insights about Ibotta users behavior and iteratively improve marketing performanceRunning statistical analysis and create models based on user characteristics and behaviorDesigning and measuring controlled experiments to determine the potential impact of new approachesUnderstanding and reporting business performance in detail and identifying opportunities for improving the targeted and personalized approach to marketing to Ibotta’s user base.Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & Advocate for Savers
What we are looking for:
1+ year of relevant work experienceBachelor’s degree in analytics/mathematics/statistics/data science/computer science/economics, engineering or equivalent experience is requiredAn understanding of the key concepts of consumer behavior and/or B2B clientStrong SQL knowledge, data wrangling, and analytical skillsExperience using Python for data analysis (particularly pandas, numpy, and sklearn)Ability to think creatively and provide thoughtful insightsAbility to develop, automate, visualize, analyze, and communicate learningsAbility to work collaboratively throughout an organization to drive towards common goals
What we are looking for (preferred):
Experience using other modern data analysis tools and packages (Spark, tensorflow)Superior knowledge of advanced statistical methods, machine learning, A/B experiment design, forecasting, and causal inferencePractical work experience in marketing analytics in a consumer-facing or B2B industry
About Us:
Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target, and Uber, we’ve delivered over $1B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To see what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity. Candidates must live in the United States.Base compensation range: $$60,000 to $80,000.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basisFor the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-Remote#LI-Remote
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Data Scientist | Mcgraw Hill |
Overview
Are you looking for a career that makes a positive difference in your life and in the lives of learners and educators across the globe?
We are looking for a Statistical or Psychometric Data Scientist to help us evaluate evidence for student proficiency from data collected by various McGraw Hill products. Join a team of experts within our K–12 School division at McGraw Hill working on initiatives that place the student at the center of an ongoing journey across multiple programs and classes. A longitudinal student record based on data from various McGraw Hill products will serve as the basis for recommendations and insights provided to teachers, students, and families and could improve millions of lives.
Could your creative thinking build the future? Our Data Scientists at McGraw Hill make a difference for learners and educators across the world. Our team needs individuals with new ideas who connect with people in innovative ways.
** Only considering candidates who do not require immigration sponsorship at this time**
What you will be doing:
Clean, process, and explore student interaction data from various educational products
Develop models and algorithms to measure student proficiency, draw insights from student behavior, and provide useful recommendations to teachers, students, and families
Work with learning scientists, product managers, UI/UX researchers, and curriculum designers to create visualizations, reports, and dashboards that help teachers, students, and families understand a student’s learning journey
Work with data engineers to deploy production-quality code into products used by millions of users
What you will bring to the role:
A Ph.D. in a relevant field (psychometrics, educational measurement, statistics, math, computer science, or equivalent)
Knowledge of R, Python, and SQL
Expertise in statistical modeling or psychometrics, e.g., Bayesian
Experience analyzing behavioral or social science related data
Strong affinity with education and student learning
Ability to balance scientific rigor and creativity with fast-paced development and practical solutions
Experience creating scalable and efficient production-level code, or interest in acquiring these skills
Our preference would be for someone with one or more of the following:
A background in Bayesian modeling or computational psychometrics
3 – 5 years' experience training and deploying data science models in production
Experience with language and reading assessments or NGSS science assessments
Experience building/maintaining data pipelines
Experience with object-oriented programming
Are you ready for a new challenge? Apply for a career at McGraw Hill and together, we’ll impact the world.
As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you contribute and grow in a collaborative environment, where everyone shares a passion for our craft, and how it can support the success of students and teachers.
The pay range for this position is between $100K - $120K annually, however, base pay offered may vary depending on job-related knowledge, skills, experience and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered.
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Data Scientist | Paypal |
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
Job Description Summary:
A Data Scientist within the Fraud Defense Cyber Center will support incidents and investigations by extracting unique fingerprints, which can be operationalized to mitigate fraud and abuse.
Job Description:
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
The Fraud Defense Cyber Center (FDCC) is a diverse team of cybersecurity, fraud, and risk experts who work with partners across PayPal to spearhead collaborations that achieve durable and holistic solutions to complex types of fraud. To support this goal, the FDCC has teams which support incidents and investigations by analyzing account information, network logs, and big data datasets. This analysis is critical in fingerprinting activity to assist with mitigations and driving solutions.
We are looking for a passionate, highly talented, and self-driven Data Scientist to join our team. You should be eager to learn and able to analyze information and data with the goal of supporting fraud mitigation solutions.
Your way to impact
Support Fraud Defense Cyber Center Incident Management teams to identify features and data points which can be leveraged to mitigate fraud and prevent future abuseSupport Risk and Information Security teams by operationalizing data produced in incident reviews that is accurate and well vettedLead analytical driven projects which quantify fraud and abuse risk, while staying organized, setting clear goals, and providing clear updates to progress
Your day to day
Take leads from incidents, ad-hoc escalations, and identified emerging trends and produce data driven analysis to develop fraud stories and key indicators of abuse within the dataExtract fingerprints from data to effectively identify abuse and develop methodologies to ensure accuracyEffectively visualize the information to communicate insights to others and help create dashboards to support incidents and/or investigationsOperationalize the fingerprints and data driven insights with teams and/or tools to detect, challenge, and mitigate abusive traffic in support of an end-to-end holistic approach to risk and securityInteract with multiple teams and engage with both technical and non-technical teams to drive resolution to incidents and investigations
What you need to bring
College degree, preferably in a quantitative field (Math, Analytics, Computer Science, etc.), or equivalent work experience/industry certificationsProficient in working with large datasets and conducting detailed analysis to drive decisionsFamiliarity with financial fraud and abuse methodologies specific to fintechExperience with any or multiple of the following: Splunk (or similar SIEM tool), SQL, Python, R, Jupyter Notebooks, Teradata, HadoopExperience creating data visualizations, including dashboards and visuals to highlight important insightsBasic knowledge of computer networking and ability to understand network log dataAbility to follow change management processes and governanceWe know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.
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Staff Data Scientist | Honor |
Honor exists to expand the world’s capacity to care.
We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale.
Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.
The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults.
Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems!
About the Work:
We’re looking for data scientists to join our team. You'll develop statistical and machine learning models to improve our operations platform and help us provide a better service to our clients. We're looking for generalist data scientists who are excited to jump into new problems and write production-quality code.
Leverage data to solve meaningful problems with appropriate complexity
Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it
Research operational/logistical problems and proactively identify potential solutions.
Lead the design, implementation, and evaluation of descriptive and predictive models.
Integrate machine learning into user-facing applications.
Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.
About you:
Excellent communication skills with both technical and non-technical peers.
Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
Wide-ranging professional experience solving complex business problems and shipping Python in a production environment.
5+ years of industry experience.
Expertise with numerical software packages such as NumPy, scikit-learn, or Keras.
Able to manage product ambiguity, seeking clarity when possible.
Are accountable end-to-end for your own projects, through planning, deployment, maintenance, and monitoring. You spot and address potential issues early.
Bonus points if you have professional experience with:
Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., ideal matches of people needing and providing care, automated financial incentives to staff remaining shifts, etc.)
Using survival analysis and related methods to evaluate risk of employee churn and to predict future high-performers
Collaborating with designers to develop effective methods of collecting data in order to quantify highly qualitative attributes, such as personality, taste preferences and perceived quality
Using NLP methods to build data products from a variety of unstructured data sources, including phone calls and website forms
Applying spatial statistics to incorporate geographic and regional differences in a variety of problem contexts
What’s next?
Honor is remote friendly! We're hiring across the U.S., with an entirely virtual interview and onboarding process. Most of our positions are remote/work from home and do not require permanent relocation. As conditions allow, we have office space for in-person collaboration in our San Francisco Bay Area, CA and Austin, TX hubs. If you're looking for a great job that offers you the opportunity to work from home, we'd love to talk to you.
Want to know more about why Honor is a great place to work? Check out our perks!We value people! These four people-centric values guide the ways we work and decisions we make every day.
This role doesn’t sound quite right? Send this application to a friend who may be a fit and check out our other available roles!
#LI-Remote
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.
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Principal Data Scientist | Honor |
Honor exists to expand the world’s capacity to care.
We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale.
Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.
The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults.
Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems!
About the Work:
We’re looking for data scientists to join our team. You'll develop statistical and machine learning models to improve our operations platform and help us provide a better service to our clients. We're looking for generalist data scientists who are excited to jump into new problems and write production-quality code.
About the work:
Leverage data to solve meaningful problems with appropriate complexity
Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it
Research operational/logistical problems and proactively identify potential solutions.
Lead the design, implementation, and evaluation of descriptive and predictive models.
Integrate machine learning into user-facing applications.
Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.
About you:
Excellent communication skills with both technical and non-technical peers.
Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
Wide-ranging professional experience solving complex business problems and shipping/maintaining Python in a production environment.
7+ years of industry experience.
Expertise with numerical software packages such as NumPy, scikit-learn, or Keras.
Expertise in managing product ambiguity, seeking clarity when possible
Foster an environment of end-to-end accountability for team projects, through planning, deployment, maintenance, and monitoring. You level up the team to spot and address potential issues early.
Bonus points if you have professional experience with:
Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., ideal matches of people needing and providing care, automated financial incentives to staff remaining shifts, etc.)
Using survival analysis and related methods to evaluate risk of employee churn and to predict future high-performers
Collaborating with designers to develop effective methods of collecting data in order to quantify highly qualitative attributes, such as personality, taste preferences and perceived quality
Using NLP methods to build data products from a variety of unstructured data sources, including phone calls and website forms
Applying spatial statistics to incorporate geographic and regional differences in a variety of problem contexts
What’s next?
Honor is remote friendly! We're hiring across the U.S., with an entirely virtual interview and onboarding process. Most of our positions are remote/work from home and do not require permanent relocation. As conditions allow, we have office space for in-person collaboration in our San Francisco Bay Area, CA and Austin, TX hubs. If you're looking for a great job that offers you the opportunity to work from home, we'd love to talk to you.
Want to know more about why Honor is a great place to work? Check out our perks!We value people! These four people-centric values guide the ways we work and decisions we make every day.
This role doesn’t sound quite right? Send this application to a friend who may be a fit and check out our other available roles!
#LI-Remote
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.
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Data Scientist Analytics Growth | 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.
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. Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying as well as driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partners with data scientists to make sure we are building a data-driven culture.
About the Role:
As the Growth Data Scientist, you will partner closely with Product, Engineering, Design, and Data Science to build amazing products that will drive users to Quizlet. You will bring together insights across our vast user growth data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business metrics, set company wide goals, and present quantitative product research. We are open to the role being fully remote or located near one of our US offices.
In this role, you will:
Be focused on driving business insights through data
Develop analytical frameworks and foundations to enable actions and next steps in the business
Be embedded in a specific product pod and partner with the Product Manager and Engineering Lead to go deep into one part of Quizlet’s business
Help develop A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations
Explore, develop, and present insights to the whole company that inform product roadmap and strategy, using one of the world’s largest learning science databases
Drive maturity and excellence in the way we measure success of our business
What you bring to the table:
Must have experience running A/B tests and using statistical techniques for modeling and predicting user behavior
2+ years of experience in data science at a consumer internet company
Proven experience in driving product strategy recommendations with insights and modeling
Proven experience with creating and owning resilient ETLs that power business metrics
Advanced SQL skills, window functions, sub-queries, etc
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Bonus points if you have:
Experience working with growth product teams
Experience with dbt
Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields
Compensation, Benefits & Perks:
Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $107,000 - $148,000, depending on location and experience, as well as company stock options
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!)
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice
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 take pride in delivering 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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Junior Data Scientist Research Network | Global Fishing Watch |
Reporting to: Senior data scientist
Location: Remote - we welcome candidates based in any country
Working Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. Global Fishing Watch works across different time zones and weekend work may be required on occasion. The post holder may be required to undertake periodic domestic and international travel. No overtime is payable.
Compensation: Commensurate with experience. Global Fishing Watch offers pension/retirement, health and other benefits commensurate with similar level Global Fishing Watch employees in the country of employment.
Equal Opportunities: GFW is an equal opportunities employer. We hire and promote qualified professionals without regard to actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs and cultures. We are committed to providing an inclusive and welcoming environment for all employees of GFW and our partners, vendors, suppliers and contractors.
Background: Global Fishing Watch is an international, non-profit organization committed to advancing ocean governance through increased transparency. We create and publicly share knowledge about human activity at sea to enable fair and sustainable use of our ocean. Founded in 2015 through a collaboration between Oceana, SkyTruth, and Google, GFW became an independent non-profit organization in June 2017. Using cutting-edge technology, we create and publicly share map visualizations, data and analysis tools to enable scientific research and drive a transformation in how we manage our ocean. Our major focus is on commercial fishing because it is the most widespread human activity at sea, the most impactful on ocean health, and the most crucial for global livelihoods and food security. By 2030, we aim to monitor and visualize the impact of ocean-going vessels, both industrial and small-scale, that are responsible for the vast majority of the global seafood catch. We believe human activity at sea should be common knowledge in order to safeguard the global ocean commons for the common good of all.
The Position: The Research and Innovation team at Global Fishing Watch connects data science and machine learning experts with leaders in the scientific community to produce new datasets, publish impactful research, and empower others to use our data. This work aims to harness the potential of satellite technology, machine learning, and big data to shed light on some of the most pressing issues facing the ocean.
The Junior Data Scientist will play a key role on the Research and Innovation team by coordinating the team’s engagement with the research community. In this capacity, they will organize workshops, webinars, brainstorming sessions, and other engagements that foster collaboration between GFW and leading experts on critical ocean issues. Outside of these responsibilities, they will provide general data science support for our portfolio of research projects. Examples of this work include integrating complex data from multiple sources to expand GFW’s dataset of vessel identity, correlating vessel GPS locations with vessel detections from satellite imagery, and generating and publishing gridded products of vessel activity for fishing and non-fishing vessels.
The incumbent will gain experience working with leading researchers and will interface daily with GFW’s team of data scientists and machine learning experts. They will develop diverse technical skills in programming, big data, and cloud computing while working for a globally diverse, fully distributed, and growing organization. The successful candidate will be highly organized and excited to help Global Fishing Watch develop strong partnerships and cutting-edge science. They should also have demonstrated experience working with complex datasets, analytical research, and communication.
Principal Duties and Responsibilities
Research network engagement
Coordinate engagement with GFW research partners by managing communications, organizing workshops, and tracking projects and impacts.
Outreach designed to assist partners and the public with accessing and understanding GFW data, including developing webinars, tutorials, and code libraries.
Provide data science capacity, such as developing queries, models, and visualizations that support novel research projects for publication in peer-reviewed journals.
Internal research support
Provide technical support for the development, advancement, and publication of GFW datasets.
Analyze large amounts of data from various sources, such as vessel activity, identity, and satellite imagery to identify trends, anomalies, and insights.
Assist with data labelling to expand and improve training datasets.
Quality assurance of key data pipelines and research tables and coordinating their effective use by internal teams and external partners.
Candidate Description
Skills you should have
Bachelor's degree in computer science, ecology, or a related field
Highly organized, analytical, detail-oriented and self-motivated
Experience engaging with academic researchers
Demonstrated experience and data science skills with Python or R
Ability to work with large datasets and visualize data effectively
Experience with version control software and collaboration tools such as git and GitHub
Ability to work efficiently to a very high standard of detail while managing multiple priorities
Willingness to take ownership of projects and effectively communicate updates in a transparent and proactive manner
Also great
Graduate degree and experience with the peer-review process
Familiarity with issues of marine ecology or policy
Some experience with database query languages such as SQL
Experience in geospatial analysis of remotely sensed data
An understanding of the complexities and collaboration required to work effectively for a globally remote organization
If you don't think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!
Hiring Process: If selected for consideration, the hiring process for this position will include a 30 minute administrative screening by an Human Resources manager followed by a formal 45 minute interview with 2-3 staff. Candidates advancing beyond this round will be asked to take a technical assessment and/or submit a representative code sample. Lastly, an informal 30 minute call with 3-4 members of the Research and Innovation team will be held with finalists.
Please apply by Friday, 17 February
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Lead Data Scientist | Modernizing Medicine |
At Modernizing Medicine, we look for passionate, innovative, creative Rock Stars!
South Florida Business Journal, Business of the Year 2022
BIG Awards for Business, Company of the Year 2021
Best in Biz Award (Silver), Fastest-Growing Company of the Year 2021
South Florida Business Journal, Best Places to Work 2021
Inc. Magazine Best Workplaces of 2020
Modernizing Medicine is delivering truly disruptive and transformative products and services that will impact the healthcare industry. The work we do makes a difference.
Our web and mobile applications are transforming healthcare information technology to increase practice efficiency and improve patient outcomes. We offer end-to-end specialty-specific solutions from practice management, through EMR to Revenue Cycle Management (RCM) that maximize office interactions, patient visits, collections and reimbursements.
ModMed is looking for an outstanding Lead Data Scientist to join our advanced development team. You will work on highly-visible, highly-impactful problems, positively impacting medical providers and their patients. In this role, you will influence the product roadmap and business decisions, collaborating closely with medical providers, business leaders, data engineers, software engineers, and other scientists.
Your Role:
Lead our data science projects by setting the best practices for delivering high-quality data science projects, establishing best practices, and providing guidance to more junior data scientists.
Formulate and define science problems based on business needs and requirements.
Translate business problems into an analytical framework and form testing hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps.
Create large-scale data science products that leverage data transformation and machine learning models.
Utilize advanced expertise when designing and developing algorithms and models against large datasets.
Collaborate with cross-functional teams with medical providers, business leaders, data engineers, software engineers, and other scientists.
Ability to take abstract ideas to proof of concepts into commercially viable solutions with partnership from product and executive leadership.
Skills & Requirements:
Real-world experience solving complex, statistical, and machine learning projects.
Familiarity with state-of-the-art statistical and machine learning methods, understanding the entire life-cycle of machine learning projects
Experience building end-to-end solutions.
Experience working on multiple projects at once.
Strong understanding of machine learning theory and familiarity with deep learning and computer vision.
Advanced coding experience in Python and SQL.
Exposure to, or knowledge of, one or more data warehouses and data lake tools such as Databricks, Snowflake, Amazon Redshift, etc.
Minimum of 7 years of relevant experience focusing on advanced analytics and predictive modeling.
Bachelor's degree in Data Science, Computer Science, or related field, with a preference towards a Master's or Ph.D. degree.
Healthcare experience is a plus.
Modernizing Medicine Benefit Highlights:
Health Insurance, 401(k), Vacation, Employee Assistance Program, Flexible Spending Accounts
Employee Resource Groups
Professional development opportunities including tuition reimbursement programs and unlimited access to LinkedIn Learning
Weekly catered breakfast and lunch, treadmill workstations, quarterly onsite massages, onsite dry cleaning, onsite car wash and many more!
#LI-KM1
#LI-REMOTE
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Advanced Analytics Ai Ml Data Science Technical Manager | West Monroe |
West Monroe is seeking an experienced Data Science Manager. This is an excellent opportunity to join our growing Analytics practice that leverages advanced analytics, data science, and machine learning / artificial intelligence (ML / AI) to create impact for clients. Responsibilities
Manage end-to-end data science workflow from data ingest and wrangling to analysis and presentation, including writing code, performing code and deliverable review, and people and project management, on due diligence and value creation engagements across various sectors, including Private Equity, Financial Services, Technology, and Consumer & Industrial Products
Develop and test key investment hypotheses by asking the right questions and using appropriate data science approaches to derive data-driven answers
Deploy analytics and machine learning models on large datasets using West Monroe’s proprietary data science platform Intellio® Predict to inform investment and operational decisions
Devise creative methods to enhance our team’s capabilities in delivering analytics strategies and associated work, including presenting at internal skills-building seminars and contributing to data science-related product, asset, and offering vision and development
Assist in business development by understanding business needs and requirements to create work plans, pricing estimates, detailed proposals, and Statements of Work
Build the Next Generation of analytic Leaders through formal and informal mentoring of teammates within the Analytics practice and developing collaborative relationships across the rest of the firm
Qualifications
Depth and breadth in statistics, machine learning, and R/RStudio
Basic knowledge in SQL and github is required
Experiences with econometrics, cloud databases, Spark, AWS, and Python are pluses
Strong interest in data science applications in business, management, and investing
Experience with managing 2-5 teammates on data science projects
Demonstrated experience with individual contribution to code, code review, and building deliverables for presentation, as well as leading technical engagements including proposal development, estimation, and day-to-day project management experience
Desire to lead and mentor other data scientists while leading projects and acting as client liaison
Excellent leadership, organizational, verbal, and written communication skills
A commitment to inclusion and diversity, and openness to new ideas and perspectives
#LI-REMOTE
Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Ten weeks of paid parental leave will also be available for use after successful completion of one year of employment.
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Staff Data Scientist | Rvo Health |
AT A GLANCE
We are looking to hire a staff machine learning engineer to join our RVO Health data science team. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. We are a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do
Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.
Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.
Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
6+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:
website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
text and image generation - leveraging recent advances of large language models and their derivatives to scale what our creative functions can do.
recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.
Candidates with specific expertise in any of these areas will be highly preferred.
Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.
Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
Starting Salary: $150,000 - $210,000*Note actual salary is based on geographic location, qualifications and experience
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We will use the remainder of 2022 to separate from Red Ventures and fully transition into the new entity. We will communicate fully and transparently along the way, honoring the culture, people, processes and spirit that got us to this point.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
#LI-SM2
#LI-Remote
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Manager Of Consumer Analytics | Rvo Health |
We are looking to hire a Manager of Consumer Analytics to join RVO Health.
We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. RVO Health is a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world.
This exciting new role on the Membership & Retention Team will focus on business analytics and data science activities that deliver data-driven, actionable insights to better understand our Consumers and how to market to them. This role will support all LoBs and divisions with an initial focus on our Optum Store business.
What You'll Do:
Build creative data science and analytical solutions to solve complex business problems
Create data models for marketing and the business that drive customer lifetime value, increase purchase frequency and revenue, and facilitate a deeper understanding of our customers and their behaviors
Lead propensity model and persona development and implementations to help in acquisition Marketing efforts
Be the consumer data expert, understanding the data sources and touch points across a customer’s journey to support the business as we grow and add solutions, products, and services
Use data and analytics to tell compelling stories about our customers and our services using modern BI tools and concise, accurate, timely reporting
Be a data-literacy advocate, accelerating data knowledge and utilization across our colleagues and customers
Be a team player and advocate, and help create a inclusive, comfortable environment
Partner and work effectively with all levels of the organization and stakeholder
What We're Looking For:
3+ yrs of professional experience in a data science and analytics role, working with consumer, retail, and marketing data
Domain experience in areas such as consumer analytics, customer acquisition and retention, marketing analytics, and forecasting is highly desirable
Proven track record of building models and solutions that generate consumer insights, find patterns, predicts behaviors, and solve business challenges
Experience building dashboards and reports, and presenting complex results effectively to all levels of the organization
Some level of experience and understand of healthcare data is a plusSome level of experience and understand of healthcare data is a plus
Candidates with specific expertise in any of these areas will be highly preferred:
Strong analytical skills and background, and highly skilled data wrangling and modeling skills
Proficiency in SQL and languages like Python/R/Scala
Proficiency building various AI/ML models, such as segmentation, clustering, propensity, persona, and forecasting
Good understanding of data visualization with experience building dashboards in modern BI tools such a Domo/Tableau/Power BI
Some experience with marketing analytics and campaign tools such as Adobe, Google, UnicaSome experience with marketing analytics and campaign tools such as Adobe, Google, Unica
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
Starting Salary: $97,000 - $153,000 *Note actual salary is based on geographic location, qualifications and experience
Bonus potential
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
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Director Of Research And Evalution | Charter School Growth Fund |
THE ORGANIZATION
The Charter School Growth Fund (CSGF) is a leading nonprofit venture philanthropy fund dedicated to identifying the nation’s best public charter schools, investing in their expansion, and helping to increase their impact. Our “portfolio” includes 150+ charter school networks that operate 1,200+ schools and serve more than 550,000 students. We are committed to expanding the impact of schools that are closing achievement and opportunity gaps. CSGF operates with the same strategies, discipline, and focus as a venture capital firm by awarding multi-year grants and loans to talented education entrepreneurs building networks of high-quality charter schools that enroll traditionally underserved students. Ultimately, we think the portfolio can grow to serve ~1,000,000 students within a decade.
This is an exciting time to join the Charter School Growth Fund. We recently launched a new philanthropic fund, building on our 15-year track record of success. CSGF’s new five-year “Fund IV” is larger in size and scope than previous funds, with a goal to continue to fuel charter sector growth, accelerate innovation, and strengthen long-term outcomes for students, particularly students of color and those from low-income backgrounds. Our new fund will continue to prioritize investments in leaders of color as our current portfolio is led by more than 50% leaders of color and more than 50% female leaders. We believe it is vital for the networks we support to be proximate to the lived experiences of the students and communities they serve.
THE OPPORTUNITY
About Our Team
With the launch of the next philanthropic fund, the Analytics team is expanding and evolving to meet the growing needs of an ever increasingly data driven organization. The Analytics team sits at the intersection of our investment, impact, innovation, policy, finance, and talent teams which all have data needs to drive their goals. The Analytics team also serves the need to progress monitor CSGF’s key performance indicators that measure our impact across the network. These insights are shared internally as well as with our many funders. In addition, we seek to expand the role of analytics to provide direct analysis support to our growing portfolio of charter school networks. To accomplish this, we leverage nationally collected data sets from a variety of sources and provide flexible and timely analysis to our many stakeholders and partners.
The team is made up of three core functions: engineering, data products, and research & evaluation. This full-time permanent role will lead the Research & Evaluation function within the larger team. This role reports to the VP of Analytics.
Our Analytics Stack
Google Cloud (backbone architecture)
BigQuery (data warehouse)
dbt Cloud (data modeling/monitoring)
Tableau (data visualization)
Python (data modeling & engineering)
About This Role
The Director of Research & Evaluation will lead the research, data science, and analytics capacity needed to provide insights to inform organizational strategy and ultimately CSGF portfolio performance. In addition, they will also lead the implementation and continual refinement of CSGF’s approach to school evaluation. This individual will work closely with the other members of the Analytics Team and the Portfolio Team to drive ongoing data-driven decisions throughout the organization and in support of the CSGF portfolio.
KEY RESPONSIBILITIES
Below is a general outline of responsibilities. CSGF is a fast-moving organization, roles and responsibilities may change to meet the needs of the organization and the charter networks we support.
It is not expected that every candidate will meet all of the desired qualifications; above all else, we are seeking candidates with an eagerness and ability to learn new skills and solve interesting problems in an environment that encourages creative thinking, quick feedback loops, and opportunities for professional development.
Leadership
Establish the vision and strategy for the Research & Evaluation department within the larger Analytics team
Develop and successfully execute an annual research and insights agenda
Manage, coach and develop the Evaluation and Insights Analyst
Research and Insights Analytics
Select and utilize appropriate research methods and tools of data science to mine the wealth of data collected on the schools and networks in the CSGF portfolio to produce high-quality, reliable insights and metrics that will inform CSGF strategy and decision-making.
Package and disseminate insights and tell data stories on a regular basis and through a variety of different channels and mediums, including blogs, presentations, products, written reports, etc.
Work with CSGF team members organization-wide to develop quality research questions and testable hypotheses.
Codify and implement a consistent methodological framework to guide all analytics done by the Analytics team.
Help inform portfolio and public data collection needs and priorities annually with an eye to generate improved measures of evaluation and insights.
Propose and lead self-directed large-scale research projects that have strategic value for CSGF, and serve as an advisor on research projects led by other teams, making connections among research projects across the organization.
Help CSGF develop and refine perspectives on key academic and post-secondary outcome-related questions and measurements.
Build relationships and provide thought-partnership on methodology and insights with other national education data leaders and CSGF funders.
Evaluation
Use research and data science to implement an organization-wide school evaluation framework for CSGF’s new applicant processes, proposed investments and for the annual review of current investments.
Continually monitor, strengthen, align, and build on CSGF’s evaluation framework to ensure an equitable and common approach to evaluating academic and school performance, including bringing a DEI lens and ensuring nuance in evaluation based on various factors.
Build trust and strong partnerships with internal CSGF team members to ensure alignment and understanding of CSGF’s metrics, while obtaining feedback and seeking to understand team member use cases, values, and decision-making around data.
Collaborate with external partners, researchers, and funders to ensure continuous learning and improvement on approaches to school performance evaluation.
Improve the due diligence student outcomes analysis process, including streamlining the development of the standard scorecard and custom analyses, and creating a process to ensure that all stakeholders obtain a deep understanding of the evaluation analysis.
REQUIRED QUALIFICATIONS
Expected Skills and Characteristics
Exceptional quantitative and qualitative analysis skills with demonstrated ability to analyze data to derive actionable insights.
Outstanding written and verbal communication skills and storytelling ability.
Experience using the tools of data science to derive insights from large, messy datasets
Experience conducting data analysis using Python, R or other statistical software.
Experience creating data visualizations.
Experience querying data using SQL is a plus.
Experience managing complex, cross-functional projects from beginning to end.
Strong attention to detail and balance of accuracy and urgency.
Capacity to quickly learn new skills, seek honest feedback from peers and mentors, and know when to ask for help.
Professional Experience
At least five years of full-time professional experience in research, data analytics, data science, education, and/or similar fields
Experience leading and executing a research agenda within an organization
Experience in public education preferred
WORKING AT CSGF
We are focused on hiring and developing great people and believe that building diverse perspectives across our team makes us more effective in expanding our impact. (This is reflected in Our Commitment to Diversity Statement.) Our core values are:
Results. We work relentlessly to create efficient, measurable, and sustainable results. We strive for excellence and pursue our mission tenaciously. Ideally, you thrive working in a self-directed manner in a fluid environment where flexibility and tenacity are required.
Entrepreneurship. We embrace calculated risks and new approaches. We have an entrepreneurial spirit that welcomes innovation, diversity of ideas, and risk. We rely on you to question conventional wisdom and think independently.
Integrity. We are truthful, fair, and trustworthy in all aspects of our work. We hold ourselves and our partners to the highest ethical standards. We trust you will too.
Respect. We appreciate the challenges faced by education entrepreneurs and recognize the limits of our own knowledge. We understand that our ultimate success depends on that of our partners. Your humility will be key to building trusted and authentic relationships.
Teamwork. We value each of our team members as individuals but believe that we achieve the best results by working together. We willingly sacrifice individual interests and recognition for greater collective impact. We hope having fun at work is important to you and that you are a team player.
COMPENSATION
Compensation is commensurate with experience and education. The target salary range for this role is $100,000 - $125,000 annually. CSGF offers a very competitive compensation package.
START DATE
CSGF is seeking candidates who can start as soon as possible.
COVID-19 VACCINATION POLICY
Unless prohibited by state or local law, CSGF requires that all staff be fully vaccinated with an FDA or WHO authorized vaccine (or approved for an exemption as a reasonable accommodation due to a medical reason or sincerely held religious belief). CSGF abides by each state’s requirements and acknowledges those may change over time. If moved forward to the phone screen stage, you have the chance to ask the talent team any questions you may have about this requirement.
Charter School Growth Fund provides equal employment opportunity for all applicants and employees.
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Data Scientist | Pearson |
Summary
The Data and Analytics team is a nimble and highly impactful team that provides critical guidance, insights, and strategic frameworks to the senior leaders in the organization. As an integral part of the team, the Data Scientist will use sophisticated methods to extract meaning from large volumes of data in order to guide the strategies and roadmaps of various business units, often working alongside stakeholders in the process. Our guiding principle is “truth in analytics” and the incumbent will embody the same.
The Data Scientist will be involved in all things analytics; leveraging statistics, machine learning methods, cloud engineering, and business intelligence tools to solve problems. They will also leverage entry-level data engineering understanding (SQL, Python, and Linux) to improve the team’s data ecosystem within Google Cloud Platform. The ultimate goal of a data scientist is to drive the optimization and improvement of products, marketing, and business strategies at Pearson.
General Responsibilities
Specific duties and responsibilities include, but are not limited to, the following. Other duties and responsibilities may be assigned within reason.
Create cloud engineering solutions to support analytics teams. This includes cloud functions, extract- transform-load scripts, and batch processing jobs.
Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses.
Create and mine datasets in Google BigQuery and other company data sources to support analyses.
Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions.
Coordinate with other engineering teams to enhance the Data and Analytics team’s data ecosystem.
Explore new technologies to enhance the Data and Analytics team’s data ecosystem.
Aid in the development of best practices used in business metrics analysis.
Support process improvement discussions with stakeholders informed by analytical insights.
Participate in business partner-facing presentations and meetings as needed.
Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines.
General Qualifications
4-year degree from an accredited institution in a technical field, with coursework in advanced statistics (for example: Engineering, Physics, Information Technology, Computer Science, Business Analytics, Mathematics, Statistics, Economics, and related fields) OR combination of education and experience required (advanced degree preferred but analytics experience will be strongly considered).
Two (2) years of experience writing complex queries using SQL.
Prior experience with Data Science languages like Python, and/or R. You’ll be expected to pass a simple assessment that shows you understand basic programming concepts (variables, loops, conditions, functions, and basic data structures)
Prior experience using statistical (e.g., correlations, regressions, clustering, A/B testing, behavioral modeling, revenue attribution etc.) and/or machine learning techniques to solve problems.
Prior experience using Git-based repositories.
Ability and interest to learn, research, and apply new technologies and methods for solving business problems.
Ability and interest in learning new computer languages for dealing with Engineering problems (e.g. Java, NodeJS, Bash Shell, Scala)
Prior experience operating in a Cloud Platform (Google Cloud Platform preferred, but AWS/Azure is fine).
Previous experience or interest in developing clean datasets.
Ability to work within a cross-functional team setting and shifting priorities.
Good communication and interpersonal skills. Ability to interact with diverse technical and non-technical groups.
Supervisory Responsibilities
None
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado, California, Washington State, and New York City laws, the pay range for this position is as follows:
Minimum full-time salary range is between $95,000.00 - $100,000.00
This position is eligible to participate in an annual incentive program, and information on benefits offered is here here .
#LI-REMOTE
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Job: GENERAL BUSINESS OPERATIONS
Organization: Virtual Learning
Schedule: FULL_TIME
Req ID: 9925
#LI-REMOTE
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Lead Data Scientist | Redhorse |
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.
Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as our Lead Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Delivery Team Leader will be responsible for daily planning and conduct of team activities along with the overall responsibility for team performance against the assigned Platform Backlog. This position will be based in National Capital Region offices in the Rosslyn neighborhood of Arlington, VA.
Essential Functions:
Manage a Data Science delivery team of one data scientist and two data analysts performing work on the government-provided PANDA platform.
Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
sustain existing WUC predictive failure models
support selection and analysis of new WUC predictive failure models
field newly approved WUC predictive failure models
generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
participate in user and stakeholder engagements and technical discussions
gather and provide feedback on best practices and recommended enhancements to the platform
document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current and active Secret security clearance will not be considered for this role.
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Data Scientist with 8 years of experience and experience in failure prediction or predictive maintenance work.
Understanding of Weibull distribution and use for modeling part failures
Proven ability to drive key client communication and expectations
Experience engaging clients and developing relationships
Strong communication skills and ability to understand business functionality
Ability to foster positive business relationships
Proven leadership abilities and interpersonal skills
Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
Experience with sensor-based failure predictions and modeling
Experience with Natural Language Processing
Executive Order Requirement:
While currently on HOLD, Redhorse recognizes that we may need to comply with Executive Order 14042 which requires Federal Contractors to ensure all U.S. new hires be fully vaccinated for COVID-19. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled
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Data Scientist | Redhorse |
About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts.
This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.
Essential Functions:
Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
Sustain existing WUC predictive failure models
Support selection and analysis of new WUC predictive failure models
Field newly approved WUC predictive failure models
Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
Participate in user and stakeholder engagements and technical discussions
Gather and provide feedback on best practices and recommended enhancements to the platform
Document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
Understanding of Weibull distribution and use for modeling part failures
Proven ability to drive key client communication and expectations
Experience engaging clients and developing relationships at the highest levels of the Federal Government
Strong communication skills and ability to understand business functionality
Ability to foster positive business relationships
Proven leadership abilities
Excellent communication and interpersonal skills
Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current and active Secret security clearance will not be considered for this role.
Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Experience with Predictive Maintenance / Logistics
Experience with sensor-based failure predictions and modeling
Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
While currently on HOLD, Redhorse recognizes that we may need to comply with Executive Order 14042 which requires Federal Contractors to ensure all U.S. new hires be fully vaccinated for COVID-19. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled
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Senior Data Scientist | Kin |
So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Senior Data Scientist role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include:
Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.
I’ve got the skills… but do I have the necessary ones?
Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
Experience mentoring and providing technical oversight to ML teams
5-7+ years working experience developing ML models
Insurance experience preferred
Familiarity with tools used to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, Docker, etc…)
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data
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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Sr Data Scientist | Vinli |
SENIOR DATA SCIENTIST
Remote Role (US Preferred)
About Vinli
Vinli’s team is transforming the mobility industry via our next generation data intelligence platforms. Our passion is building products and services that unlock the true value of connected cars by showing drivers, passengers and organizations the potential hidden within their vehicles' data. We were founded in 2014 and are backed by some of the biggest names in transportation (Cox Auto, Samsung, Continental) venture capital (First Round Capital, Westly Group) and energy (E.ON). We are partnered with some of the largest players in the mobility industry – including ALD Automotive. Remote work has been a successful part of our cultural DNA since long before 2020. Future members of our team should be intellectually curious, self-starters whose work history demonstrates the courage to create and the maturity required to bring products to market.
About The Role
Vinli is looking for exceptional Data Science talent to add to an already amazing team. You’ll have the chance to work with the latest big-data technologies and rich, diverse data sets in an agile, cloud-native environment. As a Sr. Data Scientist at Vinli, you’ll work in partnership with a group of amazing engineers to transform your insights into impactful products and beautiful analytics experiences for our customers.
You should have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. There will be many opportunities to forge your own path and demonstrate individual excellence here at Vinli, all while pulling together with a team who is ready to support you and eager for your help. Plus, we have a lot of fun together! Join us in creating the future of mobility.
Responsibilities
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our existing and potential future customers interact with automotive data, tangential data sets, and Vinli analytics productsPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesInform, influence, support, and execute our product decisions and product launchesSupport Vinli’s data science operations in four key ways:Product Operations: Forecast and propose product team goals. Design and evaluate experiments (A/B Testing). Monitor key product metrics. Explore & understand root causes of changes in metrics. Build and analyze dashboards and reports. Build key data sets to empower operational and exploratory analysis. Evaluate and define metrics.Exploratory Analysis: Perform research to develop an understanding of ecosystems, user behaviors, and long-term trends. Identify new levers to help move key metrics. Build models of user behaviors & segmentation for analysis or to power production systems (for example, Crash Detection).Product Leadership: Influence product teams through presentation of data-based recommendations. Communicate state of business, experiment results, etc. to product teams. Spread best practices to analytics and product teams. Write case studies to help promote Vinli as a thought leader in the data science & analytics industry.Data Infrastructure: Build systems which truly scale by leveraging the latest big data architectures. Automate analyses via high performance ETL pipelines in SQL and Spark.
Required Qualifications
5+ years working experience as a business-oriented data scientist or data analystMaster’s degree in statistics, mathematics or related analytical discipline preferred (PhD a plus)Proficiency in statistical models and thinking (probability, regression, segmentation)High Proficiency in SQL, Python, and SparkExperience with applied statistics or experimentation (i.e. A/B testing) in an industry setting Experience communicating the results of analyses to leadership teams to influence the strategy
Preferred Qualifications
Experience in in the automotive & insurance industries and/or experience working with automotive dataPrior experience in price optimization and consumer segmentation for enterprise products2+ years experience in a fast-paced startup environment
About Our Ideal Candidate
You thrive in challenging environments that require collaborative problem solving.You prefer to spend your time coding and collaborating, not in meetings.You feel pride & responsibility seeing the product you worked on meet the real world for the first time.You are capable of independently prioritizing your duties and still work well with a team.You can both accept and provide thoughtful, respectful constructive criticism.
Benefits
Vinli offers competitive benefits such as health care* (including medical, dental, and vision) and a highly flexible PTO policy. In addition, we will work with you to support individual career development opportunities such as conferences, advanced training, and certifications. Vinli transitioned to fully remote operations in March 2020, but we have a longstanding history of operating & supporting successful remote teams to drive a productive, professional, and enjoyable remote work culture.
EEO Policy Statement
We are an equal opportunity employer. We strictly prohibit unlawful discrimination or harassment of any kind, including discrimination or harassment on the basis of race, color, national origin, ancestry, religion, veteran status, age, pregnancy status, sex, gender identity or expression, sexual orientation, marital status, mental or physical disability, medical condition, or any other characteristics protected by law. We also make all reasonable accommodations to meet our obligations under laws protecting the rights of the disabled.
Vinli Core Values
Integrity – Doing what you say you will do at Vinli is our way of building trust among our team members, partners, investors and vendors. We believe that maintaining integrity requires an openness and empathy in sharing goals and challenges with others. Drive to Innovate – People at Vinli don’t just love to learn, they feel compelled to use their knowledge to make our Company and the world a better place. We believe in learning from our mistakes and always challenging ourselves to innovate - from the biggest product decisions to the smallest processes. Joyful Work Environment – Loving where you work isn’t about ping pong tables and free snacks. It’s the feeling that you wouldn’t want to be on a project with any other team. It’s the feeling that you can get creative energy just by showing up to work. It’s the feeling that your entire team respects your life away from the job and understands how work impacts it. At Vinli, we believe in building camaraderie and joy in our environment by supporting and encouraging each other every day.
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Data Scientist | Telesign |
Telesign connects, protects and proactively defends companies, customers and the digital interactions between them. With powerful AI that delivers identity with speed, accuracy and global reach, we enable Continuous Trust. Empowering companies to transact, communicate and engage with their customers free of fear, Continuous Trust makes the promise of the digital economy possible.
The Data Science team at Telesign is responsible for both practical and R&D efforts. You will work closely with other data scientists, the product team, and engineering, to ensure a seamless delivery of ML products applied to complex and very large datasets. You will get an amazing opportunity to work on cutting edge data science platforms built on serverless AWS streaming architecture.
Essential Requirements:
Bachelor's degree in Computer Science, Data Science, Information Technology, or related technical or quantitative discipline/field
Curious about business industry and product development
Cross-functional collaboration experience
Ability to research and present to the team on latest technological and data science topics
3+ years of "hands-on" experience in several of the following:
Significant experience in popular Python packages such as numpy, pandas, sk-learn, xgboost
Experience manipulating data in Spark
Previous experience working with SQL and NoSQL databases (such as DynamoDB)
Experience delivering, evaluating, and iterating on models in production
Conceptual understanding of statistical methodologies and many machine learning algorithms with demonstrated application
Data visualization experience with packages such as matplotlib, plot.ly
Preferred Qualifications:
Experience with some of the following specializations: anomaly detection, network analysis and active learning
Previous hands-on experience in Docker and AWS Sagemaker
Familiarity with Tensorflow/Keras
About Telesign:
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.
Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.
Telesign also participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
#LI-Remote
Telesign does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
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Lead Data Scientist Zynga Games | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an experienced Data Science Lead to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:
Explore and develop expertise with cutting-edge infrastructure for model development, deployment, and observability
Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
Produce new methods and workflows for leveraging first-party data sets
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with game studios and advertisers on the delivery of results
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5+ years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
1+ years of Data Science or Software Engineering team leadership experience
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience working with large-scale data sets across a variety of data sources
Track record of clear communication, successful project management, and collaboration with product or business teams
The following experience would be a plus:
Hands-on with deep learning in production pipelines
Ad Tech or Mobile game industry
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Lead Product Data Scientist | Hotel Engine |
We are looking for a Lead Product Data Scientist to join our Data Science & Engineering team and lead the data analytics efforts for our core booking experience vertical. You will partner with our Product and Software Development teams to develop the analytics frameworks, KPIs, experimentations, and deep dive analyses for our core platform, directly influencing our product strategy, prioritization, and delivery. You will be responsible for leading projects that not only help us measure the success and impact of existing and new product features, but also help us understand user behavior and opportunities for product improvements. The individual in this role must be highly motivated, a self-starter with a strong track record of achievements, an obsession for rigorous work and bias for action, and extraordinary communication abilities to lead cross-functional initiatives with both technical and non-technical stakeholders.
If you are passionate about travel, about working on both strategic project and hands-on implementation, and relate to our vision and DNA, please apply.
Here’s what you’ll do:
Partner with product and engineering stakeholders to build data analytics to drive the product strategy, define the roadmap and features of HE’s core booking platform
Design and evaluate experiments to understand the impact of product changes, and translate statistical analyses into clear, concise learnings
Build and monitor success through KPIs, customer behavior data in order to inform product iteration and drive successful performance.
Act as the expert for all product metrics and own tracking of trends, estimation of impact of new features, and all insights related to our users’ journey on the core booking platform (including conversion, segmentation and retention analyses)
Work cross-functionally to instrument user events for all our products ensuring appropriate taxonomy and data governance through Amplitude
Answer ambiguous, unstructured business questions with comprehensive data analyses
Foster a culture of data-driven insights across the organization
Here’s what we’re looking for:
Bachelor’s degree in statistics, economics/econometrics or related quantitative field
5+ years working as a product data scientist/analyst or in a similar role
Experience with web analytics and optimization of conversion / click-through
Experience developing KPIs and OKRs as well as metric goals
Experience analyzing experiments (A/B tests)
Demonstrated ability to analyze large data sets, identify trends, conduct root cause analysis, and present findings
Extensive experience building complex SQL queries, using Python for data/statistical analysis, and building powerful visualizations and reporting
Excellent communication skills and the ability to summarize complex analyses for a non-technical audience
Logically and strategically minded, recognizing that the most impactful but difficult to implement option may not be the most appropriate
Excellent communication skills with the ability to distill complex issues and insights to non-technical audiences
Experience in eCommerce or travel industry a plus
Cash Compensation:
In addition to a compelling equity package, a reasonable expectation for total cash compensation for this role is between $140,000 - $180,000/year (made up of base plus bonus). Final offer amounts are determined by multiple factors, including prior experience, expertise, and may vary from the amount above.
Remote opportunities:
This role is eligible for remote work, and you can work from anywhere in the U.S.
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Senior Data Scientist | Moonpay |
The Team ❤️
You will join a Data team that is here to build up and serve a best in class data platform to the whole company. Your role will be focussed on developing and deploying machine learning models which aim to tackle fraud. In this role you will have a huge opportunity to drive real value in the company.
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀
Develop and deploy machine learning models that are able to detect fraudulent behaviours; reducing fraud and risk to the company
Proactively drive forward initiatives to improve our fraud controls through advanced analytics and machine learning
Conduct deep-dive analysis in order to identify trends in fraudulent behaviours and propose data-driven mitigation insights with a goal of reducing fraud
Contribute to designing our data science platform for efficient model training and experimentation
Work in a cross-functional team with Product, Data Science, Engineering etc
As a Senior you will be expected to:
Mentor and coach other members of the team
Contribute to our overall approach and standards across the machine learning workflow
You should apply if: ✅
You have a proven track record of building, deploying and maintaining machine learning models in a production setting
You have extensive experience working with Python and SQL
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
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 experience working with Google Cloud Platform
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:
Intro call with hiring manager (30 minutes)
Remote take-home task
Technical screening (60 minutes)
Final interviews (90 minutes)
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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Senior Data Scientist Nlp | Clarity Ai |
This position can be based in London or Madrid. Remote options are available as well across the EU.Our MissionAt Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.We are now a team of more than 300 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as BlackRock, Deutsche Börse and Softbank who believe in us and share our goals. We have plans to continue growing our teams in Spain, the UK and the US this year so if you would like to join us on this rocket ship, keep reading!What are we looking for?We like data scientists that work with data in a scientific way and that share our passion for bringing social impact to the markets and making a difference. At Clarity you will help develop the “gold standard” to quantify social impact that will be used by investors, consumers and governments: Use state of the art NLP tools, including the latest large language models, to efficiently extract, classify, and generate sustainability information Working side-by-side with a top-talent team from business and academia. As the ideal candidate for the position: >4 years of working experience as a Data Scientist, 2 years experience with NLP You excel at problem solving: Clarifying the nature of a problem and formulating relevant questions. Breaking down a problem into smaller, more manageable parts, creating business value every step of the way. Deciding among possible solutions in a critical way. Implementing actions and evaluating outcomes in a quantitative way. You have strong communication skills. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity team is based outside Europe. We expect you to have strong communication skills and be able to create working relationships with coworkers across various locations. You possess and know how to share technical expertise: Practitioner of modern NLP tools and techniques for classification, extraction, summarization, regression etc Proficiency in standard tools Preferred Python and its data science ecosystem (spacy, nltk, Hugging Face, OpenAI, etc). SQL and noSQL databases and techniques: Data processing and cleaning Working with limited labeled data and humans in the loop Fine tuning and stacking of models Regression, classification, clustering and other standard algorithms. Bonus points if you have experience in Deploying big data technologies like Spark or Dask Using pipeline orchestration tools like Airflow Work experience in a software company / using software best practices in your day-to-day work You have a start-up way of working: Self-motivation and drive to succeed. Getting-the-job-done mentality. Learn by doing, all the time. Authorized to work in Europe / UK Responsibilities of the role include You are expected to expand the technical expertise of our current NLP team. You will share that expertise by both providing technical guidance to the team and mentoring junior members. Day-to-day, you will have freedom to research, design, validate, and deploy NLP models to improve our current NLP systems. - WHAT WE OFFER:People are one of Clarity’s main assets. We have built a unique team and we all share 3 differential aspects: Excellence, Passion and Values. The team comprises professionals from leading consulting and banking firms, MBA graduates from top business schools, entrepreneurs and researchers and PhDs. Clarity’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognized as one of the most distinguished leaders under the age of 40 by prestigious institutions like the World Economic Forum. We are different. We work hard to become the best place to work and pride ourselves on our culture: Fact based: Promoting objective, fact-based and solution-oriented discussions. Diverse: Encouraging diversity of personalities, cultures and experiences. Transparent: Communicating feedback transparently, constructively and in real-time. Meritocratic: Striving for excellence and rewarding the best. Flexible: Working flexibly in the broadest sense (schedule, location, vacation, styles). We care about our employees. We think that every effort has to be rewarded and want them to feel comfortable with us. ESOP/ Phantom stock: We want our employees to really feel part of Clarity. That’s why we give them the opportunity to participate in our success with ESOP or phantom stock options. Training budget: Continued learning is important to us so we provide everyone with a yearly training budget. Amazing office in London: We are located at 10 York Road, Waterloo. We are a US company with a Spanish and London subsidiary. We have offices in NY, London, Abu Dhabi and Madrid, and a remote culture.Our investors believe in us and share our goals. We are a leading startup thanks to public and private funding.Clarity has received several awards: Young Global Leader to Rebeca Minguela 2017. Top 10 Fintech startup worldwide by BBVA Open Talent. Top 2 start-ups with impact worldwide by IMPACT Growth 2017. One of the most innovative Spanish companies by NeoTec. One of the most innovative projects in the US. Harvard Innovation Lab.
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Staff Product Data Scientist | Mozilla |
Hiring Ranges:
US Tier 1 Locations: $163,000.00 USD - $240,000.00 USD
US Tier 2 Locations: $150,000.00 USD - $220,000.00 USD
US Tier 3 Locations: $139,000.00 USD - $203,000.00 USD
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 Staff 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: R1780
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Data Science Manager | Signifyd |
The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experienced iterative improvements to our remote culture.
How you’ll have an impact:
Owning the decisioning performance for a group of enterprise merchants with household names, executive attention, and a significant bottom line impact to Signifyd.
Collaborating with internal stakeholders across Customer Success, Risk Intelligence, Sales and beyond.
Leading a team of Data Scientists and helping them set goals, collaborate, and provide vision and guidance on key areas to scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Past experience you’ll need:
A degree in an analytical field
2+ years of experience in people management with experience building teams, growing talent and working across departments.
At least 4 years of post-undergrad work experience required
Strong stakeholder management skills
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Experience we love to see:
Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
#LI-Remote
(Colorado and New York City only*) Minimum salary of $160,000 + bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Benefits in our US offices:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Mental wellbeing resources
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
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Lead Data Scientist | Cvs Health |
Job DescriptionHealth Data & Management Solutions, Inc. (HDMS), a subsidiary of CVS Health, is a premier healthcare data analytics company. We work with leading Fortune 500 employers, health plans and provider groups. We transform and enhance claims, eligibility and a wide variety of other data inputs into a high-value decision-support asset for our clients. Over 7,500 users at more than 100 customers use our web-enabled analytic platform for healthcare business intelligence. HDMS is seeking a Lead Data Scientist to join our Customer Experience Team. The Lead Data Scientist is responsible for helping HDMS meet and exceed its corporate goals and expectations. You will be responsible for two distinct areas of responsibility: (1) leveraging their expertise in designing and executing on the analytic plans for key employer clients and offering support for other HDMS account teams; (2) leading the relationship and project management of key employer clients, and will work with an established team composed of clinical, analytic, data science, and customer experience resources.In this role, the Lead Data Scientist supports frequent calls and onsite visits with customers through project management of ongoing and new initiatives with the client. You will develop and deliver on clients’ analytic agendas based on business needs, presents observations and recommendations to clients, coordinates with a diverse, interdisciplinary internal team supporting client analytics. You will also interface and collaborate with benefit consultants and other advisors, as needed. Furthermore, you will:Coordinate with Data Operations in identifying and researching client data related issues. Be responsible for client issue management and issue triage, overseeing data quality assurance for clientsContribute to successful and timely recurring data refreshesServe as first-line product expert to clientsIdentify opportunities for additional revenue by developing additional analytic use cases.To be successful, you will utilize your excellent project management and organizational skills, plus your strong communications and analytical skills to distill complex findings into simple explanations. A demonstrated passion for teamwork and solving business problems will also be key to your success.
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications10+ years of complex analytic experience required, preferable using large claims databases to identify cost, utilization, and population health trends.Experience using analytic solutions for very large databases required. Experience in employer-sponsored healthcare required. Experience in consultative selling required. Strong relationship management experience with complex, flagship client relationships required.
Preferred QualificationsExperience with non-claims data sources within the employer plan-sponsored ecosystem preferred. Willingness to learn new analytic methods.Graduate Degree or Professional licensure preferred.
EducationBachelor’s degree or equivalent experience required
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Senior Data Scientist Payor Relations | Cvs Health |
Job DescriptionThe Data Science and Optimization team is responsible for development of industry-leading analytics solutions to enable a roadmap that drives the technology development & innovation, while delivering high-quality and high-value solutions. This position will be reporting to the Senior Manager of Data Science. The Sr. Data scientist will leverage their deep technical and institutional expertise to drive ML solutions in payor relations and retail analytics while developing products:• That optimize the drug prices at 9700+ pharmacy locations• That enhance customer experience in our retail pharmacy stores. The ideal candidate should have deep AI/ML expertise and a collaborative mindset to inspire the team, align cross-functional stakeholders, and deliver efficient result. They should be able to leverage technology to engage with business stakeholders across the enterprise to work on new applications of data science in payor relations domain. They would be responsible for routine testing of ML solutions to ensure results are consistent with business requirements.We are looking for a candidate that has an ownership mindset to lead a workstream with minimal supervision and has the energy to inspire new initiatives by applying state-of-the art ML/AI and optimization techniques for generating higher impact.The candidate must be experienced in developing end to end solutions across the data science product pipelines with adequate knowledge in fields of data engineering, ML modeling, visualization, server deployments, distributed database management, MLOps and statistics.Responsibilities include• Lead development of complex ML pipelines and statistical models to grow business value by improving our pricing operations• Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in payor relations • Gather business requirements from various stakeholders and lead analysis of massive datasets to synthesize strategies and tactics to solve complex problems• Conduct or coordinate appropriate testing of data/ML solutions to ensure results are consistent with business expectations• Present and communicate meaningful insights obtained from ML model results to technical and non-technical audiences including internal stakeholders and senior leadership
Pay RangeThe typical pay range for this role is:Minimum: 90,000Maximum: 180,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 3+ years of relevant experience working in data science with a track record of delivering insights and business impact• 3+ years of experience with advanced machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning.• 3+ years of expertise using data science, programming, and visualization tools such as Snowflake, SQL, cloud-based ML Ops tech stack and Tableau• Ability to engage with senior business stakeholders, execute level communication and influencing skills• Highly motivated individual willing to upskill with an ability to work in an extremely fast paced environment both individually and with a team. • Prior experience using and managing projects leveraging Cloud technologies (Azure, GCP, AWS, Databricks) • Expert level programming skills in Python or R
Preferred Qualifications• Strong analytics and data skills including solid training in statistics and data analysis, understanding of data management and visualization, ability to interpret outcomes of machine learning models• Domain expertise in time series analysis, demand forecasting and pricing analytics having mastered the techniques across spectrum of complexity – Tree based models, ARIMA, deep learning based time series models.• 3+ years of hand-on experience building neural networks in Tensorflow, Pytorch or Keras for processing structured and unstructured data for applications across industry domains.• Expertise in application of optimization techniques (Mixed Integer, Linear Programimg) and simulation. • Robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc.• Highest level of attention to detail when working within legal and complianceregulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data.
Education• Bachelor’s Degree required• Master’s degree or PhD in Statistics, Computer Science, Mathematics, or related STEM field is preferred.
Business OverviewBring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Apply
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Data Science Manager Iap Roas Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Manager of Data Science to join a team focused on the development of IAP ROAS (Return On Advertising Spend) Machine Learning models that power our real-time bidder, one of the most exciting and important products within Chartboost. These models help predict the propensity for a user to spend money within a mobile game, one of the key KPIs our advertising partners measure for the success of their User Acquisition strategies. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges.
Impact you will make:
Build and manage a team of Data Scientists that has a focus on maximizing the IAP ROAS for our customers
Mentor team members and help guide them in their career development
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
2+ years of experience managing a Data Science team
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles
The following experience would be a plus:
Ad tech and/or Mobile space
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Data Science Manager Ad Roas Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Now we’re looking for an exceptional Data Science Manager to lead a team focused on the development of our product for advertisers who want to optimize their UA efforts toward ad revenue. Ad revenue-generating games are a core part of our advertiser client base, and we are dedicating a group of data scientists to refine the predictive models and feature pipelines to grow this offering.
Impact you will make:
Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
Be a mentor and thought leader for data scientists and machine learning engineers
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business and Product teams to co-own the delivery of results for clients
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
1 to 2 years of Data Science or Software Engineering team leadership experience
Experience with continuously-deployed and frequently-retrained production ML models using a distributed training framework such as Spark, Tensorflow, or Pytorch
Experience using a framework such as Airflow for ETL pipelines development for large and/or fast data
Experience designing and implementing successful data products
Experience in ad tech or mobile game industry
Track record of clear communication, successful project management, and collaboration with product or business teams
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL
The following experience would be a plus:
GCP Data Scientist certification
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Lead Data Scientist Ios Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Lead Data Scientist to join our iOS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. The iOS team will be in charge of designing and implementing solutions for privacy preserving advertisements that would respect the privacy of our users.
Impact you will make:
Own responsibility to solve real data science business problems at scale
Lead and mentor a group of Data Scientists to successfully deploy elegant solutions
Be aggressive at finding new opportunities to deliver customer value
Take projects end to end from concept to production and beyond
Design and test predictive models at large scale that control real money
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in a Data Science or Machine Learning roles
Proven experience leading Data Science or Machine Learning projects from conception to completion
You are passionate about team dynamics and improving team efficiency
You have a sound understanding of Data Science and Machine Learning principles
Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data
Hands-on experience in large scale production grade machine learning systems.
A willingness to branch out to learn new domains/ approaches and make progress independently.
1+ years of experience managing teams
The following experience would be a plus:
Ad Tech or Mobile game industry
Privacy Preserving Advertisement
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Data Scientist Iap Roas Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Senior Data Scientist to join our IAP ROAS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. Chartboost empowers developers to earn high CPMs while connecting marketers to highly engaged audiences through immersive ad experiences. The ROAS team will be in charge of designing and implementing solutions for maximizing the return on advertising spend (ROAS) for our customers.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Develop features in Python, SQL and Scala to improve model performance
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3-5 years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training
Experienced with Python and Scala
Hands-on experience in large scale production grade machine learning systems.
A willingness to branch out to learn new domains/ approaches and make progress independently.
The following experience would be a plus:
Ad tech and/or Mobile Game Industry
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Data Scientist Zynga Games | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an experienced Senior Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training
The following experience would be a plus:
Hands-on with deep learning libraries
Ad Tech or Mobile game industry
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Data Scientist Ios Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Senior Data Scientist to join our iOS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. The iOS team will be in charge of designing and implementing solutions for privacy preserving advertisements that would respect the privacy of our users.
Impact you will make:
Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Develop features in Python, SQL and Scala to improve model performance
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3-5 years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Experience in successfully completing Data Science or Machine Learning projects from conception to completion
Experienced with Python and Scala
Experience in improving performance of queries and data jobs for model training
Hands-on experience in large scale production grade machine learning systems
A willingness to branch out to learn new domains/ approaches and make progress independently
The following experience would be a plus:
Ad Tech or Mobile Game Industry
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Senior Data Scientist Ad Roas Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Now we’re looking for an exceptional Senior Data Scientist as part of a team focused on the development of our product for advertisers who want to optimize their User Acquisition efforts toward ad revenue. Ad revenue-generating games are a core part of our advertiser client base, and we are dedicating a group of data scientists to refine the predictive models and feature pipelines to grow this offering.
Impact you will make:
Develop and refine predictive models that drive a business-critical and highly visible product
Propose and engineer new model features from our continuously growing and diversifying stores of data
Design and evaluate A/B tests of new features and model structures
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and observability
Proactively identify opportunities for cost optimization in model training and serving
Collaborate closely with Product and Engineering teams to co-own the delivery of results for clients
Who you are:
BS/Masters/PhD degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Track record of improving accuracy and efficiency of large-scale ML models
Experience with continuously-deployed and frequently-retrained production ML models using a distributed training framework such as Tensorflow or Pytorch
Experience with ETL pipelines for large and/or fast data using a framework such as Airflow
Intermediate Python proficiency for scripting and model prototyping; experience with Spark or large data frameworks; proficient with SQL
The following experience would be a plus:
GCP Data Scientist certification
Ad Tech or Mobile Game Industry
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Data Scientist Ios Pod | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Data Scientist to join our iOS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. The iOS team will be in charge of designing and implementing solutions for privacy preserving advertisements that would respect the privacy of our users.
Impact you will make:
Design and test predictive models and control algorithms at large scale that control real money and target specific financial goals
Maintain, tune, and enhance production models written with Python and Scala
Propose and engineer new model features using Python, SQL and Scala to improve KPIs
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
2 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL and familiar with Scala
The following experience would be a plus:
Ad Tech or Mobile Game Industry
Perks:
Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Director Data Science New Initiatives | Dropbox |
Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top leaders defining the mission, hiring, guiding your teams and influencing the direction of Dropbox? As a Director of Data Science for this new division, you will exactly get to do that. You will be able to drive the future direction of this new initiative and answer key questions about revenue/user growth. You will build and lead a team of top-tier data scientists and be an inherent part of product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this lead to build a top-tier data-informed culture with a lot of focus on impact and execution.
Responsibilities
You will lead the team in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach
You will partner closely with leadership across all functions - Product, Engineering, Design, Research, GTM, Customer success and Sales
You will have the seat at the table for every key decision for this new initiative
You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale
You will build and manage a team of high performing data scientists to deliver best in class analytics
You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
10+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company
3+ years directly managing data scientists, quantitative researchers, or product analysts
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
Ability to influence prioritization and execution of high impact projects effecting customer experience and monetization
Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact
Good Executive presence with excellent verbal and written communication skills
Previous experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design
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Sr Data Scientist Capital Modeling | Farmer S Insurance |
We are Farmers!
We are… more than just your favorite commercials. We are a passionate, award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn’t just our business – it’s our culture! We are Farmers!
Do you thrive in a high-volume, fast-paced environment? Do you enjoy the challenge of a position where no two days are alike? We are looking for positive, high-energy professionals who are not just looking for a job, but a meaningful career!
Job Summary
This role has responsibilities for the operation, development and use of the capital model within Farmers Insurance.
Provides data modeling services (exploratory and predictive modeling) for line(s) of business and/or shared service functions.
Works on end to end solutions as an individual contributor and as part of the project team, starting with partnering with business leaders to identify project opportunities and clarify modeling requirements.
Conceives and designs complex and innovative analytic models both that include traditional and contemporary data mining technologies, applied to both structured and unstructured data sets.
Responsible for pulling and cleaning datasets, building and testing the models, and presenting results to internal teams and business leaders to demonstrate the business value of each project.
Essential Job Functions
Understands the technical working of the capital model.
Helps explain the capital allocation results from the capital model.
Recommends new and innovative ways to produce insurance risk parameters that balance accuracy and efficiency.
Coordinates with other departments to ensure model calibration is done with accuracy and completeness.
Prepare reports for regulatory submissions and internal documentation summarizing the key drivers of risk and movements in risk.
Leads the design, build and test/validate process for quantitative models (descriptive, predictive, optimization/simulation and others) built using a variety of modeling techniques.
The modeling results could be presented to end users as reports, scorecards, dashboards, web applications or be implemented directly into the line of business workflow with an automated process.
Partners with business leaders to identify project opportunities and clarify modeling requirements, including understanding who will use the potential solution and how it fits into the business process.
Presents modeling results to business leaders and discusses interpretation and application of using the model.
Performs research and development on new modeling algorithms, modeling concepts or technical tools to find applicability to Farmers projects.
Presents results to the senior leadership team and recommends whether researched items should be added to the Farmers Analytics toolkit. Leads team meetings, knowledge sharing and individual learning activities
Perform other job duties as assigned.
Experience Requirements
5-7 years as Data Scientist, Actuary, or related technical role in a delivery oriented environment required. Experience within the insurance industry and insurance data preferred.
Experience with capital modeling preferred.
Experience with programming languages such as Python, R, SQL.
Education Requirements
High school diploma or equivalent required. Bachelor's degree preferred. Masters degree in statistics, operations research or other quantitative analytical field preferred.
Special Skill Requirement
Additional Qualification
Benefits
Farmers offers a competitive salary commensurate with experience, qualifications and location.
o CA Only: $114,080 - $165,400
o CO Only: $107,200 - $142,600
o New York City, NY/Westchester County: $132,320 - $165,400
o WA Only: $114,080 - $152,600
Bonus Opportunity (based on Company and Individual Performance)
401(k)
Medical
Dental
Vision
Health Savings and Flexible Spending Accounts
Life Insurance
Paid Time Off
Paid Parental Leave
Tuition Assistance
For more information, review “What we offer” on https://www.farmers.com/careers/corporate/#offer
Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.
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Senior Data Scientist Sause Team | Signifyd |
The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experienced iterative improvements to our remote culture.
How you'll have an impact:
Be directly responsible for the performance of enterprise merchants with household names.
Research real-time new fraud patterns with our Risk Intelligence team
Improve the important components of the Signifyd Commerce Protection Platform
Communicate complex ideas to a variety of audiences, including executives
Build production machine learning models that identify fraud
Write production and offline analytical code in Python
Work with distributed data pipelines
Collaborate with engineering teams to strengthen our machine learning pipeline
Past experience you'll need:
A degree in computer science or a comparable analytical field
4+ years of post-undergrad work experience required
Experience leading projects
Strong verbal and written communication skills
Strong machine learning and statistical background and a track record of being able to deliver under pressure.
Write code and review others' in a shared codebase in Python
Practical SQL knowledge
Design experiments and collect data
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD
Check out how Data Science is powering the new era of Ecommerce
Check out our Director of Data Science featured in Built In
#LI-Remote
#LI-Remote
(Colorado and New York City only*) Minimum salary of $140,000+ bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Benefits in our US offices:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Mental wellbeing resources
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
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Predictive Analyst Ii | Farmer S Insurance |
We are Farmers!
We are… more than just your favorite commercials. We are a passionate, award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn’t just our business – it’s our culture! We are Farmers!
Do you thrive in a high-volume, fast-paced environment? Do you enjoy the challenge of a position where no two days are alike? We are looking for positive, high-energy professionals who are not just looking for a job, but a meaningful career!
Job Summary
Farmers Group (Warwick, RI) seeks a Predictive Analyst II to work in the research area within the Countrywide Product Management department. Specific duties include: develop and implement advanced analytics and predictive modeling solutions to improve business processes, generate insights, and support business goals and strategy development, using enterprise-caliber data science tools and predictive and statistical models; perform datamining from various sources; identify and integrate new datasets that can be leveraged to improve product, validate data accuracy, and verify data quality to ensure consistent use across the business; develop, deploy and maintain predictive models and monitor model performance to identify opportunities to improve business profitability and operational efficiency across Property & Casualty business; collaborate with stakeholders in different functions to define data collection and analysis requirements and establish adequate business understanding to provide effective analysis; evaluate new technologies, vendors, and cloud services to further strengthen business; and develop new modeling techniques and tools for analytics and reporting. Option to work remotely is available.
Position requires a Master’s degree, or foreign equivalent, in Statistics, or a closely related field of study, plus 2 years of experience in the job offered, or as a Research Consultant, or similar position performing descriptive data analysis, statistical analysis, predictive modeling, and data processing position. Must have 2 years of experience performing descriptive data analysis, statistical analysis, predictive modeling, and data processing. Specific experience must also include: performing descriptive, statistical and predictive data analysis to address real business problems; implementing new programs and initiatives, using SQL, SAS, Python, and R; processing large datasets from different sources for reporting; and working with the following software: Tower Watson Emblem, ArcGIS, and IBM SPSS Modeler. Option to work remotely is available.
Full time position. Apply by submitting your resumes at Farmers.com/Careers, Job ID: 17215.
.
#LI-DNI
LIXfarmers1
#nodice
Benefits
Farmers offers a competitive salary commensurate with experience, qualifications and location.
Bonus Opportunity (based on Company and Individual Performance)
401(k)
Medical
Dental
Vision
Health Savings and Flexible Spending Accounts
Life Insurance
Paid Time Off
Paid Parental Leave
Tuition Assistance
For more information, review “What we offer” on https://www.farmers.com/careers/corporate/#offer
Job Location(s): US - RI - Warwick-700
Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.
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Sr Data Scientist Ads Prediction Machine Learning | Reddit |
Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Machine Learning Data Scientist to work within the Ads Data Science team. You will work closely with engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong ML skills, this person has solid business acumen and understands what is important to advertisers.
Responsibilities:
Build optimization algorithms that improve ad yields and efficiencies. Some of the models we developed over the last year are CTR (Click Through Rate) and CVR (Conversion Rate) Prediction models for the ads. You will not only work on improving existing optimization Machine Learning models but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some algorithms/techniques are Logistic Regression, Gradient Boosted Decision Trees and Deep Learning methods,
Be involved in all phases of modeling, such as ideation, offline modeling, online implementation,experimentation,deployment and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in designing and running experiments.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Required Qualifications:
Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
Proficiency in Machine Learning and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Experience collaborating with engineers, product managers, and other cross-functional teams
A minimum of 5 years of experience (minimum of 2 years with a Ph.D.) in one or more of the following: ML Modeling, Ranking, Recommendations, or Personalization systems.
Experience in online advertising is preferred but not required
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1
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Data Science Intern | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
Who We Are
The data team strives to build out the central nervous system for the whole company in order to drive better and faster decisions via data. Our charters include both Data Engineering and Data Science. It is our responsibility to build world class data infrastructure and tooling to enable company-wide analytics, create insights & models and data products to drive business growth at scale.
We are passionate about helping our graduates kick start their careers through our Development Program. Our graduate training program is underpinned by a development framework that broadens and deepens your knowledge. As a member of the team you will:
-Hone your technical toolkit and soft skills
-Learn from hands-on coaching and an outstanding variety of work
-Develop business, personal and technical skills to use throughout your career
-Be part of an organization who enables development teams to improve Confluent Quality
Your Impact & Who You Are:
As a Data Scientist Intern, you will:
-Partner with Product and Engineering teams to solve problems using data, identify trends and opportunities, and extract useful product insights
-Define, evaluate, and productize success metrics to improve understanding of our products
-Apply modeling techniques to optimize results and guide strategic decisions
-Currently enrolled in Computer Science, Statistics, Operational Research or related Masters or Ph.D program with at least 1 semester/ year of school remaining
-Able to code using SQL or Python (data manipulation)
-Someone who has excellent communication skills both written and verbal
-Smart, humble, and empathetic
-Maintains a positive can-do attitude
-Have a strong sense of teamwork and put team’s and company’s interests first
-You work to a high standard and have a healthy appetite to learn from the team and autonomously
-Driven and excited about challenges of a fast-paced, team oriented & innovative software startup environment
-You display an excitement and passion for your work
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Senior Data Scientist | Divvy Homes |
Why Divvy?
At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.
We’re searching for a Senior Data Scientist to join our growing company. Data science is crucial to nearly every aspect of Divvy’s business, from home valuation, to customer underwriting, to improving the product to better enable our customers to build equity. Day to day, you will perform a mix of exploratory data analysis, statistical modeling, software engineering, stakeholder engagement, and written and oral presentation. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our Head of Data Science & Analytics.
Skills & Experience
You have 3+ years of experience working in data science
You are skilled in R, Python, or both
You are highly capable in SQL
You have a strong understanding of statistical modeling
You communicate clearly in both written and oral form
Bonus points (but not required) for previous real estate experience, credit modeling experience, or A/B testing experience
Perks
Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers
Commitment to Diversity & Inclusion
Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.
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Data Scientist | Divvy Homes |
Why Divvy?
At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.
We’re searching for a Data Scientist to join our growing company. Data science is crucial to nearly every aspect of Divvy’s business, from home valuation, to customer underwriting, to improving the product to better enable our customers to build equity. Day to day, you will perform a mix of exploratory data analysis, statistical modeling, software engineering, stakeholder engagement, and written and oral presentation. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our Head of Data Science & Analytics.
Skills & Experience
You are skilled in R, Python, or both
You are highly capable in SQL
You have a strong understanding of statistical modeling
You communicate clearly in both written and oral form
Bonus points (but not required) for previous real estate experience, credit modeling experience, or A/B testing experience
Perks
Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers
Commitment to Diversity & Inclusion
Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.
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Senior Data Scientist | Salesloft |
Job Title: Senior Data Scientist
Location: Remote - US
WHY YOU’LL LOVE SALESLOFT:
Put Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.
These are the values that define who we are, that have empowered our staggering growth, and could be instrumental to your career development
Headquartered in Atlanta, Georgia, with offices in San Francisco, New York, London, Indianapolis, and Guadalajara, Salesloft is growing rapidly and is looking for future Lofters to join our team. As a testament to our Organizational Health, Salesloft has been named by Forbes as one of America’s Best Startup Employers in 2020, twice by Deloitte as a ‘Fastest-Growing Technology Company in North America,’ featured by The New York Times as a start-up on a path to a $1B valuation, and has been recognized as a ‘#1 Best Place to Work in Atlanta’ three separate years. Salesloft is ranked #1 in the emerging category of Sales Engagement software and is on a mission to equip companies to maximize revenue by creating a fantastic buying experience.
We’re redefining an age old industry! This is challenging work – but our team of brilliant creatives makes the journey thrilling. We’re fast-paced, innovative, and collaborative. We pursue excellence in everything and have a lot of fun along the way. Come join us!
THE OPPORTUNITY:
Although we’re proud of our history, we’re just as excited about the future. We want to create a world-class culture and company that attracts, develops, engages and retains elite talent.
At Salesloft, our data scientists are pivotal to our company’s success. You will be a key member of our fast-growing and high-performing data science team and will conduct innovative machine learning research and build product feature prototypes that will deliver value to our customers.
On a day-to-day basis, you will be responsible for solving business problems using our in-house data and your technical prowess. Specifically, you will:
Drive critical data science projects and initiatives using your technical expertise and leadership.
Apply advanced statistical techniques and concepts to analyze data from the company databases and other unstructured data sources to build innovative product features, marketing content, and internal services.
Invest in the sales engagement domain; collaborate with product, engineering, sales, customer success, and other teams to understand business and customer needs, and translate them to tangible data science problems.
Develop the next generation of AI/ML product features that propel sellers across the world to success.
Design ML architectures and mathematical solutions that are innovative, context-specific and speed up research-to-production timescales.
Contribute to the rapid growth of the research organization, being flexible in data engineering, algorithmist, and analyst responsibilities as they arise.
Always work to “explain your math”. This means both sharing your knowledge with your peers in the team and building interpretable model architectures to programmatically explain results to users and customers.
In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to leverage your mathematical skills and technical expertise to transform the sales engagement space. You will have an opportunity to make a difference.
WHAT WE’RE LOOKING FOR:
We are seeking a hungry and passionate person who will be instrumental in growing the data science organization at the most successful early stage SaaS company in Atlanta. We are looking for a skilled senior data scientist who exhibits exceptional data science know-how, strong business sense and deep understanding of software development principles, who chose this profession not just because they love all things data, but also (and even more so) because they want to make an impact and help customers.
If you’re looking for an opportunity to learn more, do more, and become more than previously possible… If you're passionate about innovation, growth and serving customers and thrive in a fast-paced, developmental environment, then becoming a Senior Data Scientist at Salesloft is the career path for you!
THE TEAM:
Our Salesloft’s Data Science team is comprised of seasoned and up-and-coming data scientists, machine learning engineers and a product leaders who are all aligned on one vision and mission:
Vision: Every seller is loved by the buyers they serve (#saleslove)
Mission: Equip companies to maximize revenue by creating a fantastic buying experience
The Data Science team consists of results-oriented technology professionals who are hungry, humble and smart. They are passionate about making Salesloft the leader in AI technologies in the sales engagement space and believe in leveraging data science and machine learning to guide and help our users. They are also the epitome of our core values - Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.
THE SKILL SET:
5+ years experience as a data scientist or machine learning engineer
2+ years experience with deploying data science features in production
Strong knowledge/experience with Python (or similar object oriented programming language) and SQL (any dialect). Experience with Spark or Dask preferred.
Expert in a variety of ML techniques (clustering, decision tree learning, artificial neural networks, etc.), has a fundamental understanding of their real-world advantages/drawbacks as well as ability to build their own novel techniques
Excellent verbal and written communication skills and visualization abilities
Prior experience of working with unlabeled and unstructured data
Experience with time series forecasting and/or natural language processing preferred
WITHIN ONE MONTH, YOU’LL:
Attend Salesloft’s New Hire Orientation, where you will learn our Salesloft story and understand what makes our “Lofters” unique
Begin 1:1’s with your manager, understand your 30-60-90 plan, meet & shadow current members of the Salesloft team, and delve into your territory
Set your OKRs (Objectives and Key Results) with your manager and develop an action plan to achieve them
Meet key partners in Product, Engineering, Customer Success etc.
Begin your first data science project
WITHIN THREE MONTHS, YOU’LL:
Create a shadowing plan and begin executing it to understand the Salesloft platform.
Apply various machine learning and data science techniques to solve sales business problems.
Lead and deliver your first research project.
Communicate research results to product and engineering leadership in verbal, visual, and written mediums.
Mentor other team members and assist them in tackling new problems.
Get into the habit of receiving and providing feedback regularly and freely with your teammates
WITHIN SIX MONTHS, YOU’LL:
Significantly contribute to team planning and estimation.
Continue to focus on your OKRs and delivering data science research.
Advise product leadership on data science data capture and collection requirements.
Collaborate with our machine learning engineers and software engineers to put your models in front of our customers.
Guide team and set direction on architectural and tooling best practices.
WITHIN TWELVE MONTHS, YOU’LL:
Be a key advisor on team direction and Salesloft’s long-term data science strategy.
Lead strategic initiatives to improve team processes, strengthen technical capabilities and/or inform our AI/ML product roadmap.
Collaborate with subject matter experts to develop success criteria to deliver new products, features and models.
Push the state of the art and apply the latest advances in deep learning and mathematical modeling to improve buyer and seller experiences.
IS THIS ROLE NOT AN EXACT FIT? Keep an eye on our Careers Page for other positions!
WHY SHOULD YOU WORK AT SALESLOFT:
You will become part of an amazing culture with a supportive CEO and smart teammates who actually care
You will work with an amazing team you can learn from and teach
You will experience joining a high-growth/high-traction organization
You will hear “Yes, let’s do that!” and then have the opportunity to successfully execute on your ideas
We have a vibrant, open office that utilizes modern technology
You will grow more here than you would anywhere else, that is a promise
Salesloft is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.
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Data Scientist | Salesloft |
Job Title: Data Scientist
Location: Atlanta / NE Remote
WHY YOU’LL LOVE SALESLOFT:
Put Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.
These are the values that define who we are, that have empowered our staggering growth, and could be instrumental to your career development
Headquartered in Atlanta, Georgia, with offices in San Francisco, New York, London, Indianapolis, and Guadalajara, Salesloft is growing rapidly and is looking for future Lofters to join our team. As a testament to our Organizational Health, Salesloft has been named by Forbes as one of America’s Best Startup Employers in 2020, twice by Deloitte as a ‘Fastest-Growing Technology Company in North America,’ featured by The New York Times as a start-up on a path to a $1B valuation, and has been recognized as a ‘#1 Best Place to Work in Atlanta’ three separate years. Salesloft is ranked #1 in the emerging category of Sales Engagement software and is on a mission to equip companies to maximize revenue by creating a fantastic buying experience.
We’re redefining an age old industry! This is challenging work – but our team of brilliant creatives makes the journey thrilling. We’re fast-paced, innovative, and collaborative. We pursue excellence in everything and have a lot of fun along the way. Come join us!
THE OPPORTUNITY:
Although we’re proud of our history, we’re just as excited about the future. We want to create a world-class culture and company that attracts, develops, engages and retains elite talent.
At Salesloft, our data scientists are pivotal to our company’s success. You will be a key member of our fast-growing and high-performing data science team and will conduct innovative machine learning research and build product feature prototypes that will deliver value to our customers.
On a day-to-day basis, you will be responsible for solving business problems using our in-house data and your technical prowess. Specifically, you will:
Apply advanced statistical techniques and concepts to analyze data from the company databases and other unstructured data sources to build innovative product features, marketing content, and internal services.
Invest in the sales engagement domain; collaborate with product, engineering, sales, customer success, and other teams to understand business and customer needs, and translate them to tangible data science problems.
Develop the next generation of AI/ML product features that propel sellers across the world to success.
Design ML architectures and mathematical solutions that are innovative, context-specific and speed up research-to-production timescales.
Contribute to the rapid growth of the research organization, being flexible in data engineering, algorithmist, and analyst responsibilities as they arise.
Always work to “explain your math”. This means both sharing your knowledge with your peers in the team and building interpretable model architectures to programmatically explain results to users and customers.
In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to leverage your mathematical skills and technical expertise to transform the sales engagement space. You will have an opportunity to make a difference.
WHAT WE’RE LOOKING FOR:
We are seeking a hungry and passionate person who will be instrumental in growing the data science organization at the most successful early stage SaaS company in Atlanta. We are looking for someone who enjoys, and is unafraid of, getting their hands dirty with unstructured, unlabeled data and can think out of the box to solve business problems.
If you’re looking for an opportunity to learn more, do more, and become more than previously possible… If you're passionate about innovation, growth and serving customers and thrive in a fast-paced, developmental environment, then becoming a Data Scientist at Salesloft is the career path for you!
THE TEAM:
Our Salesloft’s Data Science team is comprised of seasoned and up-and-coming data scientists, machine learning engineers and a product leaders who are all aligned on one vision and mission:
Vision: Every seller is loved by the buyers they serve (#saleslove)
Mission: Equip companies to maximize revenue by creating a fantastic buying experience
The Data Science team consists of results-oriented technology professionals who are hungry, humble and smart. They are passionate about making Salesloft the leader in AI technologies in the sales engagement space and believe in leveraging data science and machine learning to guide and help our users. They are also the epitome of our core values - Customers First. Team Over Self. Focus on Results. Bias Towards Action. Glass Half Full.
THE SKILL SET:
2+ years experience as a data scientist or machine learning engineer
Strong knowledge/experience with Python (or similar object oriented programming language) and SQL (any dialect). Experience with Spark or Dask preferred.
Proficient in a variety of ML techniques (clustering, decision tree learning, artificial neural networks, etc.) and has a fundamental understanding of their real-world advantages/drawbacks
Excellent verbal and written communication skills and visualization abilities
Experience with deploying data science products in production or collaborating with engineers to deploy in production preferred
Prior experience of working with unlabeled and unstructured data. Experience with time series forecasting and/or natural language processing preferred.
WITHIN ONE MONTH, YOU’LL:
Attend Salesloft’s New Hire Orientation, where you will learn our Salesloft story and understand what makes our “Lofters” unique
Begin 1:1’s with your manager, understand your 30-60-90 plan, meet & shadow current members of the Salesloft team, and delve into your territory
Set your OKRs (Objectives and Key Results) with your manager and develop an action plan to achieve them
Meet key partners in Product, Engineering, Customer Success etc.
Understand our various data sources and get your hands dirty with them
Explore our technical stack and infrastructure and get comfortable with them
WITHIN THREE MONTHS, YOU’LL:
Create a shadowing plan and begin executing it to understand the Salesloft platform.
Apply various machine learning and data science techniques to solve sales business problems.
Create custom ETL capabilities to support your research efforts.
Complete and deliver your first research project.
Communicate research results to product and engineering leadership in verbal, visual, and written mediums.
Get into the habit of receiving and providing feedback regularly and freely with your teammates.
WITHIN SIX MONTHS, YOU’LL:
Contribute to team planning and estimation.
Continue to focus on your OKRs and delivering data science research.
Advise product leadership on data science data capture and collection requirements.
Collaborate with our machine learning engineers and software engineers to put your models in front of our customers.
WITHIN TWELVE MONTHS, YOU’LL:
Mentor other team members and assist them to tackle new problems.
Be a key advisor on team direction and Salesloft’s long-term data science strategy.
Collaborate with subject matter experts to develop success criteria and deliver new products, features and models.
Push the state of the art and apply the latest advances in deep learning and mathematical modeling to improve buyer and seller experiences.
IS THIS ROLE NOT AN EXACT FIT? Keep an eye on our Careers Page for other positions!
WHY SHOULD YOU WORK AT SALESLOFT:
You will become part of an amazing culture with a supportive CEO and smart teammates who actually care
You will work with an amazing team you can learn from and teach
You will experience joining a high-growth/high-traction organization
You will hear “Yes, let’s do that!” and then have the opportunity to successfully execute on your ideas
We have a vibrant, open office that utilizes modern technology
You will grow more here than you would anywhere else, that is a promise
Salesloft is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.
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Senior Data Scientist | Turntide Technologies |
Senior Data Scientist
Turntide Technologies is helping turn the tide on climate change with breakthrough technologies that accelerate electrification and sustainable operations for energy-intensive industries. We develop full-stack, integrated, open systems that support commercial and industrial electric vehicles, building operations, and agriculture to optimize how the world uses energy, so every watt is worthwhile for humanity. We’re looking for curious, intelligent, collaborative people from diverse backgrounds who want to make a real impact on the sustainability of our planet.
The Job
The Data Scientist will apply state of the art machine learning technologies to gain insights into Turntide devices and other relevant connected IoT devices with the goal of reducing downtime and improving the life expectancy of devices through automated and remote adjustments and alerting for those devices as well as expanded utility of the collective devices. The role will be required to implement and deploy end-to-end pipelines to deliver direct value to the business. This role will require a hands-on Data Scientist with experience in modeling challenging Data Science use cases.
You will be in a visible position that requires direct interaction and collaboration with peers and leaders across businesses and functions. You will work on innovative devices and push the limits of data science by using subject matter expertise. You are a quick starter and able to adapt quickly to a complex, rapidly growing and ever-changing environment. You will be encouraged to think like an owner and be accountable for all of the phases of a complex production deployment. You are experienced in predictive maintenance and presenting machine learning technologies to non-Data Scientists. You will leverage a variety of data including device sensor data as well as publicly available data like weather or geospatial data.
At this point, we hope you're feeling excited about the job description you’re reading. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Turntide's mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
Job Responsibilities
Drive Turntide business insight through data and machine learning techniques in combination with engineering and domain expertise
Architect effective machine learning pipelines and drive industry best practices for Turntide devices.
Present and clearly communicate machine learning projects, outcomes and insights to stakeholders and external customers
Represent as a subject matter expert (SME) in Data Science and predictive maintenance solutions within Turntide
Collaborate with Data Engineering, Product, and Engineering and Product Quality teams to create value for our ourselves and our customers
Maintain currency in emerging technologies and methodologies in an effort to continue to improve solutions and apply continual learning practices within the Data Science discipline
Specific innovation focus areas include building solutions to allow for community data scientist activation (accelerating time to insight / value), leveraging AI/ML for task automation and the development of autonomous systems through advancements in simulation capability, digital twins and control optimization
The Requirements
7+ years hands on experience working as a Data Scientist using a variety of data sources such as geospatial data, mechanical system sensor data, and maintenance records.
M.Sc. Degree in Mechanical Engineering, Computer Science, Math or equivalent. Ph.D. Degree is preferred
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Proven track record of applied complex problem-solving and critical thinking towards new and innovative solutions.
Ability to excel in a fast-paced and entrepreneurial environment with high degree of autonomy and accountability
Bonus Points
Experience with cloud based data science platforms like AWS, Azure or DataIku
Experience in technology innovation practices
Proven track record of successful publications
The Upside
Competitive salary + equity
100% company paid family health insurance (medical, dental, vision)
Retirement contribution match
Open Paid-Time-Off policy
Work from one of our 5 offices or join the 70% that work remotely
Autonomy and flexibility to build green tech from the ground up
Incredible growth potential - we are revolutionizing the electric motor industry
Turntide Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws.
Please note: Direct applications only. No unsolicited Staffing Recruitment Firm submissions will be accepted. Any unsolicited CVs received will be treated as the property of Turntide Technologies.
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Data Scientist Building Automation Systems | Turntide Technologies |
Data Scientist Building Automation Systems
Turntide Technologies is helping turn the tide on climate change with breakthrough technologies that accelerate electrification and sustainable operations for energy-intensive industries. We develop full-stack, integrated, open systems that support commercial and industrial electric vehicles, building operations, and agriculture to optimize how the world uses energy, so every watt is worthwhile for humanity. We’re looking for curious, intelligent, collaborative people from diverse backgrounds who want to make a real impact on the sustainability of our planet.
The Job
The Data Scientist will apply state of the art machine learning technologies to gain insights into Turntide devices and other relevant connected IoT devices with the goal of reducing downtime and improving the life expectancy of devices through automated and remote adjustments and alerting for those devices as well as expanded utility of the collective devices. The role will be required to implement and deploy end-to-end pipelines to deliver direct value to the business. This role will involve the conception, planning, research, analysis, and implementation of advanced analytics for Building Automation Systems (BAS). Your work will minimize energy costs, reduce unplanned downtime, and deliver operational insights to our Building customers.
You will be in a visible position that requires direct interaction and collaboration with peers and leaders across businesses and functions. You will work on innovative devices and push the limits of data science by using subject matter expertise. You are a quick starter and able to adapt quickly to a complex, rapidly growing and ever-changing environment. You will be encouraged to think like an owner and be accountable for all of the phases of a complex production deployment. You are experienced in predictive maintenance and presenting machine learning technologies to non-Data Scientists. You will leverage a variety of data including device sensor data as well as publicly available data like weather or geospatial data.
At this point, we hope you're feeling excited about the job description you’re reading. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Turntide's mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
Job Responsibilities
Drive Turntide business insight through data and machine learning techniques in combination with engineering and domain expertise
Architect effective machine learning pipelines and drive industry best practices for Turntide devices.
Present and clearly communicate machine learning projects, outcomes and insights to stakeholders and external customers
Collaborate with Data Engineering, Product, and Engineering and Product Quality teams to create value for our ourselves and our customers
Maintain currency in emerging technologies and methodologies in an effort to continue to improve solutions and apply continual learning practices within the Data Science discipline
Specific innovation focus areas include building solutions to allow for community data scientist activation (accelerating time to insight / value), leveraging AI/ML for task automation and the development of autonomous systems through advancements in simulation capability, digital twins and control optimization
The Requirements
4+ years hands on experience working as a Data Scientist using a variety of data sources such as geospatial data, mechanical system sensor data, and maintenance records.
M.Sc. Degree in Mechanical Engineering, Computer Science, Math or equivalent. Ph.D. Degree is preferred
Experience in developing analytics for HVAC/Refrigeration or Building Automation Systems (BAS)
Knowledge of a variety of machine learning techniques (time series models, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Proven track record of applied complex problem-solving and critical thinking towards new and innovative solutions.
Ability to excel in a fast-paced and entrepreneurial environment with high degree of autonomy and accountability
Bonus Points
Experience with cloud based data science platforms like AWS, Azure or DataIku
Experience in technology innovation practices
Knowledge of data visualization best practices and tools (Tableau, QlikView, PowerBI, Python plotting libraries)
Knowledge of Variable Refrigerant Flow (VRF) systems
The Upside
Competitive salary + equity
100% company paid family health insurance (medical, dental, vision)
Retirement contribution match
Open Paid-Time-Off policy
Work from one of our 5 offices or join the 70% that work remotely
Autonomy and flexibility to build green tech from the ground up
Incredible growth potential - we are revolutionizing the electric motor industry
Turntide Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws.
Please note: Direct applications only. No unsolicited Staffing Recruitment Firm submissions will be accepted. Any unsolicited CVs received will be treated as the property of Turntide Technologies.
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Subsets and Splits