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Manager Of Analytics And Data Science | Statespace |
Who We Are
At Statespace we’re using cognitive science, artificial intelligence, and video games to revolutionize the way that humans improve.
Our first product, Aim Lab, is a personalized training platform that helps gamers learn about their strengths and weaknesses and train for the game they love. Aim Lab has over 20 million players around the world and is available for free on Steam and even on Roblox. Aim Lab also has official partnerships with some of the biggest publishers, including Riot, and Ubisoft.
Our team consists of scientists, designers, engineers, and game industry vets coming together from places like NYU, MTV, NASA, Yale, Nintendo, and the NFL. We are well-funded and supported by some of the world’s best investors and entrepreneurs, including Khosla Ventures, FirstMark Capital, Lux Capital, Expa Capital, and WndrCo.
Our Culture
Weird. Non-traditional background. Underdog. Outcast. If people have used any of these words or phrases to describe you...welcome home. Kick-ass engineer or designer without a degree? Come join our team.
We hire talented, self-motivated people and get out of their way. We are based in NYC but have a remote work culture and are looking for exceptional people to join our team regardless of their physical location.
We value performance, not hours worked (or when you work them). We believe you shouldn’t have to miss your kid’s play or doctor’s appointment for the sake of adhering to an arbitrary work schedule.
However, if you are looking for a job where you are happy to just collect a nice paycheck and/or nap under your desk like George Costanza, we are not the right fit for you (we don’t even have desks).
The work we do is hard, and therefore, a key company goal is to mitigate needless obstacles that prevent our team members from accomplishing their goals. To that end, our vacation policy is “take it whenever you want to”, our PTO policy is “take it whenever you need to”. We offer very generous medical, dental, vision, and retirement plans.
Manager of Analytics and Data Science
We're looking for a smart, self-directed Manager of Analytics and Data Science who is comfortable bringing new ideas to the table and can stay calm under the uncertainty of building something totally new. We're always balancing our efforts between young and mature projects, so you'll get along great with us if you aren't afraid to iterate quickly on fresh ideas, but also take pride in running a stable ship.
Key Responsibilities
Serve as a strategic partner to various business units with emphasis on 3rd party data partnerships and integrations
Participate in buildout and maintenance of data ETL
Analysis and deliverables resulting in production output such as: player skill metrics, win expectancy, wins above replacement
Ownership of all 3rd party data integrations and transformations
Ideal Skills
Must be passionate and actively engaged in gaming/video gaming/esports culture
6-10+ years of experience in data analytics/data science role
High level proficiency of SQL
Experience performing data analysis and statistical modeling using the R or Python
Ability to created scalable, accurate, and appropriate models based on complex business problems and data sets
Comfortable presenting analytical findings resulting in recommendations for change
Can collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
Self-motivated, thrives in environments of ambiguity, experience initiating and driving projects with minimal oversight and guidance
Experience developing ETL pipelines leveraging SQL and Python
We believe in hiring the best, the brightest, and cultivating a culture of collaboration and appreciation. You will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, religion, sex, sexual orientation, gender identity, national origin, marital status, citizen status, age, disability, military or protected veteran status, genetic predisposition or carrier status or any other legally protected status.
This job may be performed remotely from anywhere in the United states, except that this job may not be filled or performed in Colorado.
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Staff Data Scientist Ecosystem Analytics | Reddit |
The mission of our newly formed Ecosystem team is to support Reddit’s strategy through the independent evaluation of new initiatives & by being the source of truth of company-level product performance metrics. We are looking for a Staff Data Scientist who would like to join our organization and help build our Ecosystem vertical. If you would like to join a thriving new area that is driving the conversation on the most strategic decisions Reddit will take at the executive level over the next months and years, we have a role for you!
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
You will be the eyes and brain behind getting a foundational understanding of how Reddit works, and the expected impact of various different strategic initiatives. You will steer Reddit’s strategy and guide the company’s investment so we can fulfill our mission of bringing a sense of community and belonging to everybody in the world.
What You’ll Learn:
You will be exposed to the ins and outs of everything that is happening at Reddit, and as a result will learn about every single strategic area that is being created
You will work directly with senior leadership and every Data Science team embedded across the organization
What You’ll Do:
Lead the definition and reporting of Reddit’s core product metrics across all levels of leadership, including Reddit executives
Create and evangelize the analytical frameworks, metrics strategy and data models to evaluate product/company performance and guide strategic decisions
Leverage your experience in causal inference and analytics to understand the impact of various products, features and launches on Reddit’s core business metrics
Collaborate with your peers across Data Science and Data Platform to guide an overarching data strategy for Reddit, including a plan for robust data validation and data quality
Establish yourself as a leader and mentor within the broader Data organization
Who You Might Be:
8+ years of experience (6+ years of experience with an advanced quantitative degree) in Data Science or Analytics function in a tech consumer company
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Familiarity with causal inference techniques and experimentation
Experience writing ETLs
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience with product metrics across different areas, including new metrics definition
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Experience working with senior cross-functional stakeholders (VP, C-level)
Bonus Points: Experience working with Finance and/or Corporate Strategy teams
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Data Scientist Analytics Ads Measurement | Reddit |
We are looking for a Data Scientist to work within the Ads Data team and support Marketing Sciences initiatives. You will work closely with engineers and product owners from our Ads and Marketing teams to build measurement solutions for advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Build measurement methodology such as conversion lift studies, brand insights tools, 3rd party integrations with measurement partners.
Build scalable solutions by integrating lift study infrastructure into our in-house experimentation platform.
Investigate discrepancies between 1st party and 3rd party mobile conversion data and identify gaps and product changes to improve our conversion coverage.
Run and evaluate multi-cell experiments against counterfactuals and wrangle with data issues and biases.
Test out various statistical approaches to deal with data insufficiency and under-powered tests.
Build ETLs and data aggregations to improve our understanding of ad performance and develop best practices for advertisers and account managers.
What We Can Expect From You:
Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, computer science)
Proficiency in Statistics
Proficiency with Python programming languages
Knowledge and experience with big data tools (SQL, Big Query, Spark, Hadoop)
Experience with dashboarding tools and data visualization
Experience with workflow scheduling (such as Airflow) and data pipelining
Familiarity with experimentation and causal inference analyses
Master’s degree preferred but not required
2+ years of experience in analytics roles, preferably in the Ads domain
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Data Science Manager Growth | Reddit |
We are looking for a Data Science Manager to lead the User Growth analytics team. You will partner closely with cross functional team leaders such as Product, Engineering, Design, UXR and other leaders in utilizing data to drive decision making. In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our User Growth strategy in a data driven manner.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
The Growth team oversees onboarding efforts for new users, push notifications and emails for new and existing users, as well as top of funnel efforts such as SEO. You will manage a team of high-performing, highly motivated data scientists to unlock user growth for the company.
As a data science leader, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Your work will not only impact millions of users and thousands of advertisers but also act as a data foundation for our rapidly growing business.
What You’ll Learn:
You will closely partner with our Product and Engineering teams to drive user growth for the company. Your team will play a key role in developing user product strategy and experiments. You’ll partner with senior stakeholders to share data insights with the company.
In addition, your team will work side by side with a world-class organization of Engineering, Machine Learning, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.
What You’ll Do:
Own the vision and roadmap for the Growth Data Science team to focus on high impact levers that inform product decision making
Build and mentor a team of highly motivated, high-performing data scientists and deliver business outcomes
Partner closely with Product and Engineering directors on org processes, learnings, and opportunities to establish a data-driven product lifecycle culture
Lead the team in conducting exploratory analysis for millions of users to understand their lifecycle, retention patterns and how we can serve them better
Lead the team in conducting product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.
Who You Might Be:
6+ years of experience in data analytics or related quantitative role
2+ years of experience in the tech growth space
2+ years of experience managing a team of 5 or more Data Scientists.
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability 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)
Good understanding of Machine Learning techniques and platforms.
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Manager Data Science | Udacity |
At Udacity, the Data Team is deployed to inform and empower the business with insight, and we use machine learning to help more students have a delightful experience reaching their learning goals. We are looking for a Data Science Manager to help advance that vision as both the leader for our data science group and a practitioner of Machine learning techniques including: Deep Learning, Natural Language Processing, Recommendation Systems, and Computer Vision. You will manage a growing team of data scientists to partner with Product and other business stakeholders to develop predictive models and algorithms to power data products. You will provide direction & thought leadership to continuously increase the quality & impact of our data science efforts. This is a chance to improve lives and transform talent around the world at Udacity, and your success as part of a world-class analytics organization will be visible up to the highest levels of the company.
Your Responsibilities:
You will report to Udacity’s Head of Data (based in California) as the owner of Udacity’s Data Science function, part of the larger central Data Team consisting also of analytics, data engineering and BI. You will work closely with business leadership to ensure that your team’s work supports business objectives and growth.
The ideal candidate is excited to be a player/coach at this stage of our Data Science team’s growth.
Be a leader. Form a vision & roadmap for how data science will create value. Identify priorities and overcome blockers. Drive quality project delivery, engage with senior business partners and enforce best practices. Manage, develop and grow a team of high performing data scientists.
Be a productive data scientist. Explore data, develop models, deploy to production, monitor & measure the impact. Enhance our ML platform and system designs with the aim of bringing together various open-source and in-house tools to streamline ML workflows.
Influence and execute Udacity’s strategy for an AI-powered personalized talent platform. Address machine learning problems around recommendation engines, personalization, and other classification/regression problems.
Work cross functionally with other data functions and leadership to contribute to our team and company culture.
Drive ML projects from end to end. Translate a business need into a framework, effectively collaborate with stakeholders, deliver a robust solution and drive measurable impact & adoption.
Identify new opportunities to experiment and build new algorithmic capabilities from the ground up.
What we value:
Bring 6+ years of professional data science or related experience and a team-player attitude. You have experience with both leading people and collaborating with a global team.
You have advanced programming experience (Python, R, SAS, Matlab). Familiarity with Sagemaker is a plus.
You have advanced database knowledge (SQL, Redshift, Postgres, Presto, AWS).
Experience with machine learning frameworks including scikit-learn, TensorFlow and Pytorch.
Experience deploying machine learning models into production.
You have superior critical thinking skills to develop novel data solutions, and you’re able to both produce immediate value while still keeping an eye on long-term strategy and scalability.
You are an excellent leader, having proven your ability to direct teams and apply best practices of project management, and you have effective communication and influence skills with both technical and business personas.
You take ownership seriously and hold yourself accountable to always deliver in a reliable manner. You thrive at a fast pace and managing multiple work streams.
Preferred Experience:
Experience deploying ETLs with Airflow and/or Spark.
As an inspiring data scientist, you apply business understanding to deliver truly impactful data solutions.
You are a curious self-starter, driven to solve problems and find answers. You take charge and flourish when meeting a challenge.
You are excited to ask questions, push boundaries and follow where data leads in pursuit of new opportunities.
You enjoy working in a highly dynamic environment where your decisions have a significant impact.
Knowledge of Deep Learning, Natural Language Processing, Reinforcement Learning or Self Learning.
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Senior Data Scientist | Instacart |
About Us:
Cart.com is an ecommerce software and services company on a mission to democratize ecommerce and give digital merchants the freedom to grow. We are integrating all the pieces of the ecommerce value chain brands need to thrive, creating a truly end-to-end Ecommerce-as-a-Service platform that helps third party brands move faster, grow more quickly, and deliver on their promises more completely.
Job Summary:
The Data Science team at Cart.com is a centralized team that reports directly to the CEO and is responsible for all things data, analytics, and ML/AI of Cart.com. The Data Science department consists of four separate departments. Our team consists of Cloud Architects, Data Engineers, Software Engineers, Data Scientists, Machine Learning Engineers, and Data Viz specialists.
This role sits in the Data Science Solutions department while working cross-functionally with the Marketing as a Service team. Our Data Scientist will be providing service-based data science solutions to our brands and will be integral in turning service-based offerings into product-based solutions with our software & machine learning engineers by your side.
Prior experience with exposure to acquiring users in Direct to Consumer Brands cross-consumer products is a plus. This role will include projects ranging from: (Propensity models, Customer Profiling & Segmentation, Recommendation engine, Clustering, MMM, Incrementally, MTA, A/B Testing and Design, ad hoc advanced analysis, etc.)
Cart's vision and mission are to disrupt longstanding players in the value chain of e-commerce by designing a distributed network of capabilities that are 10x cheaper, 10x more convenient, and 10x better. This Data Scientist is integral to this mission.
Responsibilities:
Expert knowledge & presentation of advanced marketing analytics concepts & hands-on experience applying data science solutions to business problems
Manage data science modeling life cycle, - design, develop, evaluate, deploy, serve, monitor, and maintain
Ability to execute complex analytics projects where client objectives are ambiguous
Discover business problems & areas of opportunities by proactively collaborating with business teams and translate business questions into quantitative analyses that generate revenue for Cart.com
Develop data science products into the Cart.com platform, working with engineers & software developers to automate services into products including but not limited to: Marketing, Pricing and Merchandizing, Site Personalization, Logistics, and Supply Chain
Push the boundaries of what is believed to be possible concerning personal growth and technology to ensure the success of our team and the customers of Cart.com
Experience:
3-5+ years of experience as a Data Scientist in an eCommerce Environment with substantial exposure to working with advertising
Expert working knowledge of advanced data science tools & scripting skills in R or Python. (Clean document in-line code for replicability) with exposure to some flavor of a SQL database
Experience creating useful predictive models: examples of using predictive analysis effectively to solve critical business problems
Exposure and comfort working with core Machine Learning foundational algorithms - specifically including all unsupervised and supervised
OUR CORE VALUES:
These aren’t just buried somewhere in an employee manual. We live and breathe them. They are on the walls and live in our hearts. They come up constantly in conversations and actions. They govern the decisions of the newest hire all the way up to our CEO:
WE ARE OBSESSED WITH BRANDS
We live for brands and are fanatical about their success.
WE THINK BEYOND THE BOX
We explore new ideas and discover creative solutions. We think openly about how to serve brands and solve problems.
WE DON'T GIVE UP
No one expected this to be easy. We are resilient— we dig in and keep going.
WE SPEAK UP
Every person here has an obligation to question norms, voice concerns, and offer their perspective.
WE WORK TOGETHER
We work with integrity and respect, ask for help, and extend the same help to others.
WE ARE HUMAN
Our people are our biggest strength. We have fun and make real connections with one another and with the brands we serve.
Cart.com is deeply committed to building a diverse and inclusive workplace. We’re proud to be an equal opportunity employer, seeking to identify and onboard people from all walks of life. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.
#LI[SD1]
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Principal Data Scientist Us | Andela |
What you’ll do:
Understand Andela’s platform, value proposition, and roadmap by working with stakeholders across the entire organization - from commercial leaders, to business operators, to product and engineering teams.
Take ownership of high-visibility projects across the product and engineering organization to help create innovative solutions for a category-defining platform
This role is founded in research and development, so you’ll be tasked with, and have the opportunity to define, unique phenomena that occur at Andela - and will be responsible for informing and guiding technology solutions to drive efficiencies here at scale
Drive a culture of experimentation-driven product development. A/B testing and variance analysis should be core to your skillset
Own the excitement of entropy! Our platform, products, and offerings are constantly changing and expanding. We encourage and enable each individual at Andela to drive a commercial idea when they identify one, which creates an ever-changing data landscape.
Who you are:
At home in an environment where you are responsible for taking action with stakeholders to drive change!
4+ years experience working in data-driven analytics/predictive analytics/statistical modeling/data mining
Ability to code in Python and write complex, efficient SQL queries to extract data
Experience with A/B testing and ability to run rigorous experiments to come up with scientifically sound recommendations
Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making
Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact
Preferred Qualifications:
Bonus points but not required, having worked on Search ranking, Ad-tech, Supply Chain, Risk or Fraud
Experience building ML models
PhD or MS in computer science, machine learning, statistics, physics
Interesting side projects or Kaggle competition results
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Senior Data Scientist | Webflow |
Webflow is a visual web development platform that empowers non-coders to create incredible experiences for the web.
We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. As an early member of our data team, you will also be working to improve our data warehouse by thoughtfully developing clean and reliable data pipelines for lasting impact. We are looking for an empathetic, humble, curious and collaborative team member who is excited to provide meaningful, actionable insight to teams at Webflow while helping to shape our foundational data capabilities.
About the role
Location: San Francisco HQ or remote (US timezone)
Full time
As a Data Scientist you’ll…
Enable our product teams with quantitative analysis to understand how customers engage with Webflow, diving deep into impactful questions alongside key stakeholders and delivering actionable insights
Analyze product and business success metrics, monitoring and surfacing drivers of KPIs (Key Performance Indicators)
Partner with technical and non-technical team members to execute experiments, answer open ended business questions with data, and research levers for improving our product
Develop our data foundation, experimentation and machine learning capabilities, contributing to pipelines and tools that scale to our connected, complete understanding of our customer journey and improve our customer experience. We currently use stitch, dbt, snowflake and Tableau and are working with our new data engineering team to dream big about our infrastructure and feedback loops!
That said, these responsibilities are just the start! At Webflow, we encourage you to contribute wherever your interests take you — and shape your role accordingly.
About you
You’ll thrive as a Senior Data Scientist if you:
Have demonstrated experience working as a Data Scientist (or the equivalent in product analytics), providing high quality, reproducible analysis that impacts decision making
Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting
Have proficiency in SQL, and experience with a programming language like Python or R
Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems
Engage both technical and nontechnical audiences with clear and compelling communication
If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
About us
At Webflow, we believe that what we’re doing doesn’t define our success — so we focus on our “why" and "how". Our MissionTo empower everyone to create for the web — and lead impactful, fulfilling lives while we do it.Our Core Behaviors
Earn customer trust
Get it done, do it right
Practice candor with care
Dream big, ship often
Our commitments to you
We’ll pay you! This is a full-time, salaried position that includes equity
We’ll invest in your physical and mental well-being with health, dental, and vision benefits and a monthly stipend for health and wellness expenses
We’ll pay you to take a vacation … seriously. We’ll give you a $1,000 bonus for taking your first vacation with us that is more than 5 days
We offer flexible parental leave
We provide remote employees with the equipment they need to create a great remote work environment
We will offer you the support you need to help you grow as an impactful Senior Data Scientist and a human being
Ready to apply?
If you share our values and enthusiasm for empowering the world, we’d love to review your application! We promise we do take the time and care to review every application we receive. However, as much as we wish we could interview everyone who submits an application, we cannot guarantee an interview or feedback due to the unprecedented volume of applications we are receiving today. We are rooting for you, and hope you do consider applying.
Please note that a background check and employment verification is required for this position. We may obtain one or more background screening reports about you, solely for employment purposes.
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Data Scientist | Grow Progress |
Data Scientist
Grow Progress is hiring a Data Scientist to be part of a team that is building cutting-edge persuasion technology for social good.
We’re looking for someone who wants to help pioneer a new approach to persuasion: giving our customers the power to persuade more people based on how they think — not just how they look.
If you want to make a big social impact and grow your skill set by building products from the ground up, we hope you’ll apply.
Who We Are
We’ve built powerful software that offers our customers unprecedented access to run scientific message tests quickly and affordably, so they can unlock the most effective messages. This capability powers campaigns, causes, and companies that make the world a better place. We currently work with some of the biggest Democratic pollsters, marketing agencies, advocacy groups, and labor unions in the country.
Grow Progress gives our customers the power to persuade more people by tailoring their messages to match each audience member’s identity. We help customers harness the latest persuasion science to create messaging that’s typically 200% to 500% more effective than their existing ads. We do this by predicting which personality traits and values are most important to each individual.
We’re a team of experienced campaigners, storytellers, and data scientists who are obsessed with harnessing the power of evidence to make social good advocates more effective. We’re ambitious, efficient, low-ego, and we like to make each other laugh.
About The Position
You will be a member of the data science team and report to the Lead Data Scientist.
You will also be an active member of a product development team and work on product sprints with engineers, designers, and product managers to build out our automated testing and audience understanding tools.
You will work on challenging technical problems with the goal of building lean and innovative solutions.
By being at the ground floor of a rapidly expanding company, you will get the opportunity to learn new skills, make important decisions, and work closely with team leaders.
As a data scientist at Grow Progress you will:
Work with our product and engineering teams to build out the data analysis and visualization functions of our software products.
Work with the data science team to ensure that our software products use rigorous analytical methods.
Monitor and improve the performance and data quality of our surveys and tests.
You may also be asked to:
Set up, run, and analyze custom surveys and experiments to test different persuasion strategies.
Present analysis results to internal and external audiences.
We primarily work in R, with some Python as well. Basic SQL is a must for database work.
You’ll bring the following skills and experience:
Fluency in R or Python (with some knowledge of both) and basic SQL knowledge.
Experience writing production-ready analysis code and working with engineers to deploy code into a production environment.
Experience analyzing surveys and experiments and/or building predictive models.
Ability to work in a small team environment, taking ownership of your projects, and effectively advocating for your ideas.
Ability to communicate technical issues with both technical and non-technical teammates and clients.
Capable of providing and receiving constructive feedback.
Authorization to work in the US.
Progressive values and an interest in politics.
You have some of the following bonus skills:
Familiarity with the product development process, including ideation and lean experimentation.
Familiarity with AWS infrastructure.
Experience working with campaigns or advocacy organizations.
Familiarity with social science research related to political psychology, persuasion, and/or voting.
More About Grow Progress
Our culture is fun, fast-paced, and focused on evidence. We aim to cultivate an environment where creative hypotheses and evidence drive our decisions rather than just anecdotes, and where everyone feels comfortable contributing ideas — even if it’s on a topic outside of their expertise. We work hard to get smarter together by giving each other feedback that’s direct, actionable, and respectful. We’re deeply motivated by the work we do and committed to using this technology ethically, so we’re looking for teammates who feel the same way.
We’re an equal opportunity employer committed to building a diverse company. Qualified people of any race, ethnicity, culture, age, sex, gender identity or expression, sexual orientation, social class, marital status, religion, veteran status, or disability status are strongly encouraged to apply.
Location: Washington, DC or Remote
Salary Range: $85,000 - $110,000 plus equity, depending on skill level, location, and experience. Company benefits include a company-sponsored health insurance plan (also dental and vision coverage), a flexible PTO plan, and a 401(k) with employer matching, among others.
To Apply: Fill out the form at the link below. Applications will be evaluated on a rolling basis. Please note that if you email your resume to our team directly rather than applying through the link, you will not be considered for the position.
Apply for this job
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Senior Data Scientist | Cometeer |
The Team
The Data Team at Cometeer exists to help make decisions data-driven. Data is a horizontal team that serves all business units across the company. Cometeer seeks to be data driven at its core and across all business functions. This is a foundational principle that is shared across founders, leadership, and all parts of the organization. The vision is that Cometeer wins in great part due to its ability to leverage data to drive rather than simply measure strategy and execution. The Data Team exists to execute on this vision.
The Role
We are looking for a detail-oriented and analytical deep-thinker to closely partner with non-technical and technical stakeholders. A successful candidate should have a strong quantitative foundation as well as a demonstrated ability to directly own business outcomes end-to-end. You will be one of the first hires on the Data Team, reporting to the Head of Data.
What you’ll do:
Partner with internal teams to leverage data and quantitative methods such as hypothesis testing to enable strategic decision-making and operationalize rapid growth.
Discover, understand, and integrate disparate data sources from every corner of the business, and structure them into clean data models that fuel self-service analytics for internal teams as well as advanced data science.
Partner with the engineering team to shape product roadmap, scoping and improving upstream systems and backend data sources.
What we’re looking for:
You have 5+ years experience in a data science role, using quantitative analysis to solve challenging, real-world problems (background in e-commerce or operations is a plus).
You have a strong quantitative or technical academic background, such as mathematics, computer science, statistics, economics, finance, or physics.
Expert on running SQL in production: you write complex joins and window functions in your sleep; you're experienced in state of the art tools (e.g., GitHub, Fivetran, dbt); and you spearhead best practices (e.g., data unit tests, historization, snapshotting, etc.)
Experience writing statistical models in Python and/or R (e.g., linear regressions or classifiers).
Experience modeling data into logical objects and relations, with an eye towards broad accessibility across different skill levels, using modern tools such as Looker or Tableau.
Track record of building strong relationships with cross-functional partners and executives at multiple levels of technical proficiency.
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Manager Of Data Science | Karat |
We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud
Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As Manager of Data Science at Karat, you will drive data innovation in both a hands-on and strategic capacity, all with the purpose of extracting key insights from our data and providing actionable recommendations as we scale. Leading a team of Engineers, and Scientists, you will be responsible for innovating on top of existing and external data, carrying out complex analysis, and creating insight and building models and products that serve a variety of key end-users in the Interviewing Cloud space.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is available for this position.
Manage a growing team of Data Scientists by guiding their research and development and model development to optimally benefit the business and enhance our product.
Work closely with the broader data team to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Partner with leadership to optimize and build ways in which we can collect richer data about user interactions.
Build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Evangelize and nurture conversations around high quality software engineering methodologies towards developing data infrastructure and pipelines, ensuring a strong culture for both technical and non-technical business stakeholders.
The experience you will bring
5+ years of relevant data science work experience
Successful track record in building and leading high-functional data science teams
Strong data analysis and scientific thinking skills with deep knowledge of statistics and rigorous analytical techniques
Proven ability to operate in a fast-moving environment supporting a rapidly growing, Internet or Technology business
History delivering insights and ML models that have provided high-value to the business
Experience with modern batch and real-time data processing technologies
Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:
Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022
Benefits / Wellness:
Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice
Learn more about us
Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
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Principal Data Scientist | Figure |
About Figure
Figure is transforming the trillion dollar financial services industry using blockchain technology.
In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.
Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.
Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!
About the Role
Each member of the Data Science team plays an integral part of what we are building at Figure. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What You’ll Get To Do
Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
Understand and apply proper risk framework to your analysis and modeling.
Collaborate cross functionally to implement models and monitor outcomes.
What We Look For
8+ years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
Consumer finance or adtech background is a plus
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
Experienced in using Python for analysis and modeling (TensorFlow is a big plus)
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills.
Ability to thrive in a fast-paced environment.
Benefits and Perks
Competitive salary and growth opportunities
Company quarterly performance based bonus
Equity stock options package
Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
Employer funded life and disability insurance coverage
Company HSA, FSA, Dependent Care, 401k, and commuter benefits
Up to 12 weeks paid family leave
In office, remote, and hybrid work location options
Home office and technology stipend for those working outside of a traditional office more than 75% of the time
Flexible time-off plan to empower employees to take the time off that they want and need
Continuing education reimbursement
Routine Team swag deliveries!
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.
Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
#LI-CW1
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Senior Data Scientist | Truebill |
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
We're looking for a Senior Data Scientist to join our growing team. In this role, you'll collaborate closely with product, engineering, design, marketing and the data team to better understand the needs and usage patterns of our members, build and deploy new features and models, iterate and optimize existing product experiences to help our members take control of their finances and improve their financial health.
ABOUT THE ROLE 🤹♀️
In this role, you will focus on the following types of problems:
Working with product and engineering to predict when a member might overdraft their account based on their spending habits and account balances so that we can warn them in advance
Working with a team to develop the next version of Autopilot - ensuring members have money in the right place at the right time for their near and long term goals
Working with our engineering and data team to develop the next advances in transaction classification and categorization to better detect subscriptions and power our spending insights
Working alongside our product and marketing teams to understand product usage and predict lifetime value and retention of our members and develop ways to serve them better
Regardless of the challenges you dive into, you will:
Become a subject matter expert in your area of specialty and be responsible for leading data projects from start to finish - making key decisions on both implementation and scope while balancing both technical and business goals
Become an expert on our members: understanding their needs and financial goals and work with the data team to measure both their progress and ours
Be a steward of good instrumentation and experimental design - designing analyses, models and products in such a way that they are measurable, testable, repeatable, and robust
Maintain a high technical bar by participating in code reviews, product and technical design discussions, and focusing on maintaining a high degree of quality in our production data
ABOUT YOU 🦄
You have 4+ years of professional experience working in a data science capacity with some combination of Python/scripting language and relational database production experience
You embrace the player and coach mindset - taking the lead on solving hard problems to further your own professional development while mentoring those around you in their growth trajectories
You care just as much about why you're solving a problem as the types of problems. You want to understand context and the bigger picture of how the problem you're working on is impacting and benefitting our members
Experience in one or more of the following in a professional capacity: customer modeling (LTV, Churn), time series prediction, natural language processing and classification, machine learning applied to consumer products
You find yourself often building tools to help others solve their problems and try to follow a philosophy of continuous improvement and automation
You want to continue to grow and optimize to your learning rate and are excited by hard problems and big challenges
Experience with fintech, banking, and consumer transaction data is a plus
WE OFFER 💫
Health, Dental & Vision Plans
Competitive Pay
Matching 401k
Unlimited PTO
Lunch daily
Snacks & Coffee
Commuter benefits
Additional information: Minimum salary of $150,000/year + bonus + benefits
*Note: Disclosure as required by sb19-085(8-5-20), however, base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money, Inc. is 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, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Data Scientist | Buildout |
About Buildout
In 2010 Buildout pioneered commercial real estate (CRE) marketing automation. Today, with over 35,000 brokers and with 12 of the top 20 brokerages counted as customers, Buildout continues to be the leader in CRE marketing automation in addition to recently launching valuable, integrated back-office workflow and customer relationship management (CRM) solutions. Developed in close collaboration with our customers, Buildout allows brokerages to bring their expertise to every stage of their deals all from within one platform. Our vision is that CRE dealmaking will be tech-powered, but human-led. We have a “some-nonsense” culture that embodies nerds and humor. Learn more about who we are, what we do, and why we’re changing the face of CRE tech on our website: https://buildout.com/.
The Opportunity
Headquartered in Chicago with employees distributed across the country, we’re a fast-growing tech company that achieves our vision through our commitment to our Team, Customers, Product, and Continuous Improvement. It is our intention to create exceptional, high quality products that lead the Commercial Real Estate industry into the future and delight our customers.
We are searching for a strategic and inquisitive Data Scientist to develop and run with data-centered projects that inform and promote our continued growth and expansion. You will harness your deep experience of Data Science to turn data into strategic insights and meaningful solutions. Our ideal candidate has a strong quantitative and analytical background and is excited to build this function and contribute to a multitude of projects.
How You'll Contribute at Buildout
Build, improve and maintain data-driven projects to help build critical solutions to difficult problems
Collect and clean data from various sources and translate into strategic insights and actionable business recommendations
Select and employ advanced statistical procedures to obtain actionable insights
Produce and distribute non-technical reports that detail the successes and limitations of each project
Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant
Set and achieve Buildout sponsored personal and professional goals
What You’ll Bring to Buildout
Extensive experience as a Data Scientist
Proficiency in R, Python, and/or other relevant languages and frameworks
Strong experience with SQL database design, architecture and querying
Strong experience in machine learning principles, frameworks and technique
Demonstrable history of devising and overseeing data-centered projects
Ability to succinctly relay insights to inform business decisions
Excellent applied analytics and problem-solving skills
Strong project management and organizational skills
An ability to move quickly in an an agile and sometimes ambiguous environment
An openness to interfacing with your customers to better understand what they need
A wanting to learn-it-all personality (versus know-it-all)
We know there are great candidates who won’t check all of these boxes, and we also know you might bring important skills that we haven’t considered. If that’s you, don’t hesitate to apply and tell us about yourself.
We are based in Chicago, but this is a remote-friendly role open across most of the US. The salary range for this position starts at $110,00.
Perks & Benefits
We built a benefits program to match the quality of our team. This program includes:
Impactful insurance and benefit options, including covering 100% of employee health insurance premiums, FSA plan, STD, LTD, life insurance, and telemedicine
Policies that support a healthy work/life balance, including generous PTO, paid parental leave, and give back days
Equipment to set you up for success including laptop, monitor, keyboard, and mouse
401(k) with 4% company match and immediate vesting
Offices in Chicago and Austin for those who prefer an office setting, plus a monthly remote work reimbursement
Challenging problems to solve with a committed and supportive team who are invested in your growth and development
A wonderfully quirky culture where you’re encouraged to bring your whole self to work
Buildout 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 identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, marital status, order of protection status, citizenship status, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information and we will consider your request.
Below, you will be asked to complete identity information for the Equal Employment Opportunity Commission (EEOC). It is required by law that we ask these questions using the format provided by the EEOC. However, we want you to know that at Buildout, we understand that gender is not binary and welcome people of all identities.
For more information about our privacy practices please visit our Privacy Policy. California residents have additional rights and should review the Additional Disclosures for California Residents section in our Privacy Policy.
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Data Scientist I | Bluechip Financial |
BlueChip Financial is looking for an entry-level ML data scientist to join our cutting edge team of analysts and engineers to expand our internal machine learning solutions. BlueChip continues to demonstrate rapid growth and increasing profit, yet our tech team is relatively small. We have a start-up-like mentality and atmosphere. We’re a team of really sharp people in a work environment that is fun, challenging, and rewarding. The focus of the work you’d be involved in is directly tied to the optimization of our machine learning/AI automation infrastructure , with a particular focus upon model performance evaluation and business impact. The compensation (base + bonus) and benefits package for this position is highly competitive. Our working environment is both casual and inclusive. BlueChip Financials primary technology team is located in Atlanta, Georgia, however, fully remote work is an option.Job DescriptionAs a Data Scientist I at BlueChip Financial, your primary responsibilities will be to: Contribute to specific data science projects and production ML pipelines (e.g., exploratory analysis, production ETL, code test/review, etc.) Utilize and help to improve our Machine Learning pipelines for our loan underwriting platform, fraud prevention, marketing, and more… Work both independently and as part of a team to solve problems and accomplish tasks in a logical, methodical, and time-efficient manner when given high-level tasks or objectives. Build and maintain ML specific dashboards and performance monitoring utilities Develop and integrate analytical methods for quantifying/optimizing model performance (e.g., cutoff/threshold optimization) Ad Hoc Analyses Minimum Requirements 0-2 years experience in Data Science or related field Proficiency in Python and associated data science related dependencies, such as pandas and sklearn. Strong skills in SQL and/or R are a plus. Strong mathematical skill and interest in using mathematics daily Experience/strong interest in evaluation of ML model performance from a production point-of-view (e.g., threshold assessments of classification/regression model output) Experience building, documenting, testing and deploying machine learning pipelines Ability to pass a background check. Clear and Strong communication skills, desire and ability to collaborate, and no ego Strong interest in analysis and finding new insights Preferred Qualifications: Experience with both larger scale relational and non-relational data frameworks Ability and strong interest for learning new things and collaborating well with others Baccalaureate (or higher) from an accredited and competitive University in a quantitatively-oriented discipline A genuine sense of enjoyment writing code and solving tough problems with data and programming Experience in financial services or other highly regulated environments. Mathematics/Statistics background is desirable The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and performance bonus Robust healthcare plans, matching 401K, internet and cell phone line and data reimbursement and four weeks of PTO Company sponsored travel to conferences for professional development and training opportunities About the CompanyBlueChip Financial (d/b/a Spotloan.com) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. BCF is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the “Tribe”).BlueChip Financial is an integral part of the Tribe’s economic development efforts, and it is an essential provider of employment opportunities on the Tribe’s reservation. Employment decisions at BCF are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is BCF’s policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
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Director Data Science | Tableau |
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 DetailsDepartment Description: Are you passionate about enabling Tableau internal customers and partners to get the most from their Big Data, Data Platform, Analytics, or Intelligence (AI) solutions? Do you enjoy collaborating across business units to find ways to realize the value of data? Do you love seeing data drive business decisions? Tableau’s Office of the CDO is seeking an experienced Director, Data Science. The candidate should have an extensive background in Analytics, Data Science/Machine Learning Models, Data Services, service-oriented architecture principles and business practices. This position will report to the Tableau Sr. Director - Business Intelligence Lead in the AI & Analytics organization. The leader will be a trusted advisor for our business partners and product teams, and work closely with the leaders within the Tableau Data and Analytics (TabDnA) team. This role is critical for a trust Data-First culture, and a focus on the value of data. Role DescriptionThe Data Science leader will partner heavily with the business and product leaders, Customer Support Group and TabDNA’s Data Platform & Data Engineering, leaders to support Tableau business needs by enabling customer targeting, business/product insights and design quality experiments. Responsibilities
Lead and mentor a growing team of Data Scientists to discover insights, develop statistical/machine learning models and drive business impact. Examples include developing models that support customer targeting and optimizing customer lifetime value.
Identify business and product insights that improve our customer experience such as customer behavior/usage patterns, sticky features, service optimization, defect detection and network effect of publishers.
Partner with product and technology teams to make sure that we are capturing relevant data; collaborate with data engineering and analytics teams to get appropriate datasets and dashboards built in a format that enables self-serve analytics at scale.
Help us enhance our experimentation capabilities by constantly evaluating if we are measuring appropriate business metrics, implementing statistical best practices, and validating our approach is driving quality business outcomes.
Consult with business stakeholders and product managers on appropriate experimental design to answer important questions and ensure new features/initiatives are being tested rigorously
Define success and evaluate impact of experiments and other business changes/initiatives.
Desired Knowledge and Experience:
Bachelors in a quantitative field (engineering, computer science, statistics etc.) with relevant coursework in Data Science, Machine Learning, Statistics & Deep Learning or equivalent work experience
4 years of relevant work experience as a data scientist, including experience applying advanced analytics to planning and infrastructure problems.
Experience designing and building statistical forecasting models, optimization models and machine learning models.
Highly skilled in R or Python and database languages (e.g., SQL)
Ability to effectively use advanced algorithms to assess complex data resulting in practical insights
Preferred qualifications:
Masters or PhD in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.
Experience with graph databases, and data presentation of customer behavior.
3+ years of experience directly managing data scientists and analytics teams
For Colorado-based roles: Minimum annual salary of $166,600. You may also be entitled to receive bonus, restricted stock units, and benefits. 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.com 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.
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Head Of Data Science Analytics | Picnichealth |
Healthcare needs good data. At PicnicHealth, we are building deep real-world datasets to fuel cutting-edge research, while giving patients control of their own medical records data. These complete, clinically-rich datasets produce unique insights across dozens of diseases to ultimately get the right treatments into patients’ hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date we’ve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impact their lives.
We’re excited to announce $60 million in funding in a Series C led by B Capital Group. Our existing investors Felicis Ventures and Amplify Partners also joined the round, bringing the total we have raised to more than $100 million.
We are just getting started! If you are looking to join an award winning, mission-driven, motivated team that is making a real impact across millions of people’s lives, PicnicHealth might just be the place for you.
The Opportunity
PicnicHealth processes tens of thousands of pages of medical records each week using a variety of applications that allow us to communicate with patients, retrieve and label records, and generate high quality datasets. We also engage with patient communities to understand more about their care journey and to get our product into the hands of those excited to participate in research. In this context, our ability to measure, analyze, and strategically act on data is critical to the company’s success.
We are looking for a Head of Data Science & Analytics to drive impact and direction for our budding team. You will lead a team initially composed of 2-3 data scientists and analysts, and act at the outset as a player/coach while developing a vision for the future of analytics at PicnicHealth. You will collaborate closely with data engineering, operations, and our product squads to shape decision making across the company and be responsible for hands-on analysis, for producing forward-looking frameworks that quantify any and all aspects of PicnicHealth’s business, and for helping design the infrastructure needed to make quick, easy analysis possible for others. Your contributions will impact company strategy, foster a culture of excellence, and solidify an analytics practice that can scale with company needs. You should be proficient in the tools of the trade, from basic spreadsheet and SQL modeling and data visualization, to advanced statistics, data pipelines (e.g. built using dbt, Airflow, and Python), and business intelligence tooling. As a leader, you should have significant experience with people management, planning, and strategy.
As Head of Data Science & Analytics, you will be responsible for:
Managing a small team of data analysts;
Modeling business processes and influencing decision making;
Producing long-term roadmaps, rituals, and resourcing plans for Data Science & Analytics at PicnicHealth;
Working with data engineers to shape infrastructure that makes analysis simple and repeatable;
Working with leaders across the company to define analytical needs and prioritize capacity; and
Continuing to build a world-class team by attracting, interviewing, and onboarding your future team members during this exciting time of growth.
You are a great fit if you:
Have 7+ years of full-time work experience as a data analyst or data scientist that includes 3+ years of people management;
Love diving into complex business processes and finding ways to accurately model them;
Are a clear and detailed communicator about your work, design, and tradeoff decisions;
Are driven to work on high impact (ROI) projects and thrive in a fast-paced environment; and
Are excited to manage, mentor, and grow a cohesive, collaborative team.
We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward.
Why join PicnicHealth?
At PicnicHealth you get to solve real problems with real solutions, great tech, and great people.
We offer a hybrid set up for our team: team members in the Bay Area can work from the SF office on a flexible schedule; remote team members are expected to travel to in-person meetings 4-6 times a year.
You also get:
Competitive salary
Comprehensive benefits including above market Health, Dental, Vision
Family friendly environment
Flexible time off
401k plan
Free PicnicHealth account
Equipment and internet funds for home office set up
COVID-19 Policy
We require proof of vaccination for COVID-19, except those with medical or religious exemptions.
Equal Opportunity Statement
PicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.
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Senior Director Data Science Analytics | Hinge Health |
One in two people experience debilitating back, neck, shoulder, or joint pain — but traditional treatments have failed to meet their needs. Physical therapy can be expensive and hard to access; appointments often involve long commutes and missed work. Making matters worse, unresolved pain can trigger the overuse of opioids and surgeries.
Join us in reimagining healthcare from the ground up. We’re making high-quality care accessible by pairing wearable sensors and computer vision with a world-class clinical team. Hinge Health puts a digital clinic in every member's pocket. Now millions of people can access personalized digital care from a physical therapist, guidance on behavior change from a health coach, and expert consultations with an orthopedic surgeon. With a single app and wearable technology like our Enso device, we’re helping to reduce pain, surgeries, and opioid use.
Work from anywhere:
Hinge Health employees have the flexibility to work remotely in hubs across the US, Canada, and Latin America or work from our offices in San Francisco, Portland, and Montreal.
To Learn more about our company & culture please visit:
http://www.hingehealth.com & https://www.hingehealth.com/diversity-equity-and-inclusion/
About the role:
We are looking for a Sr. Director, Data Science & AnalyticsAnalytics and Data Science to lead these functions into an exciting new chapter of company growth. This person will manage a team of data scientists and data analysts, scale our operating model, mature how we perform analyses, and overall help spread data literacy at Hinge Health. We are looking for a “player-coach” who both gets their hands dirty and has a track record of being a trusted partner aiding the company's biggest decisions. In addition, you’ll be working closely with both our data engineering team on infrastructure strategy and our AI/ML team on cross-functional initiatives.
#LI-JJ1
WHAT YOU’LL ACCOMPLISH
Establish a team structure and mechanisms that ensure your team has a seat at the table for strategic product and business decisions
Help us hit our analyst hiring goals to keep up with rapid company growth
Consistently mature the rigor of our analyses, processes, and tools, so that our output is timely, trusted, and reliable
Increase self-service to insights via a combination of tools, dashboards, analysis templates, and education
Help your team hit their professional development goals
WHAT WE'RE LOOKING FOR
Vision: articulates a clear vision for the role and structure of the organization and how it can earn a seat at the table for business decision making.
Cross-functional: fluent with all stakeholders across product, commercial, clinical, finance, and more.
Player-coach: enjoys getting their hands dirty and thrives in the “player-coach” model by hiring A players, coaching and guiding them, while at the same time diving deep to deliver key results if necessary
Learn-it-all: a strong background in business analytics, data science, or applied statistics
Technical: SQL mastery, fluency in Python and R (or other statistical analysis packages), and experience designing and analyzing hypothesis-driven experiments and multivariate tests
Knows enterprise data tool sets inside and out and could lead a purchasing decision
WHAT YOU'LL LOVE ABOUT US
Competitive compensation with meaningful equity
Medical, Dental, Vision, Disability and Life Insurance (We cover 100% of your premium and 75% for your dependents)
Flexible PTO
FSA/HSA accounts
Family & fertility benefit through Maven Clinic
401K match
3 months paid parental leave
Professional Development budget
Quarterly lifestyle benefit to use towards WFH equipment & fitness
Generous mental health stipend
Work from home policy
Opportunity to join a fantastically talented, diverse, and passionate team at a pivotal time in the company’s lifecycle
We want to make you aware that there continues to be a significant increase in phishing attempts across all industries where fraudsters are impersonating real HR employees and sending fictitious job offers to applicants in a scheme to obtain sensitive information.
Please note that we will never ask for your financial information at any part of the interview process including the post-offer stage, and will only correspond through @hingehealth.com domain email addresses.
If you encounter any suspicious activity, we recommend you cease all communication with the individual and consider reporting them to the US FBI Internet Crime Complaint Center.
If you would like to verify the legitimacy of an email you received from our recruiting team, please forward it to [email protected].
About Hinge Health:
LinkedIn recently named Hinge Health one of the Top 50 Startups. Forbes, Fast Company, and Inc. have also recognized our technology, innovation, and culture.
Since our founding in 2014, we've raised more than $800 million from leading investors, including Coatue and Tiger Global. Today, Hinge Health is the leading Digital MSK Clinic, used by 4 in 5 employers and nearly 90% of health plans with a digital MSK solution. We work with 900+ customers across every industry and the public sector — including Salesforce, Verizon, and the State of New Jersey — to give more than 20 million people access to the care they need. We’re positioned to continue leading the market with unmatched investments in clinical research, care innovation, machine learning, AI, and computer vision.
Diversity and inclusion:
We’re committed to building diverse teams that reflect the communities we serve. Visit hingehealth.com/diversity-equity-and-inclusion to learn more about what moves us.
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.
If you're interested - we'd love to hear from you. No recruiters, please.
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Senior Data Scientist | Geico |
Ready to make an impact? If so, please read on!
Based out of our Chevy Chase, MD/Washington DC office, GEICO’s Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.
As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.
Expected Qualifications:
Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analyticsDeep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics.Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying languageStrong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or SparkExcellent communication skills and experience in working with stakeholdersPassion for extracting hidden insights and building machine learning systems that enhance business outcomes
To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.
Benefits:
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:
Premier Medical, Dental, and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) Profit Sharing PlanTuition Assistance including Direct Billing and Reimbursement payment plan optionsPaid Training, Licensures, and Certificates
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
EEO Statement:
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruiting, developing, and retaining the most talented individuals to further grow our team.
#LI-AM1
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Senior Data Scientist Telematics | Geico |
Ready to make an impact? If so, read on!
GEICO's telematics team uses predictive analytics and machine learning methods to create innovative products and customer interactions using sensor data capturing customer driving behavior. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data cleaning, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.
As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will research, develop, and deploy telematics-based solutions to improve pricing, drive customer segmentation, and streamline claim resolution in order to create a competitive advantage for GEICO. You'll synthesize large sensor-based datasets and solve complex problems using advanced machine learning and statistical modeling. You'll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.
Expected Qualifications:
Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc.4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analyticsDeep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics.Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying languageStrong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or SparkExcellent communication skills and experience in working with stakeholdersPassion for extracting hidden insights and building machine learning systems that enhance business outcomes
Preferred Qualifications:
Deep understanding of insurance telematics (mobile, device, connected vehicle)Experience working with sensor data, signal processing, IoT solutionsExperience with geospatial data and specialized geospatial software tools including ESRI ArcGIS, OSM
To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.
Benefits:
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:
Premier Medical, Dental and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) Plan with Profit SharingTuition ReimbursementPaid Training and Licensures
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team.
#LI-AM1
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Data Scientist Natural Language Processing | Geico |
Ready to make an impact? If so, read on!
GEICO is on the cutting-edge of smart marketing and advertising. We have a culture of experimentation, rapid iterations and feedbacks, and lean delivery, complimented with strong partnership and collaboration with product, marketing, tech, and data teams. We are looking for an Natural Language Processing (NLP) researcher who has experience and passion for innovation at the intersection of data, experimentation, and marketing.
Responsibilities:
You will help drive growth in GEICO’s various lines of business, and help evolve our marketing programs through message customization and optimization by means of NLP, machine learning, and dynamic testing. You will work with large-scale data across variety of channels and customer touch points, conduct in-depth quantitative analysis, build and validate Machine Learning models, and deliver impactful and useful products that will drive key marketing decisions.
Research and design solutions for various insurance NLP use cases Insurance specific corpus generation and language modeling Design and architect word/sentence/document embeddings of insurance content Perform context sensing and context-group discrimination on insurance content Build solutions for domain specific NER, functional component tagging Build solutions for domain specific text generation
Qualifications:
Technical Capabilities
Linguistics knowledge Demonstrated experience with NLP including Corpus preparation Word embeddings Language modeling Use cases like NER, Q/A systems, text generation etc. Experience in supervised and unsupervised modeling, transfer learning Experience in deep learning MLP, CNN LSTM/GRU, attention, transformers Sequence-to-sequence learning Keras, Tensorflow, PyTorch, SpaCy Pre-trained NLP solutions BERT, GPT3 and other variants Strong coding skills (Python/R) Experience with data science product life-cycle
Professional Capabilities
Strong sense of curiosity and ability to self-learn; willingness to research, design and test novel solutions and learn from failures Ability to research and offer solutions related to novel problems Ability to build, test, and iterate on medium to large scale projects of moderate complexity Strong analytical and quantitative problem-solving skills Strong oral and written communication, ability to create presentations with a logical flow to tell a compelling story Excellent attention to detail
Preferred Qualifications:
Three or more years of data science experience Experience with Dynamic Multivariate Search/optimization algorithms: e.g. Multiarmed bandit, reinforcement learning, evolutionary algorithms Strong statistics knowledge Experience with Bayesian learning (e.g. Bayesian regression, Bayesian Networks) Experience with design of experiments Experience with clustering and segmentation methods
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* includes:
Premier Medical, Dental and Vision Insurance with no waiting period**Paid Vacation, Sick and Parental Leave401(k) Plan with Profit SharingTuition ReimbursementPaid Training and Licensures
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers.
To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team.
#LI-AM1
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Data Scientist Skills Product Platform Us | Pluralsight |
This position is also available for employment in these areas:Remote - USA, Remote - UtahJob Description:At Pluralsight, you will be part of an established team of collaborative data scientists supporting our Skills product platform. You will work closely with multiple teams to identify and implement improvements to our Skills platform powered by data science. This role is a good fit for hands-on data scientists who enjoy experimenting with new ideas and working with cloud computing technologies. That’s you, right? Who you’re committed to being:
Critical problem solver who understands how data science can solve business problems
Interpreter who finds trends and patterns in disparate data
Independent creator of models, analyses, and visualizations
Communicator able to translate technical details into business insights
Partner to internal stakeholders who share high-value business objectives
What you’ll own:
Applying data science to content search and discovery challenges
Cross-functional project collaboration on data science deliverables
Development and implementation of analyses and predictive models
Continuous testing and improvement of deployed solutions
Explanation of algorithms to business partners, eliminating “black box” distrust
Presentation of results to business partners and company leaders
Experience you’ll need:
Applying statistics and data science theories and techniques
Working with popular data science languages and tools (Python, R, Jupyter Notebooks, scikit-learn, pandas, tensorflow, pytorch)
Using SQL and relational databases as well as big data platforms (Snowflake, Kafka)
Producing effective and interactive data visualizations (Tableau, Shiny, Dash)
Preferred but not required: Familiarity with cloud computing (AWS), Airflow, NLP, and recommender systems
Working at PluralsightFounded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world. At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do every day, we empower the people who power our world. And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one. Be yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-SK#LI-Remote
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Senior Data Scientist Lending | Sofi |
The Role
The Lending Business Insights team is seeking a Senior Data Scientist who will help support growth in our Personal Loans, Student Loans, and Mortgage businesses by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their technical skills in Python and SQL to create robust reporting, analytical, and machine learning capabilities in Snowflake with Airflow and dbt. Success in this role hinges on your technical aptitude and quantitative abilities: you know how to plow through data with dbt, perform analysis in Python with the right levels of abstraction for code reuse, and measure business performance by efficiently calculating key performance indicators. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.
What you’ll do:
Leverage DBT and Airflow to build reporting pipelines in Snowflake
Create abstractions to encapsulate business logic inside Snowflake and outside of BI tools
Build frameworks to ensure consistent reporting of KPIs across platforms
Establish best practices for working with Data Observability tools
Stay on top of new features available in our data stack and understand how to leverage them to improve our existing processes.
Develop processes with cross functional partners to better enable optimizing core product decisions such as funnel conversion, product experimentation, prospect targeting, web page optimization, and unit economics.
What you’ll need:
M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
5+ years of experience working in an Analytics or Engineering role in Finance or Tech
Experience with using Airflow and DBT to build Data Pipelines in Snowflake
Strong programming skills in SQL and Python
Experience with building data visualizations with Tableau, Looker or other BI tools
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship building and collaborative skills;
Exceptional problem-solving skills;
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Sr Data Scientist Relay | Sofi |
The Role
The ECI (Enterprise, Content & Insights) team is seeking a Senior Data Scientist who will lead Data Science for SoFi’s Personal Finance Management (Relay Insights) business. This is an exciting role for someone to drive customer-centric insights that will make a direct impact on Product, Finance & Marketing strategy. Success in this role hinges on your technical aptitude, quantitative abilities, collaboration and business acumen: you know how to plow through data in Snowflake with Airflow and DBT, surface deep insights with Statistical and ML techniques, and measure business impact. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.
What you’ll do:
Drive growth by crafting, analyzing and presenting customer behavior metrics such as funnel conversion, user churn, cross-sell metrics, Life Time Value. Work with teams cross-functionally to design tests to improve these metrics.
Own end-to-end product analytics workflow including formulating success metrics, processing, cleaning & verifying data integrity, investigating new sources of data to improve insights, and ultimately summarizing and socializing insights with leadership in Relay and across SoFi
Build models, identify trends and build tools that help decision-makers understand data and more quickly take action
Build self-service solutions and dashboards to enable others in the organization to leverage your work.
Leverage DBT and Airflow to build reporting pipelines in Snowflake
Proactively develop recommendations for how Relay can use data to solve problems and make decisions
Coordinate with Product & Eng on new feature releases to ensure metrics are accurately tracked and captured towards OKRs
What you’ll need:
4+ years of relevant work experience
M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;
3+ years of experience working in an Analytics role in Finance or Tech
Strong programming skills in SQL, Python, and proficiency in Tableau
Experience with using Airflow and DBT to build Data Pipelines in Snowflake
Ability to work in a dynamic, cross-functional environment, with strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship-building and collaborative skills;
Exceptional problem-solving skills;
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Senior Data Scientist Product Analytics | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
At Atlassian, our mission is to unleash the potential of every team. Every day, millions of people and thousands of teams use our products including Confluence, Trello, Jira Software and Jira Service Management to collaborate. To reach every team, our future growth goals rely on increasing new customer signups and reducing existing customer churn. You will play an important part in achieving that ambition, using data and analytical insight to better understand our customer funnel and purchase journey, identifying new growth levers and informing future product roadmaps.
What you'll do
Use standard and advanced analytics techniques on complex and imperfect data to a high analytical standardBuild trusted relationships across analytics, product and strategy teams.Define analytics project plan and complete it, making tradeoff calls based on capacity, effort required and other prioritiesShape experimentation roadmaps and strategyDesign A/B testsAnalyze new cross-product product features with a growth lensIdentify new opportunities for customer and user growth and retentionTransform business problems into a set of analytics projects using an appropriate technique, and communicate results in a meaningful story with relevant insightsContribute to our team and culture such as contributing to QA reviews, mentorship and brainstorming sessionsBuild stakeholder relationships and understand core problems to direct attention and ensure project align with partner priorities.
Your background
5+ years of experience working in data analysis, statistics or related fieldsExpertise in SQL (or another data query language) to manipulate large and complicated data for custom and ongoing analysesProficiency in at least one visualization tool (e.g. Tableau, Dash) to share insightsProficiency in one of Python or R for data science applications and associated packagesProject management skills, including project plan execution
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Senior Data Scientist Customer Analytics Ecosystem | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is looking for a Data Scientist to join our Customer Analytics team. We're looking for someone with analytical thinking, who is passionate about building data products from scratch to inspire a massive company transformation.
You will work within our Ecosystem team and will manage our Developer and Partner experience. Our 2nd and 3rd-party developers build apps and integrations that can be found on the Atlassian Marketplace, which recently exceeded 2 billion in sales!
The Customer Analytics team at Atlassian uses insights from user behavioral data to improve the way our customers use our products in their daily work. We are a collaborative team with a high bar of rigorous analyses, and we love to have fun along the way
What you'll do
Work with other product leaders to identify opportunities for analytics, and align analytics and data science priorities with the product roadmapPlay with our large volume of analytics data to understand insightful trends and employ this behavioral data and insights to improve user journeys and customer valuePromote the measurement culture and understand the impact of our product strategy; including designing and analyzing experiments and feature launchesEnvision, scope, and build projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights to different levels of leadership to guide important decisionsFoster a world-class analytics culture, leading by example, through blogging, speaking, and the creation of self-service tools, to make a lasting change in how your partners use data to make decisions
Your background
4+ years of experience applying your analytics skills to projects which have an impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data programming language (Python, R, etc.)An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)Ability to explain complex concepts to diverse audiences, and creating compelling storiesProject management and prioritization experience; preferably with Data Engineering, Product Management, Research and Engineering teamsExperience using statistics as part of your role (e.g. regressions, A/B tests, forecasting)A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
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Data Scientist Data Analytics Engineering | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Do you have experience examining complex data and turning it into useful information and insights? Do you love finding the next big 'aha' insight which changes the way a business thinks about their customers? Would you like to lead change with global impact at the world's hottest SaaS company?
Atlassian is looking for a data quality expert to join our Marketing Analytics team as a Data Scientist, Data Analytics Engineering. We're looking for someone with business instincts and analytics mastery, who is passionate about applying these skills to lead smarter data decisions and delight our customers. You'll build scalable marketing analytics data products and pipelines. You'll do this by partnering with analytics and data engineering experts to understand the business and data landscape and build a data foundations roadmap.
What you'll do
Manage marketing analytics data product programs and pipelines (such as attribution or paid performance pipeline).Build productized data assets that meet customer needs that are scalable enough to growOversee data requirement gathering (including metrics and definitions alignment), establishing acceptance criteria, QAing, and testing for new products from start to finish to ensure everything is implemented and validated.Prioritize improvements and complete deep dives that build short-term improvements while partnering with broader data engineering team to define long-term road mapEstablish documentation for data product assetsPartner with marketing analytics and data engineering leadership to achieve "the best" data models and productsGuide demos sessions and education roll out for new data products and features to ensure adoption and usage
Your background
3+ years working with data analysis and engineeringAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with data ETLs and UAT processesStrength in one or more visualization tools (Tableau, R-Shiny, etc)An understanding of the SaaS development, business model and metricsFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsA degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
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Senior Product Data Scientist Enterprise Trust | Atlassian |
Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionately driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will work closely with the Enterprise Trust product management team to ensure our cloud is secure and ready for our enterprise customers. Whether it's SSO, directory syncing, or enhanced security, you'll be focused on supporting a broad portfolio of enterprise administration features and capabilities through their product lifecycle. You will often use imperfect data to influence strategic company decisions under tight timelines. We're looking for someone who is excited about building a strong data foundation with analytical rigor and best practices to make us best of class. This is a role that will stretch you, accelerate your learning curve, and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / RA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impactExperience instrumenting data and supporting products and/or features through their lifecycle
It's great, but not required, if you have:
Track record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
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Principal Data Scientist | Videoamp |
We are looking for a Principal Data Scientist passionate about all things Identity. This person has experience in Identity Graphs for Identity Resolution. The role leads methodology development for the entire Identity Resolution system.
TECHNOLOGY:
Python, Databricks, Snowflake, Postgres, Parquet, Neo4j
Pytorch, Boosted Trees
AWS, GCP, and On-prem Ecosystem
Kubernetes, Docker
RESPONSIBILITIES:
Partner with leaders, engineers, and data scientists to lead the development of an Identity Resolution system.
Communicate and drive adoption of new tech across our data science and engineering department.
Break down product initiative requirements, identify dependencies and create implementation plans.
Collaborate with product management and engineering leaders to understand requirements and gain alignment on product scope ahead of implementation.
Mentor individuals through detailed feedback during code and architecture reviews.
Mentor data scientists for technical leadership and best practices.
Act as a product expert to answer questions, explain results, and evangelize our products to customers or internal clients.
QUALIFICATIONS:
5+ years of production experience with:
A scripting language like Python.
Deploying models in a production environment.
Working cross-functionally delivering products to clients.
2+ years of production experience with:
Deploying Identity Resolution related models.
Writing SQL statements.
Communication with upper management.
Other Qualifications (Prefered but NOT required):
Experience using a graphing database like Neo4j.
Experience specifically with Pyspark and working with large data sets.
Experience handling PII data in compliance environments like CCPA or GDPR
PERKS:
Unlimited paid time off each year
Company sponsored health, dental and vision benefits for you and your dependents
Annual vacation and childcare stipends
Access to state-of-the-art fitness classes and personal trainers to promote your well-being
Partnership with DoorDash for meal deliveries
Employee Advisory Groups / Proactive Social Groups
Pet Funds + Pet Care Savings
401k Plan
Referral Bonus
Progressive approach to paid parental leave
Epic personal and professional growth opportunities
ABOUT
At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising. Come and join us!Come and Join Us!
#LI-Remote
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Sr Data Scientist Marketing Analytics | Citizens Bank |
Description
Description - External
The Senior Data Scientist will be responsible for supporting a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, data management, campaign management, process improvement, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the agile marketing area of the bank. This Senior Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations across various Bank products Streamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structureFormulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.Measure, track and report performance of various Marketing Campaigns. This is not limited but includes reporting on marketing KPIs like Cost per acquisition, conversion rates, click rates, website traffic and social media engagement
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
4+ years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred4+ years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Engineering/Statistics/Mathematics/Physics/Computer Science required, PhD preferred
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
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Sr Data Scientist Advanced Analytics | Citizens Bank |
Description
The Senior Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: machine learning, developing statistical models, identifying new opportunities and process improvements, and providing analytical insights and strategic direction to stakeholders, all in service of enhancing the customer experience.
As a Sr. Data Scientist, you will work alongside other Senior and Principal Data Scientists and subject matter experts to collect, organize, and prepare data, and to develop and analyze models, as well as to provide data-driven insights to the Collections and Recovery team.
Primary Responsibilities:
Efficiently develop and implement highly-performant models using a variety of toolsBuild relationships with the business line to access and interpret data sources, and identify process improvement opportunitiesApply appropriate quantitative techniques such as exploratory data analysis, regression analysis, supervised and unsupervised learning, feature engineering, statistical sampling, and data visualizationDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile frameworkDesign prototypes and perform ad hoc analysis for new analytical outputs like graphs, model scores, etc.Prepare model documentation and respond to effective challenges from model validation, internal audit, and regulatory reviews; oversee the tracking and execution of all external and internal validation findings related to vendor and internally developed modelsSupport ad-hoc requests from the line of business by understanding, communicating, and managing model risks
Qualifications
Required Skills/Experience
4-6 years of work experience in data modeling, statistical analysis, and relevant computing requirementsExperience in producing documentation in a highly regulated environmentStrong experience in Python, R, SQL to manipulate data and draw insights from large data sets
Strong verbal communication skills required with an ability to successfully communicate analytic results, business insights, and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, or information technologyExperience working on the Collections model is a plus
Education
Master's Degree or higher in Statistics/Mathematics/Computer Science
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
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Data Science Senior Advisor Medicare Advantage Advanced Analytics Evernorth | Cigna |
Summary
Medicare Advantage is a fast-growing Cigna business that depends on complete and accurate documentation for all members in our population. To that end, this role involves leading the design and development of new models utilizing complete longitudinal clinical records for each customer. This means developing new tools and techniques, using a variety of internal and external data sources, to enable a comprehensive understanding of a member’s clinically relevant information. You will join a collaborative, cross-functional team of stakeholders to solve challenging, open-ended problems. You will communicate modeling results and recommended process changes to MA leaders.
Key questions you would help solve include:
How do enable a comprehensive understanding of a member’s clinically relevant information?How do we incorporate clinical data and insights (structured and unstructured) into meaningful insights for our business and clinical partners?What is the potential business impact that can be driven by modeling results?Which model best addresses the business need at hand?
Are you are a data and analytics expert who enjoys collaborating and creating a “meeting of the minds” between business partners and analytics? Do you have experience of working with large databases (particularly with claims or clinical data), and manipulating data in a cloud environment (like AWS)? Do you enjoy digging deep into the data to surface new statistical insights, while incorporating guidance and suggestions from clinical experts? Do you excel at translating complex, technical analyses into simple, business-relevant findings and communicating those findings to business partners? Are you are self-motivated and enjoy working in a fast paced environment? If so, keep reading!
This position is with Evernorth, a new business within the Cigna Corporation.
Responsibilities
Initiate collaboration with stakeholders across the MA business to prioritize and define key performance indicators that can be addressed with risk adjustment targeting modelsEnhance the set of models that prioritize outreach efforts using various analytics tools and techniquesDevelop clear and thoughtful materials to communicate results/recommendations to business partnersWork effectively and efficiently on multiple tasks and deadlines, while producing high quality resultsEnsure quality and integrity of data collected and analyses performed
Qualifications
4+ years of work experience in health insurance analytics or actuarial/finance analysisExperience with ACA or MA risk adjustment scoring algorithms and targeting modelsExperience building and deploying machine learning algorithms in production preferredExperience with SQL-based relational databasesExcellent command of data science libraries in PythonProficiency with syntactic and semantic interoperability of health information exchange using data standards such as SNOMED CT, RxNorm, LOINC, and variations of HL7 (e.g. 2, FHIR, etc.)Experience working in a cloud based environment (preferably AWS)Ability to work with business partners in consultative mannerAbility to independently prioritize and manage multiple responsibilities
For this position, we anticipate offering an annual salary of $108,200 - $180,400, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Evernorth
Evernorth, Cigna Corporation’s health services segment, exists to elevate health for all. We're building on our legacy and redefining health care as we know it. Unbiased in how we think, we create without limitation. We partner without constraints, deliver value differently and act in the interest of humanity. Solving across silos, closing gaps in care, and empowering clients, customers, and people everywhere to move onward and upward. When you work with us, you’ll be empowered to solve the problems others don’t, won’t or can’t. Join us. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
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Data Science Lead Analyst Express Scripts | Cigna |
Summary
The Data Science Lead Analyst provides advanced professional input to complex Data Science assignments/projects. Responsible for the research, extraction and analysis of data. Evaluates and writes reports. May research and analyze algorithms. Provides statistical data trends to business partners such as medical management and underwriting. May also assist in the designing and implementation of systems to analyze and report findings. Combines IT capabilities with advanced clinical knowledge to determine trends, cost/benefit ratios, and forecasting of health care costs, medical management, and health economics. Supports and provides direction to more junior professionals. Works autonomously, only requiring “expert” level technical support from others. Exercises judgment in the evaluation, selection, and adaptation of both standard and complex techniques and procedures. Utilizes in-depth professional knowledge and acumen to develop models and procedures, and monitor trends, within Data Science.
Responsibilities
Develop analytic models and products, application of methods for analysis requests in manner that demonstrates understanding of & orientation against business valueWork content will be concentrated in the disciplines of forecasting & natural language processingCompletion of ad-hoc reporting and analytics for the product management team and our clients. This requires combining business knowledge and data acumen along with technical skills (SQL, Python, and Tableau) to efficiently complete these ad-hoc requests. Query data warehouse(s) using variety of tools availableConsultation with Enterprise Stakeholders and additionally account teams, financial analysts, and in some cases, clients to help understand complex (benefit setup, trend management solutions, pricing, and utilization) issues and inquiriesIndependently solve complex, analytical problems with innovative approaches and solutionsCreate efficiencies and reduce errors through automationComplete special projects as assigned
Qualifications
Experience working with Python or R, and SQL requiredUnderstanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methodsAbility to creativity with analytical, technical, and business acumen to problem solveProven ability to collaborate with others, establish working relationships, and communicate effectively within a large corporate matrix environmentSelf-motivation and comfort with ambiguityBachelor’s and Advanced degree highly preferred in Statistics, Mathematics Econometrics, Economics, Computer Science, or Data Science or equivalent work experience highly desired
For this position, we anticipate offering an annual salary of $74,600 - $124,400, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Cigna
Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you’ll enjoy meaningful career experiences that enrich people’s lives. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
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Data Science Advisor Medicare Advantage Advanced Analytics Evernorth | Cigna |
Summary
Medicare Advantage is a fast-growing Cigna business that depends on complete and accurate documentation for all members in our population. To that end, this role involves leading the design and development of new models to inform prospective initiatives for risk adjustment. This means leveraging a variety of claims-based and clinically-based (EHR) datasets to generate predictive models that enable a comprehensive understanding of a member’s clinically relevant information. You will join a collaborative, cross-functional team of stakeholders to meaningfully use these details to drive provider and member interventions. You will communicate modeling results and recommended process changes to MA leaders.
Key questions you would help solve include:
How can we build a machine learning algorithm to identify individuals at high risk for clinically relevant conditions, metrics of utilization, or other clinical outcomes?How do we incorporate clinical data and insights (structured and unstructured) into meaningful insights for our business and clinical partners?What is the potential business impact that can be driven by modeling results?Which model best addresses the business need at hand?What is the most effective outreach method to accurately document each customer’s risk?
You are a data and analytics expert who enjoys collaborating and creating a “meeting of the minds” between business partners and analytics. You have experience of working with large databases (particularly with claims and clinical data), and manipulating data in a cloud environment (like AWS). You enjoy digging deep into the data to surface new statistical insights, while incorporating guidance and suggestions from clinical experts. You excel at translating complex, technical analyses into simple, business-relevant findings and communicating those findings to business partners. You are self-motivated and enjoy working in a fast paced environment.
This position is with Evernorth, a new business within the Cigna Corporation.
Responsibilities
Consult independently with stakeholders across the MA business to prioritize and define key performance indicators that can be addressed with risk adjustment targeting models
Build and enhance models that prioritize outreach efforts using various analytical tools and techniques
Develop clear and thoughtful materials to communicate results/recommendations to business partners
Work effectively and efficiently on multiple tasks and deadlines, while producing high quality results.
Ensure quality and integrity of data collected and analyses performed
Qualifications
3+ years working with data in healthcare or life sciences field
Experience with SQL-based relational databases
Excellent command of data science libraries in Python
Experience working in a cloud based environment (preferably AWS)
Experience building and deploying machine learning algorithms in production preferred
Ability to independently prioritize and manage multiple responsibilities
Prior experience with ACA or MA risk adjustment program is preferred
Experience with diverse healthcare data preferred (e.g. claims, EHR, demographic, pharmacy, labs)
Bachelor’s Degree in a quantitative field (e.g. mathematics, statistics, computer science) or equivalent practical experience. Advanced degrees preferred
For this position, we anticipate offering an annual salary of $95,800 - $159,600, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
About Evernorth
Evernorth, Cigna Corporation’s health services segment, exists to elevate health for all. We're building on our legacy and redefining health care as we know it. Unbiased in how we think, we create without limitation. We partner without constraints, deliver value differently and act in the interest of humanity. Solving across silos, closing gaps in care, and empowering clients, customers, and people everywhere to move onward and upward. When you work with us, you’ll be empowered to solve the problems others don’t, won’t or can’t. Join us. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.
Cigna has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
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Data Scientist | Super Dispatch |
Mission:
The mission for the Data Scientist is to support the Product, Engineering, and Marketplace Operations teams by building reliable prediction solutions that can help Super Dispatch customers move cars faster. You will analyze and understand customer data, collaborate with other teams and departments, and improve existing recommendation and prediction engines. This is an exciting opportunity for an experienced data scientist to work on innovative solutions for our SaaS enabled marketplace.
Ideally this person will be within the Central/Eastern US or European time zones (between UTC-5 and UTC+2), so they are best able to collaborate with both our US and Central Asian teams.
Outcomes:
Build and evolve transformative, real-time marketplace pricing engines based on machine learning and reflective of dynamic market conditions
Improve existing recommendation or prediction engines by collaborating with key stakeholders (internal and external)
Develop a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
Improve machine learning models to deliver reliable and scalable solutions
Collaborate with other departments and teams to improve data collection, process and error handling, and data normalization
Provide thought leadership on data science to Product and Engineering Teams with best practices
Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies
Competencies:
Curious - you ask questions and are eager to learn.
Analytical mindset - you are able to structure and process data and draw insightful conclusions from it.
Systematic thinker - you can balance big picture strategy with details, you have strong execution and delivery.
Problem solver - you have solved complex problems and have the aptitude to navigate uncharted waters.
Team player - you have a collaborative mindset, the ability to work with cross-functional teams, and build positive relationships with individuals across the organization.
Growth driven - you are willing to learn new tools and technologies to work effectively in a rapid growth environment with changing needs and requirements.
Self motivated - you work independently and take initiative.
Preferred Candidate:
2+ years experience in a data scientist role, preferably working on a recommender system
2+ years of professional experience synthesizing insights from data using Python, R, and SQL
2+ years experience with Machine Learning Frameworks (Tensorflow and/or PyTorch) and their real world applications
Experience working with AWS or GCP
What We Do:
Super Dispatch is one of the fastest growing tech startups in Kansas City, and we're transforming the world of vehicle shipping. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.
Who We Are:
Our diverse team is comprised of highly motivated professionals with a passion for solving big problems with technology. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We put our team first. We are committed to supporting each other and helping each other grow on this journey.
The salary range for this position is $100k - $120k annually.
Please note: U.S. Citizens and those authorized to work for any employer in the U.S. are encouraged to apply. We are unable to provide sponsorship at this time.
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Sr Data Scientist Techops | Crowdstrike |
#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.About the Team:The CrowdStrike Technical Operation Analytics organization is growing an application development team. Our organization specializes in solving elusive problems. We are a hybrid team of scientists, developers, and analysts who directly support CrowdStrike leadership with custom and off-the-shelf applications.Our team offers the opportunity to engage directly with advanced technologies projects (e.g. data science, graph neural networks, natural language processing, and optimization) while improving our ability to protect customers (e.g. startups, Fortune 500, nonprofit, etc.) across all industries from global security threats.You should be ready to collaborate with cross-product engineering teams and business stakeholders to support data science and machine learning application development from prototyping through production-ready deployment and management culminating in deprecation. While the focus will primarily be on backend pipelines, data structures, APIs, and microservices architectures, the ability to help with frontend work will also be helpful.What You'll Need:
4+ years of experience as a full stack developer or similar role
Familiarity with Machine Learning
Experience developing web services with idiomatic language patterns using any of the following: Python, Java, Node.js, Go, Scala
Experience creating and maintaining pipelines, databases, and other backend systems
Preferred Qualifications:
Experience developing machine learning models (e.g. Classical Machine Learning, NLP, CNN)
Experience developing rich applications with HTML, CSS, front-end frameworks (such as React, Angular, Vue.js) and test frameworks (e.g. Jest, Mocha, Selenium)
Experience with AWS and Serverless technologies is a plus
Experience working with server side middleware technologies (Spring MVC, ExpressJS, Rails)
Familiarity with scrum/agile task tracking (e.g. Asana, JIRA, Confluence)
Able to identify and mitigate risk on projects
#LI-LY1#LI-MG1#LI-RemoteBenefits of Working at CrowdStrike:
Remote-first culture
Market leader in compensation and equity awards
Competitive vacation and flexible working arrangements
Comprehensive and inclusive health benefits
Physical and mental wellness programs
Paid parental leave, including adoption
A variety of professional development and mentorship opportunities
Offices with stocked kitchens when you need to fuel innovation and collaboration
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 salary range is $145,000 - $230,000 per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The salary range may differ in other states.CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work
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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!Start and End Date Options (12 Week Internship)Start Date: May 31, 2023 | End Date: August 18, 2023Start Date: June 5, 2023 | End Date: August 25, 2023 Start Date: June 12, 2023 |End Date: September 1, 2023 Company Overview: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 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.Fully Remote:The Data Science Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. For our 12-week internship program, interns are allowed to work remotely from an alternative location for up to 2 weeks. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.About the Role:
You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats.
Work directly with Sr. Data Scientists, helping to create predictive machine learning models that help detect and stop today's most sophisticated threats
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
Minimum Qualifications:
By the beginning of the internship, interns must have completed at least 2 years at a 4-year undergraduate university.
Analytically minded with completed coursework in linear algebra and statistics or an equivalent knowledge of applied mathematics.
Experienced in writing python code to pre-process and analyze data to generate actionable insights.
Bonus Points:
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
Eagerness to learn working in a Linux environment in the AWS cloud
Passionate to gain knowledge of CI / CD and associated best practices along with Docker-based development and orchestration
Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)Prior experience with Spinnaker, Relational DBs, or KV Stores
What You Can Expect:
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
What 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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Manager Of Product Analytics | Ezcater |
ezCater is the most trusted provider of corporate food solutions – a $300+ billion market in the US alone. ezCater is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille, and had an up-round in December of 2021 when we were valued at $1.6 billion.
Data and analytics are critical to our future growth at ezCater. As a Manager of Product Analytics, you will oversee all facets of analytics for multiple product domains, directly leading a team of analysts to leverage our rich data asset to identify and drive new growth opportunities, all while partnering closely with our Data, Analytics, Product Management, and Engineering colleagues.
The ideal candidate will be a strong critical thinker, able to tackle complex analytical challenges, and comfortable working across a broad array of advanced analytics techniques while being a trusted partner to a talented, collaborative peer group. You’ll also be comfortable rolling up your sleeves as a manager-doer in order to lead the team in implementing our analytics roadmap to tackle ambiguous analytics challenges, provide data-driven insights and solutions, and create scalable analytics practices and approaches across the business.
What You'll Do:
Lead, manage, mentor, and develop a growing team of product analysts, focused on our supply (Caterers & Partners) portion of our marketplace
Own and develop the strategic analytic 6-12 month roadmap and agenda to unlock insights about how our caterers use of our products to manage their business, guiding the business through action-oriented business insights and recommendations.
Distill insights and reporting from our end-consumer side of the marketplace to enable our catering partners and supply side of the market to better grow their business
Develop scalable analytic processes, methods, and self-service tools to ensure other analysts and partners are empowered to make data-driven decisions with a positive impact on success metrics
Lead the team in development, prioritization, and execution of analytic strategy for broad, complex, unstructured analytics problems while driving forward deliverables that address fundamental and ambiguous business questions.
Guide and direct analysts’ deep-dive advanced statistical and data science analyses (e.g. clustering models, classification, etc)
Collaborate with all facets of the organization including product management, engineering, and creative design to lead teams in identifying the most impactful ways for data and analytics to drive decision making and accelerate growth.
Identify the data and analytics necessary to enable our catering partners to grow their business, developing financial impacts through scenario planning, modeling, and sensitivity analysis.
Explain how caterers are using our products through data-driven analysis, including a combination of ad hoc analyses, KPI definition & monitoring, dashboard & report building, experimentation design and analysis, and proactive insight generation and modeling.
What You Have:
Have 6-10 years experience in a relevant field, such as analytics or data science, performing quantitative and technical analysis, ideally with experience in marketplace or e-commerce environments (supply/operations side a plus)
Past experience leading and developing a team of individual contributors and/or large projects with multiple contributors
Self-directed and demonstrated ability to define, prioritize, and direct analytics initiatives
Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap for a team.
Demonstrated proficiency in explaining complex analysis to stakeholders at all levels of the organization and translating conclusions into straightforward, actionable business recommendations and strategic direction.
Expert proficiency in SQL; Experience with statistical modeling tools (R, Python) and common data science / ML approaches (e.g. Random Forest, Gradient Boosting and Logistic Regression, etc) a plus
Expert conducting quantitative analyses on large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Tableau, Google Data Studio, PowerBI)
Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
Experience partnering with business teams on agile model development.
Experience in 2-sided marketplaces for both B2C and B2B customers is a plus
Experience with experimental test design including A/B testing a plus
Be able to own and deliver projects/programs both on your own and as a member of a broader team.
The national cash compensation range for this role is $132,000 - $176,000* per year
*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).
ezCater does not sponsor applicants for work visas or legal permanent residence.
What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.
Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.
Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.
ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.
For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.
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#BI-Remote
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Lead Data Scientist | Clearcover |
Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Lead Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?
Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy
What do you need?
5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences
Nice to Haves?
Experience working in insurance, marketing, or fraud
An advanced degree
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Sr Data Scientist | Clearcover |
Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Sr. Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Sr. Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?
Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy
What do you need?
3+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences
Nice to Haves?
Experience working in insurance, marketing, or fraud
An advanced degree
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out! Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Senior Data Scientist Optimization | 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. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Design prescriptive type analytical models using python docplex, commercial languages/systems/solvers (OPL, CPLEX, IBM DOC), ad-hoc heuristics or metaheuristics Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Research & design algorithms to solve problems across the organization touching the various parts of the business Implement & coordinate with the development team to translate the model into production code Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions Lead OR approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable ML/OR models that are seamlessly incorporated into analytic data products. Stay connected with external sources of ideas through conferences and community engagements. PhD in Mathematics, Statistics, Industrial Engineering, Operations Research or a related field with statistics courses/publications/proven expertise or Master's degree plus 4 years of industry experience Experience in Supply Chain or Retail. Strong mathematical background (linear algebra, calculus, statistics, optimization). Strong coding skills including optimization algorithms Deep understanding of optimization (constrained, convex and non-convex optimization problems, IP and LP, QP, MILP, MINLP, problems and solvers) Being able to translate real world situations into mathematical constraints and objective functions Ability to drive a project and work both independently and in a team Fluent in optimization modules in Python or R. Experience with Gurobi is preferred. Exceptional communication and collaboration skills to understand business partner needs and deliver solution 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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Staff Data Scientist Applied Science Education | Chan Zuckerberg Initiative |
The Opportunity
Our work in education is aimed at ensuring that every student — not just a lucky few — can get an education that’s tailored to their individual needs and supports every aspect of their development. We’re pairing engineering with grantmaking, impact investing, policy, and advocacy work to help every young person enter adulthood with the skills and abilities they need to reach their full potential — and equip every teacher with the tools and research they need to help students get there. An example of the work CZI's education team supports include the Summit Learning Program, a personalized approach to teaching and learning that enhances the quality of student-teacher interactions and empowers educators to tailor instruction to individual student needs.
Our Education Data Science team is responsible for measuring, evaluating and building product and program changes. For example, how teachers can personalize curriculum for student needs, how the product can recommend actions to teachers saving their time and helping project based learning, how professional development can be personalized for teachers etc. This team influences strategies with insights, measures success through experiments, and builds data powered products, as they collaborate and communicate with the cross-functional and leadership teams.We are looking for a Staff Data Scientist with Applied Science focus, who has a passion for building machine-learning solutions, communicating data insights and scientific vision, and executing strategic projects. You'll collaborate closely with your colleagues in Engineering, Product Management, User experience researcher & Product design. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding.
You will
Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.
Run A/B experiments, gather data, and perform statistical analysis.
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production
Deliver effective presentations of findings and recommendations to stakeholders, creating visual displays of quantitative information
Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
You have
At least 4 years of experience with M.S. or Ph.D. in quantitative field (preferred Statistics, Machine Learning, Computer Science) with a strong Machine Learning background.
Experience in building machine learning models and applying best practices to solve real-world problems with recommendation, personalization and natural language solutions.
Experience with Python, Scala, or C++.
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience with varied technical skills.
Experience working cross-functionally with teams of product managers, engineers, designers, researchers and data scientists.
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Senior Data Scientist | Point |
(Local or Remote)
ROLE OVERVIEW
We’re seeking a talented Senior Data Scientist to join our growing team. You’ll play a critical role on our Data Science team and be instrumental in driving long-term growth for the company. The ideal candidate has strong analytical and problem-solving abilities and is excited by the opportunity to navigate large amounts of data to identify patterns, distill insights, and solve complex problems. This is a highly visible role with significant autonomy and the opportunity to work across several teams.
RESPONSIBILITIES
Play an instrumental role across various data-intensive projects. Projects may include marketing propensity models, lead scoring, underwriting automation, fraud detection, pricing optimization, and portfolio risk modeling.
Use Python or R to process and clean terabytes of prospect data, derive insights, and build predictive models.
Evaluate different machine learning algorithms and models to identify optimal methodologies for a given problem.
Work with internal and external stakeholders to lead projects end-to-end, including identifying problem statements, planning the analyses, hypotheses testing, and reporting.
Use SQL/R/Python to collect data, visualize the situation, identify root causes, and generate recommendations.
Design and build informative dashboards on the company’s BI platform.
ABOUT YOU
You have a bachelor’s or a master’s degree from a competitive institution, or equivalent professional experience. A degree in a quantitative field such as science, math, computer science, or engineering is preferred.
You have 6+ years of experience in data science, machine learning, data analytics, or similar role.
You’re skilled in R or Python. You ideally have hands-on experience with SQL, Excel data analyses, and large datasets.
You have expertise with ML techniques such as logistic regression, random forest, XGBoost, etc.
You can research and compare multiple modeling methodologies to identify the best model.
You can identify the right loss functions to use for model evaluation.
You’re familiar with statistical topics including ANOVA, A/B testing, correlation, regression, etc,
You’re able to think creatively and critically. You thrive in a fast-paced, dynamic, and often ambiguous work environment.
You bring strong interpersonal skills and excel in cross-functional team environments.
ABOUT US
Our Product
“Point provides the opportunity to stabilize your financial situation without adding costly monthly payments.” - Homeowner in Burlingame, CA
Here at Point, we’re helping homeowners unlock the equity in their homes without taking on further debt. With an investment from Point, homeowners can de-leverage and diversify their wealth, freeing them up to invest in their business, renovate and maintain their home, eliminate debt, and tackle all of life’s expenses from college tuition to medical bills. Our equity investment product is an advantageous alternative for homeowners and investors alike. When partnering with Point, investors now have access to a brand new asset class - homeowner-occupied residential real estate. Point is the first fintech product that is truly aligned with consumers’ interests - when the homeowner does well, Point and its investors do well.
Our Team
People first
As a consumer fintech company, we embed integrity, transparency, and trust into everything we do at Point, including how we work. Whether you’re a homeowner, investor, employee, or candidate, it’s people who power our business. We keep the human experience top of mind.
Experts at work
We’re on a mission to help the 23 million equity-rich, but cash-constrained Americans tap into their home’s wealth. To do so, we have experience and expertise in all areas of the business, especially at the helm. Point’s leadership have previously founded TrialPay (acquired by Visa), Yub (acquired by Coupons.com), Metails (acquired by Buy.com), SiteAdvisor (acquired by McAfee), Affirm, SendGrid (acquired by Twilio), and TXN (acquired by Envestnet).
Championed by the best
Point announced its $115M Series C led by WestCap in May 2022. To date, we’ve raised over $170M from leading investors including Andreessen Horowitz, Prudential Financial, DAG Ventures, Ribbit Capital, Greylock, and SV Angel.
PERKS AT POINT
Health Insurance
Point provides platinum-rated plans for medical (Anthem Blue Cross or Kaiser Permanente), dental and vision (The Standard). We cover 99% of employee premiums and 75% of dependent premiums.
Generous Vacation
Take time for yourself and your family when you want - Point has an unlimited vacation policy.
Continued Learning
We encourage all team members to attend events hosted by our investors, external workshops and conferences. We believe in continuous improvement and want to support employees on their professional journeys.
Family Friendly
Point will top off California PFL earnings to full salary for up to eight weeks, as well as two weeks of fully paid leave to be available after exhaustion of CA PFL. An employee can take reasonable vacation time in addition to the California PFL leave. For employees outside CA, Point will top of PFL earnings in accordance with the state applicable leave laws.
Work From Home Stipends
With employees working remotely, Point will provide employees a $50 monthly cell phone stipend and a $50 monthly internet stipend. In addition, we will reimburse up to $150 to help you purchase supplies for your home office.
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Senior Financial Data Scientist | Amherst |
The Amherst Group of companies comprise of leading real estate investment and advisory firms with a mission to transform the way real estate is owned, financed and managed. Amherst leverages its proprietary data, analytics, technology, and decades of experience to seek solutions for a fragmented, slow-to-evolve real estate ecosystem and to materially improve the experience for residents, buyers, sellers, communities, and investors. Today Amherst has over 1000 employees and $14.1 billion in assets under management.Over the past decade, Amherst has scaled its platform to become one of the largest operators of single-family assets and has acquired, renovated, and leased more than 46,000 homes across 32 markets in the U.S. The firm delivers customized, stabilized cash-flowing portfolios of assets to its investors, wrapped in all the ongoing services required to manage, own, and finance the asset including property management, portfolio management, and a full capital markets team. In addition to its single-family rental platform, Amherst’s debt business pursues two distinct credit strategies in mortgage-backed securities and commercial real estate lending. Over its 25-year history, Amherst has developed a deep bench of research and technology talent, and leverages data and analytics at every stage in the asset lifecycle to improve operations and preserve long-term value for our investors and the more than 188,000 residents the firm has served.Amherst Services Corporation seeks Senior Financial Data Scientist to work at its office in Austin, TXJob Description: Develop modern predictive analytics, identify key areas for improvement and optimization to drive insightful business strategies, and improved business performances. Consult with technology department teams to safely deploy the predictive analytics in scalable and controlled environment. Lead the company through modern predictive analytics and identify most impactful areas for research and development in predictive analytics. Apply financial economics and business intelligence tools to address better visualization and transparency of data analytics. Collaborate with data stewards to improve data availability and quality while ensuring compliance with regulatory and security policies.Qualifications: Master’s degree in n Computer Science, Data Science, Financial Engineering, Finance, Mathematics, Statistics, Analytics, foreign equivalent or closely related field.Required skills: Position requires experience in the following specific skills:
Machine Learning and Artificial Intelligence (AI);
Data science toolkit such as SQL or Python (including Pandas, SciPy, Scikit-learn);
Data visualization tools (e.g., Tableau); and
Statistical packages (e.g., SAS).
Employer will accept skills gained in pursuit of graduate-level degree via coursework, projects or internships. Skills may be gained concurrently.Multiple openings.
Our full-time employee benefits include:
A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events
Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.
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Financial Data Scientist | Amherst |
Amherst is revolutionizing the way U.S. real estate is priced, managed and financed in order to unlock opportunities for all market participants. Driven by data, analytics, and technology, Amherst has a 20-year history of anticipating where the next risks and opportunities are likely to emerge and designing actionable strategies for investors to capitalize on opportunities across residential real estate, commercial real estate and public securities. Amherst, along with its affiliates and subsidiaries, has more than 900 employees, $5 billion under management and approximately $15 billion under advisement and oversight. www.amherst.com.Responsibilities:
Support modeling analytics team through research and production support
Maintain and enhance analytic applications and data structures used for modeling and forecasting
Create and document technical and user processes
Support modeling analytics team through project initiatives, research, and business objectives
Liaison between the business units, technology teams, and support teams to ensure clear communications among stakeholders
Develops documentation, reports, and project plans and prepares and may present briefings and staff seminars.
Build relationships with development teams, leads, clients, and users
Demonstrate strong intellectual curiosity and is constantly looking to learn new skills
Work with business partners to help identify, analyze and resolve any issues
Be a change agent, ensuring users embrace new and innovative technology
Requirements:
MS or Ph.D. degree in a quantitative field; Economics, Statistics, Mathematics, Physics, Operational Research, etc.
Strong quantitative and analytical problem-solving skills and experience working with large datasets
Knowledge and understanding of econometric and statistical techniques
Must be an intellectually curious self-starter and motivated to continually learn, interested in real estate finance
Proactive, hardworking team player with strong communication skills and business intuitions
Pluses:
Knowledge in fixed income, real estate or risk analytics
Hands-on experience with SQL & Python
Experience with BI tools such as Tableau
Our full-time employee benefits include:
A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events
Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.
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Director Data Scientist | Usaa |
Purpose of Job
About USAAUSAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA is looking for an experienced Director of Data Science to help drive the future of our Predictive Analytics & Optimization team. In this role, you'll manage the build and implementation of impactful and scalable solutions to solve a variety of product, pricing and underwriting problems across our P&C Personal Lines organization. You will help architect, design and build algorithms using big data and highly scalable data science technologies to drive business value. You’ll be working alongside our Pricing Activation and Modernization, Strategy and Data Enablement teams from ideation to deployment, rapidly researching and testing new, innovative approaches to loss cost modeling, member segmentation/experience and other big data problems. The ideal candidate will be able to jump in and work alongside their team to build and test proposed solutions in personal lines auto, property and customer domains all while providing thought leadership and continuous improvement of our predictive performance of our loss cost platforms.
This Director will work in a Hybrid Work Environment preferably from our San Antonio, TX office location. We may consider this leader to work in a Hybrid Work Environment from another USAA office location to include Tampa, FL, Chesapeake, VA, Phoenix, AZ, or Colorado Springs, CO. However, a Remote (Work@Home) opportunity may also be considered. USAA values a culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home. The actual onsite days are settled between each employee and the employee’s leader. Candidates working in the Hybrid Work Environment are expected to live a commutable distance from the selected USAA office location.
Leads a team of Data Scientists responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate management insights and enable customer-facing applications. Applies technical acumen and in-depth understanding of business processes and practices to influence the creation and execution of operational and strategic plans. Partners with IT and other areas to build major improvements to analytical processes and systems. Advises Senior Leadership on the development of data science solutions and long-term goals and or strategies. Maintains relationships with academic and industry leaders with vision to ensure the enterprise has access to ground breaking thinking and technologies.
Job Requirements
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.Oversees and carries out the exploration of promising new technologies, analytical methods and data sources (internal to USAA & external) that have potential to contribute to the enterprise.Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.Understands the business direction, and environment and strategies to identify and recommend solutions that influence decision makers and inspire change.Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.Builds and leads a high performing team of experts in advanced analytics; develops team reputation as highly skilled experts in the field of data science.
Minimum Qualifications:
Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years of experience in predictive modeling, large data analysis and computer science.3 years of direct management experience.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Deep technical skills, consulting experience, and business savvy to work with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Qualifications:
Experience in experimental designAdvanced knowledge of statistical methods, mathematics, and AI/ML algorithms including traditional general linear model (GLM) family models (including linear and logistic), tree-based methods (random forest, gradient boosted models), deep learning methods (neural networks, etc.), and general optimization methods (e.g., gradient descent, etc.).Knowledge in model performance evaluation techniques, metrics and validations strategies (nested-cross-validation, etc.).Expert in data visualization using Python/R and TableauExpert in communicating concepts, proposals, ideas and results to key decision makers
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $155,400 – 279,800*.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
To see details on our outstanding benefits, visit USAA Total Rewards.
Relocation assistance is available for this position.
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Data Scientist Mid Level | Usaa |
Purpose of Job
We are seeking a hardworking and dedicated Data Scientist-Mid Level to work remotely.
Uses sophisticated techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions maximizing internal and external applications to deliver value and build competitive advantage. Translates sophisticated analytical and technical concepts to non-technical employees.
Job Requirements
Tasks:
Identifies and leads existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are successfully identified, measured, supervised, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with analysts across the organization to fully define business problems and research questions; Supports SMEs on cross matrixed teams to take on highly sophisticated work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts sophisticated analytics using predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates sophisticated analytical and technical concepts to non-technical employees to enable understanding and drive advised business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and proven application of knowledge, skills, and abilities towards work products.Proficient level of business insight in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Relevant banking domain knowledge particularly in areas such as AML, Fraud, Consumer Disputes, or Central Operations.Strong Python, SQL skills.Project experience with Graph Databases such as Neo4j, AWS Neptune or similar.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Proven ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200-$158,900.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
To see details on our outstanding benefits, visit USAA Total Rewards.
Relocation assistance is not available for this position.
#FSB
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Decision Science Analyst Mid Level Marketing | Usaa |
Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
This role is available as remote or can be located at our San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; or Tampa, FL offices.
The candidate selected for this position will work on the Bank Marketing Analytics Team in USAA’s Strategy, Digital, and Brand organization. They will work with emerging analytical tools and have the opportunity to build new measurement frameworks while working directly with partners across USAA.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Ability to work on multiple projects in a fast-paced environment with limited supervision.Strong relationship management and negotiation skills; ability to influence senior leadership and drive business results.Experience implementing emerging technology and techniques for analytical purposes.Testing experience – designing, leading, executing, and analyzing results.Prior marketing analytical experience; knowledge of marketing analytical process and measurement framework.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $72,900 - $131,400* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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Data Scientist | Keeper Security Inc |
Keeper is hiring a talented Data Science engineer to join the Keeper Business Intelligence team. 100% remote position!Keeper’s applications are trusted by millions of users around the world and thousands of Enterprise customers. Join one of the fastest-growing Cybersecurity companies and gain valuable skills working as a Data Scientist to drive growth.About KeeperKeeper Security, Inc., ("Keeper®"), the creator of the leading cybersecurity software, is transforming the way organizations and individuals protect their passwords, secrets and sensitive digital assets to prevent data breaches and cyberthreats. As a leading cybersecurity defense platform, Keeper helps millions of people and thousands of businesses substantially mitigate the risk of a data breach. Keeper is SOC 2 Certified, ISO 27001 Certified and utilizes best-in-class encryption to safeguard its customers. Keeper Security is backed by Insight Partners, a leading venture capital and private equity firm with $90b AUM. Insight Partners invests in high-growth technology companies that drive transformative change in their industries. Keeper's products are the highest-rated in the industry across G2, Trustpilot, PCMag and U.S. News & World Report.About the Job:Join an elite team of highly skilled members and play a key role in designing, building and executing data models, dynamic scorecards, dashboards, data studies and cohort analyses. The models and intelligent KPI reports that you create will be used to evaluate and optimize current and new business strategies, product mix, marketing strategies - all which are aimed at growing our business. You’ll also work with senior leadership to develop key performance indicators (KPI's) to ensure that our products are performing optimally.You’re right for this job if you: Have a passion for data as well as the research, testing, and optimization that comes with it. Enjoy developing meaningful metrics, dashboards, and reports for end-users and leadership. Establish and carry out data quality checks to ensure all deliverables are timely and accurate. Have a solid understanding of finance, economics and business concepts. At least 3 years working in a data science or analytics role. Strong knowledge of SaaS metrics and KPIs. Extensive Tableau experience. Extensive database experience working with SQL / MySQL. Data lake/data warehouse experience A proven ability to learn and dissect processes and business concepts. Exceptional written and oral communication skills. A positive mindset, team-oriented, results driven, and organized. Preferred Requirements: Master's degree or PhD in Computer Science, Data Science or equivalent discipline. Have experience working in a fast paced, high growth environment and the desire to build a company’s capabilities in statistical analysis. Experience with Salesforce bi-directional interface in building dynamic, rich content for Salesforce Medical, Dental & Vision (Inclusive of domestic partnerships) Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life Voluntary Short/Long Term Disability Insurance 401k (Roth/Traditional) A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) Above market annual bonuses Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.Classification: Exempt
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Senior Data Scientist | Pinwheel |
Pinwheel - Building a fairer financial system by unlocking API access to payroll systems.
More than half of Americans have a poor credit score or no score at all. Since most financial institutions rely on traditional credit scoring to assess risk, that means these people can't access affordable financial products. Instead, they resort to high-interest credit cards, payday loans, and trigger overdraft fees to make ends meet — which push them into deeper cycles of debt.
Pinwheel provides an API platform that makes it easy to connect payroll accounts like ADP and Gusto to any app. By unlocking the wealth of identity, income and employment data that sits in these systems, alongside direct access to paychecks, we can help build the next generation of financial products that increase access for the underserved while improving the businesses of our partner fintechs, banks, and lenders.
Who are we looking for?
As our first Senior Data Scientist, you will play a key factor in driving Pinwheel’s next stage of growth. More concretely, you will be responsible for:
Unlocking the next line of revenue generating products for Pinwheel.
Building data science frameworks for solving complex business problems and driving improvement to key business metrics.
Spearheading the efforts to collect new data and enrich existing data.
Mentoring other team members to level up the data and analytics function.
Cultivating strong partnerships with executive, product, and engineering stakeholders in launching industry-defining products using income and employment data.
What qualifications are necessary?
7+ years of experience as a data scientist.
Ability to code independently using data technologies - SQL, Python, Jupyter Notebooks, and latest Data / ML libraries.
Expertise in data science and ML techniques along with their mathematical models, such as regression, classification and clustering.
Strong product orientation coupled with relentless curiosity.
Ability to thrive in an agile, rapidly changing, and collaborative environment.
Excellent communication skills and ability to influence cross-functional partners.
Preferred Skills:
Master’s degree or above in Statistics, Mathematics, Computer Science or related disciplines.
Prior experience working with user data and/or direct to consumer tech.
Experience working in an AWS environment.
Prior data engineering experience.
Why join Pinwheel?
Best Time to Join - We are small but well-funded, meaning you get the upside of starting on the bottom floor with minimal risk.
Be a Cultural Founder - You will have an active hand in molding our culture and being a part of the growth journey.
Build Something Revolutionary - Help build the consumer data infrastructure of the future.
Benefits included:
Great compensation & equity packages
Full medical, dental, and vision benefits
Life & short-term disability insurance
Unlimited vacation
Paid parental leave
401K for retirement planning
Mentorship opportunities
Free Citibike membership
Pet friendly offices and Zoom spaces
Diversity & Inclusion at Pinwheel
At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.
As part of our commitment to health and safety, Pinwheel requires employees to be fully vaccinated against COVID-19 as permitted under applicable law.
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Senior Data Scientist Data Science Products Bankrate | Red Ventures |
What You'll Do
Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We're Looking For
4+ 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:
text and video content generation - using natural language processing and generation, deep learning, computer vision and explainable supervised learning.
website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
marketplace optimization - using forecasting, multi-level modeling, linear programming, and other constraint-based optimization approaches.
Candidates with specific expertise in any of these areas will be highly preferred.
Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.
Who We Are
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
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.
Red Ventures 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 Red Ventures 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-cm1
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Senior Data Scientist Member Services | Etsy |
Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for an experienced analytics professional to support the product team responsible for building solutions to deliver effortless, human support to buyers and sellers. Your team’s work ensures Etsy provides world-class customer support and a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As a Senior Data Scientist working in the Member Services area you will work to deliver clear insights, and provide access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. Are you passionate about using sophisticated behavioral analysis to drive product development and strategy in customer support? If so, this could be a great match.
This is a full-time position reporting to the Manager, Member Service Analytics. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our support product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of our support products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Continually evaluate and refine your technical toolkit; teach what you learn to the team.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years of proven success as a data analyst focused on supporting product teams with data access, reporting, and insights.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable.High proficiency with advanced analytical techniques and SQL.Ability to communicate insights to senior executives verbally, visually, and in writing.A trust in and commitment to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.
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Senior Data Scientist Growth Analytics | Ramp |
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 3000 businesses are spending an average of 3.3% less and closing their books 8 times faster, thanks to Ramp’s finance automation platform that enables billions of dollars of purchases each year.
Founded in 2019, Ramp has seen nearly 10x year-over-year growth which has led to a valuation of $8.1 billion in just over 3 years. Its investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The team is made up of talented leaders from some of the leading financial services and fintech companies—Capital One, Stripe, Affirm, Goldman Sachs, American Express, Visa—as well as high-growth technology companies like Facebook, Spotify, Zendesk, Uber, Dropbox, and Instacart. Recently named Fast Company’s most innovative finance company, Ramp is NYC’s fastest-growing startup and America’s fastest-growing corporate card.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. The Data Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.
Inference & estimation data science at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.
What You’ll Do
Develop Ramp’s research and experimentation frameworks by developing causal inference based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage a combination of causal inference, structural modeling and optimization to build key models to solve core business problems
Formulate backtesting frameworks to empirically validate model performance
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision making across Ramp
What You Need
Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 years of industry experience as a Data Scientist, Research Scientist, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery), experience working with large datasets in Python
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice to Haves
PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Experience at a high-growth startup
Ramp Benefits (for U.S. based employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
OneMedical annual membership
401k (including employer match)
Unlimited PTO
Annual education reimbursement
WFH stipend to support your home office needs
Monthly wellness stipend; Headspace annual membership
Parental Leave
Relocation support
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Sr Data Scientist Bets Analytics | Reddit |
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are excited to bring a Data Scientist on board to work with Reddit Team X leading the new initiative discovery efforts. Reddit Team X iterates on new features that build the next generation of Reddit Community that is Synchronous, Self-sustaining, and Extensible.
As the Senior Data Scientist embedded on the team, you’ll be the expert in ensuring we understand how users consume and engage with new features across different discovery surfaces. You will help us make the right product decisions based on experimentation and analyses that use the world’s coolest dataset. You will partner closely with other data scientists, engineers, PMs, and designers, and your work will accelerate new feature adoption and promote user engagement and retention.
What You’ll Do:
Partner cross-functionally with Eng and Product leads to help define and implement the team's roadmaps and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Design and evaluate A/B tests for product feature experiments to understand the effectiveness of product strategy
Generate data-driven insights that propose next steps in strategic roadmaps
Who You Might Be:
4+ years of experience in Data Science or Analytics function in a tech consumer company
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Have worked with teams leveraging Machine Learning for ranking or similar features
Ability to tackle ambiguous and undefined problems.
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
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Lead Applied Data Scientist | Civis Analytics |
What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions.
ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company.
Responsibilities
Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals.
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups
Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research
Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Manage and mentor teams of data scientists
Some limited travel required (typically <10%)
Minimum Qualifications
Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.)
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Experience managing teams to complete products within scope and on time
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment
Preferred Qualifications
Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration
Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus
Familiarity with machine learning, and causal inference a plus
Experience working for a consulting, services, or advisory firm
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients
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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Senior Data Scientist | Paramount |
Paramount Global (NASDAQ: PARA, PARAA) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions.
About the Content Optimization Team
We are looking for a Senior Data Scientist to join the newly crafted Content Optimization team. Our mission is to use modern data science to inform decision-making relating to content windowing and investment across ViacomCBS businesses. In this role, you will join a group of top-notch data scientists and data engineers who build predictive models that support highly critical multi-million dollar content-related decisions. This will be achieved in collaboration with our other data science and research groups across ViacomCBS.
The role reports to the SVP of Content Data Science. This represents a uniquely exciting opportunity for a data scientist to deliver impact at a leading premium global content company, in an exciting and rapidly-evolving industry.
We are seeking individuals with deep technical skills who seek to be the smartest in the room and are not afraid of being surrounded by smarter ones, individuals who are results-oriented enough to work on multi-year projects that have the potential to build significant value across all parts of our business.
About you. You must be:
Feel very comfortable asking a lot of questions
Comfortable with Kanban and Scrum as well as no structure at all because you understand that one model does not fit all
Apt at being at time a leader and at other time a follower, possibly with the same people regardless of ranks and seniority, depending on how you contribute to a project
Enjoy written communication because it gives you a medium to express highly complex and nuanced ideas
Overview & responsibilities:
Preference is to be based in Atlanta, GA but may work remotely within the US
The data scientist uses advanced statistical and scientific methods to deliver insightful analysis that helps to inform critical business problems relating to content valuation
This role reports to the Senior Vice President for Content Data Science
This is a role responsible and accountable for:
Building models (e.g. acquisition, retention, viewing behavior on streaming platforms)
Servicing multiple ad hoc requests in a timely manner
Ensuring regularity and standardization in data, metrics, and analysis
Basic qualifications:
4+ years of commercial experience in a data scientist role, capable of writing production grade code
Knowledge of current ML, AI techniques, both in terms of implementation and theory
MLOps experience (MLFlow, Kubeflow, Seldon)
Excellent Python (including Pandas and NumPy), familiarity with TensorFlow
Excellent knowledge of OOP, functional programming, and familiarity with large code
Experience with Sagemaker
Knowledge of distributed frameworks (PySpark, Ray, Modin for instance)
Familiarity with SQL dialects
Familiarity with AWS environment and deployment
Experience with large volume of data (100 tb) as well as with tiny ones (n=50)
Experience with microservices architecture
Master degree (PhD preferred) in Data Science, Computer Science, Statistics, Math, Physics, Astronomy, Economics or equivalent
Desired additional qualifications:
Scientific or technical publications
Experience with Random Forest and Boosting
Comfortable questioning and challenging assumptions, processes to improve outcomes
Versatile (capable of using anything from rank statistics to shape theory to topological data analysis to the most obscure time series model)
#LI-AW3
#LI-Remote
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [email protected]. Only messages left for this purpose will be returned.
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Associate Director R D Data Science Portfolio Management Jrd Ds | Johnson Johnson |
Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for an Associate Director, R&D Data Science Portfolio Management! In this role, you will partner with compound development teams to define and prioritize a portfolio of high impact use cases in alignment with the Immunology TA strategy and the overall JRD Data Science strategy. Use cases include using AI/ML and computer vision to model existing and novel endpoints, deliver digital health endpoints, generate real-world evidence, deliver Data Science methods for go/no-go decision-making, and many more! You will report to the Director, R&D Data Science Strategic Initiatives. The primary location for this position is Titusville, NJ; remote will be considered
Who We Are
Janssen develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular and Metabolic disorders, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit www.janssenpharmaceuticalsinc.com.
Responsibilities
Work closely with the broader Data Science (DS) team and Therapeutic Area (TA) to execute on critical data science initiatives to support delivery of the short and long-term Janssen R&D Data Science strategy Collaborate with TAs/functions in Janssen R&D, the DS Insights & Analytics team, and DS Data Platform teams to conceive, develop, and execute on data science use-cases build a roadmap to deliver the user cases, from test and learn to scale up deployment Champion, build and drive large strategic and sophisticated DS projects to achieve the intended strategic impact in a timely manner Perform detailed analyses, develop high quality materials, and communicate in critical executive forums to facilitate leadership decision making Develop a deep understanding of the data and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external) Other ad hoc responsibilities in support of the DS team’s objectives and overall R&D objectives, as required
Qualifications
Master’s degree or higher in a scientific subject area (e.g., biological sciences, data science, epidemiology, computer science) 4+ years of progressive business experience in the pharmaceutical R&D, clinical development or data science/RWD environment, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the RWD and data science ecosystem Experience delivering on data science projects using AI/ML, computer vision technologies, data mining and/or text mining Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Excellent communication, interpersonal, and written skills Familiarity with the data science, RWD (Real World Data), or digital health space. Knowledge of relevant healthcare datasets, such as EHR, or insurance claims
Preferred
Advanced degree (e.g., PhD, MD, or equivalent) Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for machine learning and artificial intelligence in diagnostic medical imaging Ability to travel 25%, domestic and global
Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.
Johnson & Johnson is 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, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Working with Johnson & Johnson can change everything. Including YOU. #JNJDataScience
#jrdds
Primary LocationUnited States-New Jersey-Titusville-1125 Trenton Harbourton RoadOrganizationJanssen Research & Development, LLC (6084)Job FunctionR&DRequisition ID2206021568W
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Senior Manager Data Science Digital Data Science Group | Johnson Johnson |
Johnson & Johnson is currently recruiting for a Senior Manager Data Science - Digital & Data Science Group located in listed locations. Remote work options may be considered on a case-by-case basis and if approved by the Company.
Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.
With $82.6 billion in 2020 sales, Johnson & Johnson is the world's most comprehensive and broadly- based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. There are more than 260 Johnson & Johnson operating companies employing over 135,000 people and with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
As the Senior Manager Data Science in the Supply Chain, you will work closely with all segments and functions to create an aligned digital Product and technology strategy which anchors product-led transformation and integrated digital stack for better leverage, reusability, modularity and cost effectiveness
□ Develop a deep understanding of the multi-year must-win Digital Product development, strategy following business priorities of various segments and functions (plan, source, make, deliver, and quality)
□ Design architecture and drive engineering delivery using global delivery models. Lead in test & learn and scaling new technologies with new digital product concept and technology feasibilities.
□ Ensure solutions are compliant and secured by working closely with internal risk management and audit group; Drive right level of documentation required to deploy GXP application
□ Bring ambitious ideas of product development technology to accelerate product development and adaption as well as reduce development and operation costs.
□ Lead development team to implement and enhance NLP platform and its digital products, and deliver wide adoption of a variety of use cases in JJSC and beyond
□ Demonstrate capability of leading team to create topical and industry leading digital product and its use case adaption, develop life cycle documents (SDLC) and compliance validation artifacts as well as create best practices in digital product implementation validation strategy for regulated industry that ensures production quality with cost effectiveness
□ Lead interactions with digital product end user community leaders in all segments and functions (including workshops, leadership meetings, strategy sessions and formal presentations) that help them adapt and use products to realize their priorities and benefits.
□ Work closely with product management team as well as J&J Technology Group to drive digital product development and its technical short-, mid- and long-term road maps following business priorities and demands in the J&J supply chain ecosystem
□ Become an internally and externally recognized NLP expert in supply chain digital transformation
Qualifications
□ Masters or PhD degree in Computer Science, Data Science, Statistics, Applied Mathematics, or any other related quantitative fields from an accredited college or university is required.
□ A minimum of 6+ years of industry experience in building enterprise application with data science capability is highly preferred.
□ Strong experience in leading digital product development by working collaboratively with Product management and relevant stakeholders
□ Hands-on experience of working with NLP is required
□ Proficiency with agile development and driving the full SDLC process is preferred.
□ Proficiency with programming in Python, SQL and one or more of the following: C#/C++, Java, JavaScript, Node.js etc is required.
□ Experience with docker and Kubernetes ecosystem is highly preferred.
□ Experience with ElasticSearch is highly preferred.
□ Experience with big data architecture and modern data stack: Hadoop, Spark, Scala, Hive, Databricks, RedShift, Stream Analytics, and etc. is highly preferred
□ Experience with cloud solution: Azure is preferred. AWS and GCP experience are good to have.
□ Good understanding of Statistical Modeling with Python, R, or SAS is preferred.
□ Good knowledge of deep learning with Python, PyTorch, TensorFlow, Keras, etc. is highly preferred but not required.
□ Experience with data visualization and presentation (Tableau, Qlik, Power BI, etc.) is a plus.
□ Ability to bring razor sharp focus on business value and outcome orientation
□ Experience of working in large matrix organization
□ Ability to multi-task, and ability to prioritize work and deliver the maximum business value
□ Ability to build strong networks across the business and technology group to develop partnership at all levels of the business
□ Excellent communication, interpersonal, and written skills. Highly developed negotiating and influencing skills
□ Ability to bring energy, enthusiasm and drive to create a positive working relationship with the business and the team
□ Up to 10% travel may be required.
For United States:
Remote work options may be considered on a case-by-case basis and if approved by the Company. The anticipated base pay range for this position is $112,000 to $168,500.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/ performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, long-term incentive, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. Additional information can be found through the link below.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, depending on location and subject to local legislation, candidates offered employment may be required to show proof of COVID-19 vaccination or, in certain countries, secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. If you are invited to interview for the position, your recruiter will advise on the vaccine requirement status in your geographic location.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com
Primary LocationUnited States-New Jersey-Bridgewater-430 Route 22Other LocationsEurope/Middle East/Africa-Belgium-Antwerp-Beerse, North America-United States-California-Irvine, Europe/Middle East/Africa-Ireland-Limerick, North America-United States, Europe/Middle East/Africa-Switzerland-ZugOrganizationJohnson & Johnson Services Inc. (6090)Job FunctionR&DRequisition ID2206043785W
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Data Scientist | Valvoline |
Why Valvoline?
We’ve been in the car business for more than 150 years, starting with the invention of the world’s first motor oil. Today, we’re a global leader in automotive services and lubricants, driven every day by a people-centered focus on innovation and service excellence.
As we often say, it starts with all of our people — and that’s where you come in. We’re looking for humble, hungry, and smart people to help us power the future of mobility. If you’re looking for a collaborative and flexible work environment that invests in your growth and success, you’ve come to the right place.
Careers for the Driven
Valvoline has a rewarding opportunity as a Data Scientist. We wholeheartedly adopt a ‘never idle' mindset. We also know that outstanding service begins and ends with our employees. So, we’re looking for good people to join our team. You bring your skills, talents, and drive. We will give you a great place to work, a competitive salary and benefits, and the resources and support to develop and advance within our global company.
*Valvoline World Headquarters is located in Lexington, KY, but we invite remote candidates to apply as well. Ideally, we would like candidates located in nearby markets (Cincinnati and Louisville) and willing to visit HQs frequently.
How You’ll Make an Impact
The Data Scientist is responsible for working with the business analytics team, marketing, and leadership to better understand consumer behaviors and trends impacting the Retail Services business. The incumbent will provide analytical support for retail pricing and serve as a key contact for marketing initiatives, providing analysis of returns. The Data Scientist will collect, analyze and interpret complex data using the scientific method to identify improvements for business by creating, validating, and implementing analytical solutions. Utilizes quantitative and statistical methods to extract insights from structured and unstructured data. Leverages machine learning, statistical modeling, and quantitative analysis to create smarter, data-driven products for business. In the role, you would be responsible for:
Driving continuous improvement in business processes (e.g. marketing attribution, forecasting, customer segmentation, CRM and promotional effectiveness, pricing, etc.) through analytics; developing insightful and condensed visualizations out of complicated analytics and providing actionable recommendations for various business teams.Providing expertise on test designs across VIOC, including testing and oversight of analytics tools (e.g. SAS, R, R-Shiny) used across VIOC Marketing and FP&A.Designing, building, and maintaining custom reporting by working with business unit leaders to understand the intelligence they need to make the best decisions to drive profitability.Providing ad hoc statistical and analytical work as requested.Supporting forecasting, budgeting, and long-term strategic planning efforts with data-driven predictive and cognitive analytics.Other duties and responsibilities as determined by Valvoline from time to time at its sole discretion.
What You’ll Need
Bachelor's degree in statistics or related fieldDirect experience in data and analytics organization or support function and demonstrated ability to develop reporting and analytics in Big Data environments and query building skills via BI tools or SQL programmingExperience working with divergent data types to explore and extrapolate data-driven insights using advanced modeling and testing applied to data acquired from a range of sourcesSolid expertise of strategic and implementation experience across broader Data and Analytics functions such as Master data and data governanceSkilled in Visualization BI tools such as Power BI, SAP Analytics Cloud, Tableau, Qlikview, Business Objects, etc.Ability to work independently and take initiativeMust be able to prioritize and communicate business needs effectivelyExcellent written and verbal communication skills; ability to listen and communicate effectivelyStrong organizational and planning skills in a fast-paced environment, able to meet deadlinesMust be authorized to work in the U.S.
What Will Set You Apart
Master's Degree
Benefits That Drive Themselves
Health insurance plans (medical, dental, vision)HSA and flexible spending accounts401(k) Incentive opportunity*Life insuranceShort and long-term disability insurancePaid vacation and holidays*Employee Assistance ProgramEmployee discountsTuition reimbursement*Adoption assistance*
COVID-19 Vaccine Mandate:
Valvoline is committed to protecting the health of our current and future team members and our customers. COVID-19 vaccines will be required for certain positions and situations effective January 4, 2022, including new U.S. employees joining our company. For more information, you may speak with a member of our HR team during your recruitment process.
*Terms and conditions apply, and benefits may differ depending on the position.
Females and minorities are encouraged to apply.
Valvoline 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. Are you good at what you do? Join us.
The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided, upon request, to applicants with disabilities in order to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1-800-Valvoline or email [email protected] to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
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Principal Data Scientist New Product Development | Mission Lane |
About the role:
We’re looking for an experienced data science practitioner to join our New Product Development team and build the next generation of products to help Mission Lane customers improve their financial health.
We’re looking for someone who can:
Be a hands-on technical leader excited to incubate new data-driven products and, ideally, a career trajectory towards a management role.
Put data science at the heart of our new product development.
Work independently and with support from other data scientists on our team.
Make sure we’re collecting the right data at the right time. This includes both capturing internal events, but also evaluating and integrating external data sources.
Ensure that data is properly processed and flows to the expected places in our data warehouse.
Lead hypothesis-driven exploration of Mission Lane’s most complex data to generate new insights, test hypotheses, and leverage data to consult and advise on NPD strategy and new product investments.
Conduct unguided exploration of greenfield data sources.
Build out the first generation of machine learning models for a wide variety of new product applications: credit risk, marketing, search optimization, recommendation engines, etc.
Use or create rule-based decision infrastructure for new products.
Advise business partners on test design, credit underwriting, and customer targeting.
Successful applicants will:
Be comfortable in the Python ecosystem (numpy, pandas, scikit-learn, etc.).
Have experience conducting software development and model development with relational databases including strong SQL skills.
May have familiarity with or be excited to work with tools related to MLOps like Spark, dbt, and kubernetes.
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Principal Data Scientist | Mission Lane |
Mission Lane’s Data Science Team is looking for a Principal Data Scientist to join us.
You’ll be a successful Principal Data Scientist if:
You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You’ve created, deployed, and managed supervised learning models in production systems for vital applications
You enjoy being a technical mentor. You share best practices for software engineering and can help smart, knowledgeable, data scientists with hard mathematical problems.
You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates
We are offering:
A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)
You might be particularly excited about the role if you want:
To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
To use distributed computing systems like Spark and Snowflake to manipulate data
If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
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Senior Data Scientist | Mission Lane |
Mission Lane’s Data Science Team is looking for a Senior Data Scientist to join us.
You’ll be a successful Senior Data Scientist if:
You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You’ve created, deployed, and managed supervised learning models in production systems for vital applications
You enjoy being a technical mentor. You share best practices for software engineering and can help smart, educated, people with hard mathematical problems.
You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates
We are offering:
A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)
You might be particularly excited about the role if you want:
To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
To use distributed computing systems like Spark and Snowflake to manipulate data
If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Job Location: Richmond, Virginia or Remote
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Director Data Science | Fanatics |
Company Overview
Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.
The Role:
We are seeking a Director to build out and lead our Data Science group. This role reports to our VP of Data and is responsible for insights and data science within Fanatics Betting and Gaming. The leader who fits this role will be experienced at growing data science operations and will have sports industry expertise.
Duties and responsibilities may include:
● Build out a best in class Data Science group, designed to support the organization's decision-making and develop competitive intellectual property
● Develop and communicate standards and procedures for the Data Science group
● Develop processes and forums to share insights to the company. This person embodies a “teaching” mentality and prioritizes relationships and information sharing
● Build strong relationships with internal stakeholders, including the executive leadership team, engineering, product, marketing, legal, ops and more
● Provide leadership and expertise within the data org. Be a mentor and role model
● Partner with engineering both within Data group and across other engineering domains
What skills are important to us:
● Experience with growing & leading multiple large analytical teams, and partnering with data engineering to develop strategic data assets
● Expertise in data science methods and techniques including machine learning, and technical skills including production-grade architecture and model lifecycle management
● Strong strategic thinking, written and verbal communication, and resource prioritization skills
● Emphasis on trust-building and ability to quickly make decisions that usually turn out well
● Desire to build an operation from scratch in a fast-paced environment
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: 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 collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, 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 other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Manager Data Science | Fanatics |
Company Overview
Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.
The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.
As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.
At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support. We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.
The Role:
We are seeking a Manager to hire and lead a Data Science team. This role reports to our VP of Data (for now) and is responsible for developing insights and strategic data assets in the domain of pricing, odds, and trading. The leader who fits this role will be experienced at managing data science teams, and is excited about the sports betting & gaming space.
Duties and responsibilities may include:
● Build a best-in-class data science team to focus on pricing, odds and trading
● Share insights among the data group and across the company. This person embodies a “teaching” mentality and prioritizes relationships and information sharing
● Build strong relationships with internal stakeholders, including engineering, product, marketing, legal, trading and more
● Be a skilled, experienced data scientist capable of hands-on work when needed, and coaching more junior team members
What skills are important to us:
● Experience managing at least one data science team, and collaborating with data engineering, analytics, and other disciplines
● Expertise in data science and machine learning applications and techniques
● Strong strategic thinking, written and verbal communication, and resource prioritization skills
● Emphasis on trust-building and ability to quickly make decisions that usually turn out well
● Desire to build a team from scratch in a fast-paced environment
Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: 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 collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, 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 other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
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Data Scientist Or Software Engineer Skunkworks | Streetlight Data |
StreetLight pioneered the use of Big Data analytics to help transportation professionals and data analysts measure, analyze and improve transportation. Applying proprietary machine-learning algorithms to location data from mobile phones, vehicle navigation devices and IoT, StreetLight sheds light on travel patterns and makes them available on-demand via the world’s first SaaS platform for mobility, StreetLight InSight®. From measuring traffic volumes to optimizing new infrastructure to planning for autonomous vehicles, StreetLight powers more than 10,000 projects every month. StreetLight was recently acquired by Jacobs but continues to operate as an independent software organization.
StreetLight recently launched a special team that does early-stage product and data science research and development, focusing on emerging or advanced topics. This small team reports directly to the CEO, and will help push StreetLight and transportation data and industry to the next generation of tools, use cases, and smart policy-making for transport systems.
We are looking for a creative, collaborative, and self-driven data scientist or software engineer to help power this work. This particular role will focus on developing predictive models to understand present and future transportation dynamics. The right candidate will be able to infer patterns from telemetry/movement data and combine it with additional information about land use, transportation networks, population distribution in order to develop predictive applications.
A variety of backgrounds may be suitable for this role. Perhaps you’re a transportation researcher with experience developing activity-based models. Or a software engineer who’s worked with telemetry/movement data and routing engines based on OpenStreetMap. Or a data scientist who’s skilled at working with land use, population, or graph data. Or something entirely different, with the abilities and knowledge to move us forward. If you think you may be a fit, we encourage you to apply.
Location: We are flexible on the location of this position. It could be in any one of our three main offices (San Francisco, CA, Richmond, VA, or Vancouver, BC), or remote within the US or Canada.
Responsibilities
Design algorithms to infer transportation patterns from various data sources
Research and implement suitable strategies and models for solving data science problems
Find and build real-world data sets for developing/training various models and doing quality checks
Create visualizations and/or dashboards to help tell stories with data
Define and implement customized and/or cutting-edge solutions for customers
Qualifications
BS/MS in Computer Science, Mathematics, Economics, or another field with a focus on quantitative research and discovering insights from data
3 - 5 years of experience in data science, software engineering, or statistics, with experience using tools such as R or Python
Proficiency in SQL and relational databases
Strong understanding of techniques in data science and/or transportation modeling
Specialized skills in relevant areas are a plus. This could be: machine learning, graph networks, transportation and land-use modeling techniques (e.g. four-step models, dynamic traffic assignment, agent-based models, land-use models), routing engines (e.g. OSRM, Valhalla)
Geospatial skills are a big plus (e.g. GIS, PostGIS, GDAL, OpenStreetMap)
Strong data analysis skills, good judgment and intuition around what can/cannot be possible, and ability to creatively develop potential approaches to hard problems
Good communication skills: written, visual, and verbal
Intellectual curiosity, quick learner, team player
Ability to come up with creative technical pathways to achieve a purpose, and assess which pathway is the most suitable. Ability to make appropriate compromises to enable scalability and productization of algorithms
We understand that the best candidates don’t always match everything in the job description. If you think you’re a fit for this role, please apply!
StreetLight Data is an equal opportunity/affirmative action employer. StreetLight Data 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.
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Senior Data Scientist Analytics | Gofundme |
Do you believe that people should compassionately support one another to create a better world? Well, we do!
Serving as the world’s most trusted fundraising platform, GoFundMe is committed to creating a better world by making it safe and easy for people to support causes they’re passionate about. When someone sees a need—whether it’s in their neighborhood or across the globe—they can turn their compassion into action through GoFundMe. Our customers have raised over $15 billion for their personal causes, making GoFundMe a top 200 website in the US based on traffic, with a monthly audience of over 100 million people.
GoFundMe is searching for a Sr Data Analyst Scientist on the 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 for several departments across the company with a focus on product development.
Advise on and analyze A/B test results for product optimizations
Monitor KPIs and present emerging trends and actionable insights to leadership team
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Develop dashboards and perform ad hoc analysis
Ensure data quality by testing tables, dashboards, models and analysis
Build forecasting and ROI models to project growth for various initiatives to assist with roadmap prioritization
Learn and assist data engineers with data transformations and ETL projects
You…
5+ years experience in data analysis and science using web, marketing, product and/or user behavior data
Expert SQL skills for data querying and manipulation
Experience with data analysis and statistical modeling using the R or Python ecosystems
Data visualization skills and experience with BI tools (Tableau/Looker)
Strong presentation skills, being able to author and present insights to the leadership team
Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs a plus
Wealth of experience in product and user behavior analysis a plus.
Master's degree in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas).
Why you’ll love it here...
Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
A variety of mental and wellness programs to support employees
Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
Learn more about GoFundMe...
A Year in Giving: 2021
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality
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Sr Data Scientist | 6 River Systems |
6 River Systems (6RS) is the Robotics division of Shopify (SHOP), leading the way to warehouse automation and faster fulfillment. E-commerce has changed the world and our solutions power the winning warehouses of the future. We’re disrupting the $100 billion fulfillment industry with our proprietary AI, collaborative mobile robots, and cloud-based enterprise software.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company. We are as passionate about hiring the right people as we are about building great products. 6 River Systems is ‘digital by default’, a digital-first way of thinking, working and operating. The office as we've known it has changed and the majority of our employees now work from home.
Position overview:
As a Sr. Data Scientist on the 6RS Data Insights Team, you will have the opportunity to work with the immense amount of data collected by our end-to-end 6RS warehouse automation system. We are looking for inquisitive and creative people who can use Analytics & Data Science to derive value from this data and provide insights into the behavior of the robots and find ways to increase the overall performance of our 6RS system. Our team’s mission is to help internal and external stakeholders make better data-informed decisions.Responsibilities:
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Experiment with models, simulations, and even live warehouses to help identify improvement opportunities
Build tools for analyzing system data to provide insights to other less technical teams
Choose and use the appropriate data science methods (e.g. visualizations, dashboards, A/B testing, survival analysis, regression, survey design, machine learning, etc)
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define data collection and ETL processes
Define data models, build actionable KPIs and production-quality dashboards
Requirements:
BSc degree in Computer Science / Data Science or relevant (e.g. Physics, EE, MechEng)
5+ years of work experience, not including internships
Strong knowledge of Python and software engineering fundamentals
Deep understanding of advanced SQL techniques
Extensive experience with machine learning
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, and experimentation)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Strong sense of ownership and growth mindset
Bonus points for one or more of the following:
Master’s or PhD degree in science/engineering
Strong expertise with statistical techniques
Extensive experience with machine learning
Masterful data storytelling and strategic thinking
Domain experience in e-commerce, marketing or SaaS
Location:
Our Innovation Lab is based in Waltham, MA. However, the office as we've known it has changed for everyone and the majority of our employees now work from home. So even if you are currently living outside of the greater Boston area, we encourage you to apply.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company. As a team, we encourage open discussion about particularly challenging problems. We are as passionate about hiring the right people as we are about building great products.
6 River Systems is ‘digital by default’, a digital first way of thinking, working and operating. The office as we've known it has changed for everyone and the majority of our employees now work from home.
Why 6RS? Recognized by the Boston Globe as a Top Place to Work
Entrepreneurial spirit of a start-up combined with the stability of a global commerce company
Competitive compensation packages and Shopify RSUs
Company-paid health, dental, and vision coverage for all employees
Paid holidays, vacation/sick time, and parental leave
Annual 401k contribution from the company
Lifestyle spending account
About 6 River SystemsFounded in Waltham, Massachusetts in 2015, 6 River Systems is a leading collaborative mobile robotics fulfilment solution and part of global commerce company Shopify. Founders Jerome Dubois and Rylan Hamilton were previously executives at Kiva Systems (now Amazon Robotics). The 6 River Systems solution is operating in more than 20 facilities in the U.S., Canada and Europe, fulfilling millions of units each week for companies including Lockheed Martin, CSAT Solutions, ACT Fulfillment, DHL, XPO Logistics, and Office Depot. To learn more, visit www.6river.com.
About ShopifyShopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Headquartered in Ottawa, Canada, Shopify powers over one million businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. For more information, visit www.shopify.com.
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Data Scientist | 6 River Systems |
6 River Systems (6RS) is the Robotics division of Shopify (SHOP), leading the way to warehouse automation and faster fulfillment. E-commerce has changed the world and our solutions power the winning warehouses of the future. We’re disrupting the $100 billion fulfillment industry with our proprietary AI, collaborative mobile robots, and cloud-based enterprise software.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company. We are as passionate about hiring the right people as we are about building great products. 6 River Systems is ‘digital by default’, a digital-first way of thinking, working and operating. The office as we've known it has changed and the majority of our employees now work from home.
Position overview:
As a Data Scientist on the 6RS Data Insights Team, you will have the opportunity to work with the immense amount of data collected by our end-to-end 6RS warehouse automation system. We are looking for inquisitive and creative people who can use Analytics & Data Science to derive value from this data and provide insights into the behavior of the robots and find ways to increase the overall performance of our 6RS system. Our team’s mission is to help internal and external stakeholders make better data-informed decisions.Responsibilities:
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Experiment with models, simulations, and even live warehouses to help identify improvement opportunities
Build tools for analyzing system data to provide insights to other less technical teams
Choose and use the appropriate data science methods (e.g. visualizations, dashboards, A/B testing, survival analysis, regression, survey design, machine learning, etc)
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define data collection and ETL processes
Define data models, build actionable KPIs and production-quality dashboards
Requirements:
BSc degree in Computer Science / Data Science or relevant (e.g. Physics, EE, MechEng)
2+ years of work experience, not including internships
Strong knowledge of Python and software engineering fundamentals
Extensive experience of SQL and databases
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Strong sense of ownership and growth mindset
Bonus points for one or more of the following:
Master’s or PhD degree in science/engineering
Deep understanding of advanced SQL techniques
Strong expertise with statistical techniques
Extensive experience with machine learning
Masterful data storytelling and strategic thinking
Domain experience in e-commerce, marketing or SaaS
Location:
Our Innovation Lab is based in Waltham, MA. However, the office as we've known it has changed for everyone and the majority of our employees now work from home. So even if you are currently living outside of the greater Boston area, we encourage you to apply.
Culture:
Our culture is built on trust, smarts, and collaboration. We have the Entrepreneurial spirit of a start-up, backed by the stability of being part of a global company. As a team, we encourage open discussion about particularly challenging problems. We are as passionate about hiring the right people as we are about building great products.
6 River Systems is ‘digital by default’, a digital first way of thinking, working and operating. The office as we've known it has changed for everyone and the majority of our employees now work from home.
Why 6RS? Recognized by the Boston Globe as a Top Place to Work
Entrepreneurial spirit of a start-up combined with the stability of a global commerce company
Competitive compensation packages and Shopify RSUs
Company-paid health, dental, and vision coverage for all employees
Paid holidays, vacation/sick time, and parental leave
Annual 401k contribution from the company
Lifestyle spending account
About 6 River SystemsFounded in Waltham, Massachusetts in 2015, 6 River Systems is a leading collaborative mobile robotics fulfilment solution and part of global commerce company Shopify. Founders Jerome Dubois and Rylan Hamilton were previously executives at Kiva Systems (now Amazon Robotics). The 6 River Systems solution is operating in more than 20 facilities in the U.S., Canada and Europe, fulfilling millions of units each week for companies including Lockheed Martin, CSAT Solutions, ACT Fulfillment, DHL, XPO Logistics, and Office Depot. To learn more, visit www.6river.com.
About ShopifyShopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Headquartered in Ottawa, Canada, Shopify powers over one million businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. For more information, visit www.shopify.com.
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Data Scientist | Mystery |
About Mystery
Mystery is on a mission to make people as happy as they can possibly be at work. To help us get there, we’re adding even more of the brightest minds to our team; could that be you?
Every year, companies spend billions trying to boost morale and improve retention—and with an increasingly remote workforce, that’s only getting harder. Combining highly curated, incredibly memorable team experiences with a world-class employee engagement platform, Mystery solves this problem for hundreds of the world’s top companies (Amazon, Apple, Stripe, Google, KPMG, and Uber to name a few).
We’ve just raised an $18.5M Series A from Greylock with participation from Zoom Ventures, Moving Capital, Endeavor, Gaingels, and others. This funding means we can continue to grow our team as we scale our product, all while still offering competitive pay and remote perks (more on that below).
Culture is at the heart of what we do—come join a dynamic and innovative team that’s bringing wonder to work!
This role will be one of the first Data Science hires at Mystery, reporting to the VP of Engineering. You'll play a vital role in shaping our data and analytics strategy as we work towards our mission of helping make work a happier place!
About You
Insatiably curious – your mind is brimming with questions and you find joy in learning the answers
Motivated by customer problems – you have deep empathy for your internal and external stakeholders
Master of your craft – you demonstrate pride, ownership and accountability for everything you do
Action oriented – you have a bias towards action and like to communicate complex concepts in a clear, precise, and actionable manner
Your Responsibilities
Partner closely with Product and Engineering to shape product strategy using rigorous scientific inputs
Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
Design, implement and interpret innovative data science experiments to empower data-driven decisions and products at scale
Drive the collection of new data and the refinement of existing data sources
Create analyses that tell a story focused on insights, not just data
Desired Skills and Qualifications
2+ years of industry experience in Data Science
A PhD or MS in a quantitative field (e.g., Economics, Statistics, Engineering, Natural Sciences, Operations Research)
Expert knowledge of a scientific computing language (such as R or Python) and SQL
Strong knowledge of statistics, experimentation, and causal inference
Demonstrated track record of identifying, scoping and leading complex data science projects with cross-functional partners and high business impact
Compensation and perks
Because taking care of our employees doesn’t stop at having fun together.
Work from anywhere
The new definition of a “modern workspace” is whatever you make of it. Comfort of home? Great. A different beach each week? Do it. (As long as there’s wifi…) Our WFH stipend will help you outfit your office wherever it is.
Unlimited PTO
Seriously. Everyone at Mystery is passionate about solving the problems of remote work; as long as you make your contribution to that effort, take time whenever you need to.
Comprehensive healthcare
General, vision, dental, mental. You should bring your best self to work, and sometimes that means a visit with a professional. We have you covered.
Pay, 401K, and equity
Happiness doesn’t pay the bills or help you retire, so we offer competitive compensation to take care of those parts of your life.
Parental leave
We raise the standard with 12-weeks of paid parental leave for both birth and non-birth parents.
Bi-annual offsite
Connecting as a team—as a whole team—is important to us. Twice a year we put extra effort into getting everyone “together” for fun and professional development.
Learning and development
When you grow, we grow. Mystery offers an annual stipend to keep your skills sharp and help you reach your goals.
Mystery is proud to be an equal opportunity employer. We're committed to a diverse and inclusive workplace and welcome applicants from all backgrounds and walks of life to apply. Mystery requires background checks for all positions; criminal records do not automatically disqualify a candidate for the role.
#LI-Remote
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Wayfair Data Science Machine Learning Opportunities | Wayfair |
Location(s): Austin,TX- Boston, MA- San Francisco,CA- Toronto, Canada
Team Description: Wayfair’s Data Science team builds the algorithmic systems that drive our business.
With 8 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, our projects span from enormously broad to minutely specific. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment.
There is very little at Wayfair that our Data Science team does not touch. They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large. As a Data Scientist at Wayfair, you will have the opportunity to play a critical role in a growing company while also operating with a high level of executive visibility. The team is focused on creating strategic solutions that steer customer behavior, influence key decision making and quantify our impact within the e-commerce space. Our diverse and fun employees enjoy an environment of strong ownership and quick feedback from building, experimenting, and iterating on high-impact work.
What You'll Do
Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
Develop quantitative models, leveraging machine learning and advanced data analysis techniques to create novel solutions to complex business problems
Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
Drive measurable business value collaborating with business teams to change the course of Wayfair
Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
Work with a team of friendly and motivated scientists, engineers, and product managers to build novel solutions to business problems
What You'll Need
1-4+ years of experience in a quantitative or technical work environment and an advanced degree (PhD) or Masters in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning strongly preferred
Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.
Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives
Ability to thrive in a dynamic environment with ambiguity
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
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Senior Data Scientist Marketing Worldwide | Duckduckgo |
Hi, we’re DuckDuckGo, the Internet privacy company for everyone who's had enough of hidden online tracking and wants to take back their privacy now. For over a decade, we've been building our product, including new privacy technology, and working with policymakers to make online privacy simple and accessible for all.
Our app is now downloaded more than 50M times a year, and our private search engine packaged with it has become the #2 search engine on mobile in the U.S., Canada, Australia and the Netherlands. Oh, and we've been profitable since 2014 with revenue currently exceeding $100 million a year! Now we’re rolling out major new features, such as Email Protection and App Tracking Protection, and we’re also working on a desktop browser version of our app for Windows and macOS.
We’re looking for a Marketing Data Scientist to help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.
The Opportunity
In this role You will bring a data science perspective to marketing campaigns to ensure we design tests optimally to gain statistically valid strategic insight. You will also improve, streamline, and apply our methods for analyzing data to assess the effectiveness of our marketing campaigns.
What You Will Bring to DuckDuckGo
Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem.
Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics.
Significant experience with data science with a focus on analytics.
Experience with statistical modelling and time series analysis
Experience designing experiments and interpreting results.
Experience with marketing campaigns
Comfortable working with internal funnel and usage data as well as survey-type metrics and ability to combine and synthesize takeaways across data sets.
Experience with segmentation and ability to tease out insights from large and sometimes ambiguous data sets and translate into hypothesis and media recommendations
Creative and curious, innate desire to pose questions of the data and seek novel findings that can help direct the company's strategy.
Enjoys working independently and collaboratively with agencies, media planners, media strategists, user insights and product experts etc.
How We Will Support You
Our core values -- build trust, question assumptions, and validate direction -- underpin how we work day-to-day and the support we give our team members. We strive to empower our team members to be self-directed and self-motivated in their work.
Remote First, Always: We've always been a fully distributed company with team members all over the world. We trust you to get your work done wherever, whenever.
Commitment to Personal Growth: Every team member has an annual budget of $1,250 USD to invest in their professional development. Every team member also has a dedicated Career Advisor, who serves as a guide to help you develop your strengths, identify your motivations, and understand your opportunities for growth.
Leadership: We have many different types of leaders and possible combinations of leadership roles, so you can grow your career in a way that aligns best with your personal goals. You can seek additional leadership roles by being directly responsible for projects, taking ownership of areas of the company, developing and maintaining internal processes, or pursuing advisory roles.
Work/Life Balance: Team members have the freedom and flexibility to organize their own work schedules. We want you to thrive both in and out of the office. We trust you to use good judgment and take the time off that you need to bring your best self to work.
We also offer paid parental leave, a co-working stipend, office setup reimbursement, and a wellness stipend. More support resources can be found in our, Team Member Support Guide, which explains how we make your well-being a priority.
For more information on how we collaborate worldwide, from leadership in our relatively flat organization to start-to-finish ownership, check out DuckDuckGo Culture: How We Work.
Compensation
Annual compensation: $160,000 USD and stock options.
Hiring Process
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo and envision your future role here. Find out more about how we hire.
Diversity, Equity, and Inclusion
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex (including pregnancy), 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.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to [email protected] to let us know the nature of your request.
If you think you might thrive in this environment, we would love to hear from you.
Please note that:
Sometimes we meet up! Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While these plans were halted due to the COVID-19 pandemic, we plan to recommence all company meetups in 2022.
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate will be subject to a background check and must receive satisfactory results of the same, as a condition of joining the team.
By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
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Senior Data Scientist | Built In |
We’re looking for a Senior Data Scientist to drive personalization and ML based services. In this role, you’ll work closely with Product to develop the foundation of Built In’s data science practices as part of the data engineering team. This is an exciting opportunity for someone who is eager to solve data problems of varying complexities with a focus on making our data actionable, and influencing the experience of our users.
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Senior Data Scientist Core | Coinbase |
We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data engineers are focused on enabling teams across the company to better understand and leverage data by building an accessible and intuitive data foundation.
You’ll spend part of your time collaborating closely with Coinbase product teams, including data scientists, product managers, and full stack engineers — to enable efficient data driven product development. And you’ll spend part of your time collaborating closely with data platform engineers and other data engineers to scale our capabilities, adopt new technologies and best practices, and develop your own contributions to our tech stack. We expect you to demonstrate strong ownership, desire to learn and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Develop data pipelines, datasets, and dashboards to support Coinbase product teams
Proactively improve table and pipeline architecture, optimize query performance, and leverage improvements in our tech stack
Build frameworks / scripts to perform common repeatable data patterns in generic, efficient manner
Adopt new data platform technologies as a power users and teach others to effectively leverage them
Work closely with data science to enable exploratory analysis, predictive modeling, and data driven decision making
Work closely with product engineering to design logging schemas to support new and changes to existing Coinbase products
Become a subject matter expert for your data domain and help teams across the company to access and understand your data
What we look for in you (ie. job requirements):
7+ years relevant experience
Knowledgeable about data architecture, data warehousing, and ETL design patterns
Highly proficient in SQL and Python
Experience manipulating large amounts of structured and unstructured data
Experience with pipeline orchestration tools, preferably Airflow
Experience designing and implementing efficient data pipelines and data warehouse models (schema design)
Be able to independently identify and develop data solutions in service of ever changing product requirements
Experience leading large scale projects with multiple stakeholders (product managers, data scientists, and full stack engineers)
BA / BS degree or equivalent practical experience
Positive energy and willingness to learn and elevate others around you
Nice to haves:
Experience with big data processing engines, preferably Spark
Experience with cloud based data warehousing applications, preferably Snowflake and Databricks
Experience with data visualization applications, preferably Looker, Redash, or Mode
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado, is $175,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
(G2296)
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, you will be required to be fully vaccinated from COVID-19 (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
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Hr Decision Science Analyst | Disney |
Job Summary:
Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to solve hard and interesting problems? Imagine yourself as a Decision Science Engineer in People Insights where your curiosity for discovering insights and trends will help ensure we are making data-driven decisions. In this role, you will be able to blaze new paths in this data rich environment through Machine Learning, Data Engineering and Analytics. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex models, data, and engineering solutions.
You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to actionable insights to provide decision support for workforce related issues.
Responsibilities:
Analyze, design, build and maintain machine learning models, data pipelines and automated insights.Build and work with large and complex data sets and measures to be used in analyses that drive business decisions.Proactively identify opportunities and build solutions for optimization of machine Learning and Analytical models, forecast and insights.Manage and sustain analytical infrastructure/platform, technologies and solutions working across teams such as IT, Decision Scientists and Analytics Partners.Consult within a team of analyst, translating analytical needs into repeatable solutions.Proactively identify emerging trends in ML, data engineering, processing and public/external/third-party data usage and integration.
Basic Qualifications:
Applied knowledge in ML development workflow and algorithms including choosing/developing ML algorithms, hyper parameters, tuning, understanding bias and variance, model monitoring and deploying ML models.Strong programming skills in R/Python and SQL.Experience in building solutions on the cloud using AWS or Google cloud.Proficiency in data visualization / presentation skills, including the ability to simplify ML outputs, statistical concepts into simple and actionable insights.Ability to consult with non-technical teams and convert that to technical requirements.Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a related field.
Preferred Qualifications:
Experience in any of the following: Deep-Learning, NLP, parallel and distributed programming, HR / employee data (Workday).Working knowledge with analytics software such as Dataiku.Experience with leading and developing others.Contribution to Open-Source ML/Data projects.Advanced degree (Master’s or above) in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a related field.
Required Education
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Engineering or a related field.
This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
About The Walt Disney Company (Corporate):
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Human Resources Services Co., LLC, which is part of a business we call The Walt Disney Company (Corporate).
Disney Human Resources Services Co., LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
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Hr Decision Scientist | Disney |
Job Summary:
Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues to solve hard and interesting problems? Imagine yourself as a Decision Scientist in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources (HR) and across The Walt Disney Company. In this role, you will be able to blaze new paths in this data rich environment through statistical modeling, forecasting and employee research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through advanced analysis, data visualization, and compelling storytelling.
You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to actionable insights to provide decision support for workforce related issues.
Responsibilities:
Proactively identify analytical opportunities to answer business questions and drive action through clear actionable insights and storytelling.Create accurate, sustainable statistical algorithms and machine learning processes that support HR business processes, tools, or products.Conduct in-depth analysis to identify drivers of employee behaviors, forecast aggregated employee movements and actions, forecast and analyze cost of labor, programs, and return on investments.Build and work with large and complex data sets and measures to be used in analyses that drive business decisions.Consult within clients and a team of analyst, translating business objectives and analytical needs into repeatable analytical solutions.
Basic Qualifications:
Demonstrated proficiency with database/statistical languages such as R, Python, and SQL analytics or software such as Dataiku.Strong knowledge of statistical methods, forecasting, and model building (e.g. Cluster Analysis, PCA, Regression, Decision Trees/Random Forests, Structural Equation Modeling).Proven experience working in survey data (Item analysis, Scale Reliability, Key Drivers) but an appetite to combine with other data to take those analyses/insights to the next level (e.g. creating personas).Experience with financial analysis including Return on Investment, Return on Expectations, Break-even Analysis, Program Evaluation, and forecasting of labor spend.Exceptional storytelling / presentation-building skills, including the ability to translate complex statistical concepts into simple and actionable insights.Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics or a related field.
Preferred Qualifications:
Experience with leading and developing others.Experience with HR / employee data (Workday), visualization tools, such as Tableau and/or Cognos, or large database environments (e.g. Snowflake, RedShift).Proven experience leveraging NLP/ML to understand social media trends/sentiment.Advanced degree (Master’s or above) in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics, or a related field.
Required Education
Bachelor’s degree in Organizational Psychology, Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics or a related field.
This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
About The Walt Disney Company (Corporate):
At Disney Corporate you can see how the businesses behind the Company’s powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you’ll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Human Resources Services Co., LLC, which is part of a business we call The Walt Disney Company (Corporate).
Disney Human Resources Services Co., LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
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Senior Data Science Manager Sustainability | Indigo |
We’re an international agtech startup pioneering an ambitious mission in a budding industry where agriculture meets technology. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo is partnering across the supply chain, ultimately cultivating a scalable climate solution and enhanced ecosystem that beneficially serves farmers, consumers, and the planet alike.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer. Indigo is extraordinary, and we owe that to the individuals who make up our community and enable success through diversity of thought, experience, background, perspective, race, sexuality, gender, age, and everything else that makes a person uniquely themselves. Connected by a common vision and empowered by diversity, we aren’t ordinary, and neither are you. Embrace your extraordinary and join Indigo in cultivating a healthier planet fueled by unique game changers.
The sustainability data science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including:
Operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy
Partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon sequestration field experiments and sensor technologies
Strategic decision support with forecasting and scenario planning
Partner with the product team on tools, processes, and data products to enhance the grower’s Carbon program experience.
The role:
We are looking for a senior manager to lead a cross-disciplinary team of data scientists, analysts, and software engineers to own the end-to-end flow of ground truth measurements for both (1 Indigo's current Carbon program and (2 future opportunities related to sustainability. The approach could include reviews of the scientific literature, analysis of soil and agronomic datasets, and use of simulation, modeling, and machine learning.
As such, the role involves an operational component generating sampling plans, sending agents to the field to collect soil samples, and lab sample reconciliation—ideally improving the processes and tools to both improve efficiency, scale, and reliability with reduced cost—as well as insight generation and integrating systems into our core technology platform. It also involves a more strategic and R&D component, partnering with our science team to examine the latest literature, open and proprietary data, evaluate partner field experiments, and make recommendations about our program and offering.
Quantifying soil organic carbon sequestration effect sizes and uncertainty are at the heart of our program. This involves developing sound methodological approaches. To thrive in the role, you will be comfortable with experimental design, statistics, and the vagaries and realities of real world, messy, experimental data. You do not need an agronomic background (but it would be a bonus) but you must be comfortable diving into a new domain and understanding the latest bleeding edge technologies, literature, and approaches. Indigo has a highly collaborative culture, thus you will thrive partnering with other squads, engineers, influencing the higher level roadmap and cat herding. Finally, you embody the player-coach approach, and willingly roll up your sleeves to act as an individual contributor (mostly in Python) alongside your team and other collaborators.
We are looking for someone who is excited by the challenge of turning complex data from the physical world into insights that drive decisions and inform the future of Indigo’s Carbon program, an expanded Sustainability offering, as well as growing, nurturing, and managing a team of like-minded data scientists, analysts, and software engineers.
Responsibilities
Partner with our science team to review literature, and design, analyze, and draw insights from field experiments and make program recommendations for Carbon sequestration programs as well as other aspects of sustainability.
Collaborate with product managers and engineers to productionize soil data-related systems including sampling algorithms and plans, QA/QC, lab data reconciliation, and other aspects of the Carbon program operational data flow and processes.
Manage a team of data scientists, analysts, and software engineers. Provide tactical and strategic leadership, nurture their personal development and career.
Contribute to the culture, standards, processes, and knowledge sharing and learning within the broader Carbon data science team, as well as with our partners that span remote sensing, product, engineering, science, policy, and leadership.
Own the roadmap: be a strategic thinker that can span the big picture, paint a compelling vision of the future, influence leadership to obtain the necessary resources and prioritization but dip down to backlogs, tickets, and story points to make progress.
Competencies:
Managed a team of data scientists, statisticians, or analysts for at least 2 years in an industrial setting. Bonus points for startup experience.
Enjoy collaborating across multiple disciplines, including product, science, and engineering.
Strong communication skills, ability to listen, story tell, and influence partners, especially in a remote first environment.
A strong statistical background, especially in sampling, bias, experimental design, and uncertainty. Simulation, Bayesian approaches, and MCMC experience could be useful.
Extremely comfortable working with data, databases, SQL, APIs, data munging, and other data preparation and cleaning tasks.
Experience with the agile process and methodology, developing a robust backlog, and designing and getting buy in to the roadmaps.
A hands on player coach mindset, keen to code and dig into data, review PRs, and drive process, standards, and best practices to get high quality and impactful tools, models, and data products into production.
A growth mindset: own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Interest in and experience with one or more of agriculture, environmental science, agronomy, climatology and/or geospatial data in some form is a big plus.
Minimum Qualifications:
Track record of delivering actionable insights, and impactful productionized models and data products
Fluency in Python and SQL
Experience initiating and driving projects to completion with minimal guidance
Demonstrated experience in hiring, retaining, and scaling high-performing teams
Preferred Qualification:
Ph.D or Masters or a Graduate Degree in Computer Science, Math, Statistics, Physics, Engineering, or related quantitative field
Experience in a startup environment
Benefits:
Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
401(k) plan
Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.
#LI-RO1
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Associate Data Scientist Provider | Olive |
Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.The Provider team is building data-driven products for healthcare practitioners to help them improve patient care and reduce costs. The Provider data science team uses machine learning models, natural language processing (NLP), and patient medical histories to group similar patients together and better understand common medical care journeys.Responsibilities Perform exploratory data analysis Collaborate with data engineers to test changes to existing data processes and report findings Assist in feature engineering Assist in data quality assessment Utilize and optimize existing NLP models and assess quality of their output Understand and maintain data pipelines from raw sources to feature stores for models Ability to communicate within the team on project status / blockers to get help when needed and render aid when able Ability to adhere to security and data protection policies High quality documentation of work Ability to collaborate with colleagues, management, and clients to solve complex problems Ability to maintain focus and a positive outlook in a fast-paced and changing environment where team success is not judged on delivering the “perfect” model, but on continuous model improvement Bachelor’s degree in computer science, math, or a STEM discipline Experience with SQL Experience using Python for data science and machine learning Experience with source control for code (Git preferred) Preferred skills 1-2 years post-graduate training or similar post-grad work experience in data science or data engineering Familiarity with healthcare data Experience with cloud-based compute (AWS and/or Spark preferred) Understanding of natural language processing (NLP) concepts and/or a history of using NLP python packages (NLTK, HuggingFace, spaCy, SparkNLP, etc) Experience writing regular expressions (regex) Experience with Agile development, continuous integration, testing, deployment & release methodologies Familiarity with HIPAA and the importance of privacy of patient data At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own. Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents Monthly Grid stipend to cover work related expenses Unlimited PTO Telemedicine EAP/Mental health resources Getaways by Marriott Bonvoy Family-building and fertility support via Kindbody 12 weeks of parental leave 401(K) match Wellness program Stock Options
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Decision Science Analyst Senior | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst Senior for our San Antonio, TX, or Phoenix, AZ facility. 100% Remote work environment also available.
USAA values a culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home when needed to achieve focused results. The actual days' onsite are resolved between each employee and the employee’s manager.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. This role works in an area of high visibility and requires excellent collaboration skills and attention to detail.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 13 million members who rely on us every day.
We're proud of USAA's strong history -- and we're even more passionate about our future. That's why we have a team of supportive and collaborative hardworking technology professionals focused on doing more for our members. And why we're continuing to add innovative problem solvers to our team. With us, you'll find exciting challenges that inspire you to continue learning and growing.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
Minimum requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred experience:
Strong SQL experience.Fundamental governance and risk knowledge relevant to banking, insurance, or investments (FFIEC, OCC, etc.)Ability to generate forecasts and apply advanced analytics to business problems.Time Series Analysis to illustrate key business metrics, e.g., Employee Scorecard.Strong soft skills and demonstrable experience bridging the gap between analytic means and the ends non-technical stakeholders required
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $97,200.00 - $175,000.00*
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.
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Senior Data Scientist | Angi |
The Team and Role
Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to use state-of-the-art machine learning techniques and open-source big data processing tools.
As a Senior Data Scientist, you will be responsible for:
Creating mathematical and data driven solutions for difficult problems at scale
Developing, maintaining, and monitoring the performance of production quality code
Becoming the domain expert for one business segment in the Angi organization
Communicating project results and insights with stakeholders across Angi
Team members in this role are successful when they have a Master’s degree or PhD in Statistics, Applied Mathematics or similar quantitative field and/or 3+ years of experience in:
Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning
Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver transformation through data
Developing predictive models and analysis using R and/or Python
Interacting with data using SQL
Deep knowledge of machine learning and data mining algorithms
Bonus points if you’ve worked with ML frameworks like Tensorflow and have familiarity with Git, Docker or AWS
Compensation & Benefits:
The salary band for this position ranges commensurate with experience and performance. Compensation may vary based on factors such as cost of living
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs
Flexible vacation policy; work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
#LI-Remote
#BI-Remote
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Sr Data Scientist | Vimeo |
Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video lovers around the globe. The Business Intelligence (BI) team is dedicated to create efficient cross-functional processes and enable data-driven decisions across product, sales, finance, marketing, support and customer success. Vimeo is seeking an experienced Leader for our Client Strategy & Insights team. You will partner closely with our Enterprise clients and Account Management team to develop and manage client-specific reporting and insights. In this role, you will be responsible for understanding our client’s unique data needs and interpreting those in the context of our internal reporting systems and databases. This role is ideal for a data expert and self starter with experience in the disparate worlds of both working with clients and analyzing data.
What you’ll do:
Become a Vimeo data expert, working directly with clients or account managers to manage their reporting needs
Build and maintain reports and dashboards using SQL and our BI tools, specifically Looker, to be delivered to clients, providing more depth and transparency
Create and build Dashboards and Model to help expose key business trends
Partner with key business stakeholders to forecast input metrics across the business that ultimately drive booking.
Work with the Product, Engineering, and BI teams to ensure integrity and consistency in our data offering
Skills and knowledge you should possess:
7+ years experience understanding, packaging, and communicating data for clients in a clear and concise manner
Proficiency in general database knowledge and tools, with specific background in SQL
Experience working with developer tools including third party APIs
Accustomed to driving results in a collaborative, fast-paced environment
Attention to detail and organization, with the ability to prioritize effectively and toggle between long-term goals and short-term tasks
Experience working with clients, and working with analytics and engineering teams
Bonus points (nice skills to have, but not needed):
Experiencing writing code to integrate third party APIs into our analytics products, specifically Looker
Python skills would be lovely
Experience with SaaS business metrics, video technology, specifically in OTT or live streaming, is a massive plus
Nice to have: Working knowledge of Redshift and Snowflake data warehouses
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Sr Data Scientist Product | Betterup |
Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.We’re looking for an experienced Data Scientist who cares deeply about their craft, and who wants to use their skills to bring about positive change in the world while working in a high-performing organization. At BetterUp, the opportunities to apply ML for Social Good are ever-expanding, ranging from developing personalization systems that meet someone where they're at and help them reach their full potential to understanding multimodal human-to-human communication and what makes effective coaching through state-of-the-art natural language processing, computer vision, and audio signal processing.We're looking for someone who is comfortable in the rapidly changing nature of a startup environment but also adept at moving relentlessly forward: doing what needs to be done to unblock projects that truly deliver value to our users. At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passions for empathy, excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission.
Responsibilities:
Data product engineer: Build and deploy machine learning models into production designed for operational excellence and rapid iteration/optimization.
Data storyteller: Effectively deliver analysis, insights, and recommendations to answer cross-functional business questions with clearly communicated artifacts using statistical analysis, ad-hoc reporting, etc.
Applied behavioral scientist: Advance the understanding of behavior change and interventions by measuring quantitative and qualitative signals across a breadth of psychographic signals.
Act as an owner: It’s not done until it’s in production. Adept at moving projects forward and able to unblock projects regardless of the role on the project.
Do less, deliver more: Familiar with the terms YAGNI and yak shaving? Focus your efforts on high impact initiatives that really move the needle.
Impress yourself: We hold ourselves to quality above and beyond something that “just gets it done”. Each line of code is an opportunity to blend craftsmanship with playfulness.
Collaborate without ego: Willing to take on roles small or large in order to further the mission at hand.
Stay on your edge: Continuously learning and applying emerging technologies. Pushing yourself and your team to new heights.
Practice imagination: Hypothesize meaningful questions and dive into data to uncover insights.
If you have some or all of the following please apply:
Bachelors Degree or Masters Degree in Computer Science or related Engineering field preferred
5+ years of relevant industry experience, at least part of which in a startup environment
Succeeded in a remote work environment
Expertise with computation, data analysis, and machine learning libraries in Python like Pytorch, Tensorflow, NumPy, scikit-learn, etc.
Experience with state-of-the-art machine learning architectures and models spanning Natural Language Processing (NLP), Deep learning, graph neural networks, etc.
Experience with Transformer-based models for language and vision
Effective analytical presentation skills using living Jupyter notebooks and static presentation formats
Solid understanding of feature selection and hyperparameter tuning, prototyping and evaluating models, and optimizing classifiers for production
You’re a data wrangler: processing, cleansing, enriching, augmenting, and verifying the integrity of data used for analysis
Familiarity with continuous learning, active learning, weak supervision, self-supervision, one/few-shot learning, transfer learning, etc, a plus
Experience with multimodal systems, RecSys, and personalization is also a plus
Strong verbal and written communication
Impressive portfolio (patents, publications, Kaggle profile, Github, Open Source contributions, etc.)
Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Full coverage for medical, dental and vision insurance
Employer Paid Life, AD&D, STD and LTD insurance
Flexible paid time off
Per year:
13 paid holidays
4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote
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Sr Data Scientist | Betterup |
Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. Come build the future of data at BetterUp! We are looking for an experienced Sr. Data Scientist to join our team. At BetterUp we believe that data is critical to our success. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.
What you’ll do:
Be an embedded analyst on our Direct to Consumer squad and help them drive product growth through a deeper understanding of our members
Conduct data deep dives to continue to learn new truths about the member experience. Present your findings to the squad with key recommendations on the next steps that will help drive future product strategy
Partner closely with Product Managers to understand their needs and goals and ensure to cascade critical information they need to know about what is possible with our data
Partner closely with data engineering to design new data models that serve to provide data on each critical part of the experience
Help drive A/B testing strategy including design, analysis and iteration
Create statistical models to better understand the drivers behind members’ usage and personal growth
Translate complex results to non-technical audiences and help use data to inform the product strategy
Build strong relationships with other analysts to ensure we leverage each other's learnings and research
Reports to the Director of Product Analytics
If you have some or all of the following, please apply:
5-7+ years of experience programming with SQL, LookML, and Python / R
Previous experience with Looker and Amplitude, or similar tools
3+ years of experience analyzing consumer / subscription data for a D2C company
Previous experience designing and analyzing A|B tests
The ability to translate complex results into strategic recommendations (both written and verbal)
A self starter that can jump right in and quickly add value
A natural ability to think like an owner
A problem solver that thrives on solving new and complex problems
Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental and vision insurance
Flexible paid time off
Per year:
All federal/statutory holidays observed
4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote
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Applied Research Scientist | Descript |
Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In October 2020, we took a huge leap forward by launching a cloud based collaborative video editor and a screen recorder. We have built and shipped some key technologies like voice cloning, one-click speech enhancement, etc. to help us realize our vision. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $50M from some of the world's best investors like Andreessen Horowitz, Redpoint Ventures and Spark Capital.
We need great people to help us build these cutting-edge technologies and guide its development. In particular, we’re always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.
Some of our research publications:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP
Responsibilities
Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
Contribute to designing the research roadmap of the company
Train and mentor other members of the team.
Own the research function of specific product features.
Challenges
As a core member of our research team, you'll play an integral role in challenges such as:
Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
Creating realistic voice doubles using only a few minutes of audio.
Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
Coming up with new research directions to improve our product
Requirements
Proven experience in designing and implementing deep learning algorithms.
PhD or Master’s degree specialized in Deep Learning or equivalent experience.
Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
Good programming skills and experience with deep learning frameworks.
Ability to generate more ideas than you can implement.
Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
You wish you had more GPUs to run all the experiments that you wanted!
You know Pytorch/Tensorflow inside-out
We do not require domain-specific knowledge in computer vision or speech-processing
At least one of the following must be true for the applicant to be considered:
Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
Played a key role in shipping a feature in production which uses deep learning as a key component.
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Senior Product Data Scientist | Rec Room |
Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Product Data Scientist at Rec Room, you will be responsible for a large strategic area and will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform broader team strategy and impact their short and long-term roadmap. You'll be equal parts leader, investigator, and storyteller, shaping experiences towards delighting players and building a sustainable business.
As we scale, Product Data Scientists will embed within individual teams, and as the Senior Product Data Scientist, you would be expected to drive product thinking at the broader team level and guide other data scientists as needed. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:
Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Define top-level business and team KPIs, establish learning agendas, measurement plans, and success metrics in close coordination with the product team.
Work with teams to build a culture of goal setting and accountability.
Drive changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.
WE ARE LOOKING FOR INDIVIDUALS WITH:
5+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
A Bachelor’s or Masters in Math, CS, or related field
Significant expertise in experimentation methodologies
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights
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.
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Product Data Scientist | Rec Room |
Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Product Data Scientist at Rec Room, you will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform the kinds of features and products we build. You'll be equal parts investigator and storyteller, shaping experiences towards delighting players and building a sustainable business.
As we scale, our Product Data Scientists will embed within individual teams, allowing you to develop deep context and empower you to provide strategic value. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:
Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Develop and validate hypotheses to further our understanding of user needs.
Propose changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.
WE ARE LOOKING FOR INDIVIDUALS WITH:
A Bachelor’s or Masters in Math, CS, or related field
3+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights
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.
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Director Data Science Global Non Price Predictive Modeling Western European Market | Liberty Mutual |
GRM Actuarial – Global Non-Price Predictive Modeling (NPPM) is searching for a highly motivated Director II, Data Science who is eager to make an impact on the very complex and evolving global insurance industry. As the manager of the Western European Market (WEM) NPPM team, you will provide analytical direction for a team of data scientists across Spain, Portugal and Ireland. You and your team will develop, integrate and champion the use of predictive models and analytical tools to enable data-driven decision making and help Western European Market achieve their profitability and growth goals. This role requires broad knowledge of predictive modeling techniques, and advanced application of those techniques to a variety of business issues. This is a highly visible role that will connect often with WEM leadership, senior management and other groups across Liberty Mutual. You will provide analytical assessments of business issues and recommendations to management and a mixture of technical and non-technical audiences so good communication skills are essential.
Responsibilities:
Inspire, manage, coach and develop a team of up to nine data scientists located in Spain, Portugal and Ireland.
Collaborate with business partners in WEM to develop and adapt statistical approaches, models and tools to meet market conditions, drive strategic decision making, and address problems facing the operations.
Understand the competitive marketplace, business issues, and data challenges in WEM to deliver actionable insights, recommendations and improve business processes.
Supervise, develop, implement and monitor a variety of modeling solutions to complex problems that drive change across WEM.
Present findings, share insights, and make recommendations to WEM Leadership that impact profitability, growth and/or customer satisfaction.
Effectively communicate results, insights and recommendations in written, oral and presentation formats to technical and non-technical audiences.
Live our Values, create a culture of innovation and collaboration, and proactively seek out all forms of diversity.
Regularly engage with LM data science community and cross-functional working groups.
Expected global travel: 10-20%
Job Specifications:
Reference: 2022-48105
Category: Analytics
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$172,900.00-–-$227,500.00-/-Year
Education Level:
Travel: 25%
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Staff Data Scientist | Shift |
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy. You will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Staff Data Scientist (full stack) to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning.
What You Will Do:
Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.
What You Will Bring:
Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis.
Expert in Statistical Studies.
Preferred Skills and Experience:
Databrick experience.
Redshift experience.
Experience with monitoring, instrumentation tech, and vendor know-how (Segment, New Relic, Datadog, Pingdom and/or PagerDuty).
Product Analytics experience with Google Analytics and/or Amplitude.
About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible. We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.
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Senior Data Scientist | Shift |
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy. You will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning.
What You Will Do:
Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.
What You Will Bring:
Passion for data, technology and people.
PhD or Master's Degree in Computer Science, Mathematics, Neuroscience, Computational Biology, or Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis.
Expert in Statistical Studies.
Preferred Skills and Experience:
Databrick experience.
Redshift experience.
Experience with monitoring, instrumentation tech, and vendor know-how (Segment, New Relic, Datadog, Pingdom and/or PagerDuty).
Experience with Product Analytics like Google Analytics and/or Amplitude.
About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible. We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.
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Director Of Data Science Telematics | Root |
The position.
We believe a large part of building an effective insurance company can be solved with a principled quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root is hiring for a Director of Data Science to lead and develop a team of data scientists and data analysts focused on telematics and customer experience. Leading this team, you will manage research to expand Root’s telematics data and UBI models. Further, you will interface with our pricing and underwriting functions to create more effective integrations. You will opportunistically seek ways to use Root’s prevalent telematics connectivity in service of a satisfying policyholder experience, e.g., expeditious claims handling, test drive UX, etc.
The ideal candidate will have the ability to identify & measure new opportunities through rigorous analysis, build frameworks & processes to ensure high quality & valuable data science work products, work with cross-functional stakeholders to gain alignment & ensure a path to deployment, and support the growth & development of their team. You’ll also be willing to roll up your sleeves and work alongside the team to build and test proposed solutions.
What you’ll achieve.
Lead and develop a team of data scientists
Provide technical and thought leadership related to telematics and UX
Identify and prioritize high-ROI work and ensuring a practical path to deployment
Apply data storytelling, statistical modeling, and machine learning to solve problems in pricing, underwriting, claims, and customer experience
Influence culture and conventions across the data science organization
Work cross-functionally with Data Science, Product, and Business Development to determine long-term, strategic investments needed for future company success
What we’re looking for.
Experience with telematics as an individual contributor and as a team leader
5+ years experience working in data science with demonstrable experience in predictive modeling, exploratory data analysis, probabilistic modeling, and productionizing solutions
2+ years experience managing a multi-contributor team
3+ years experience working in insurance with a keen awareness of insurance fundamentals
Strong communication and relationship building skills
A deep foundational understanding of statistical modeling and machine learning
Strong programming skills with experience using modern packages in Python
Some economics background is strongly preferred
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Data Scientist I Pricing R D | Root |
The position.We believe a large part of building an effective insurance company can be solved with a systematic, quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. We're looking for a Data Scientist to help build and evaluate our pricing models to enhance our risk segmentation. Working alongside a combination of actuaries and data scientists, you'll leverage modern statistical techniques to build on our pricing capabilities and more accurately segment our customers. You'll also establish KPIs to explain model performance, communicating findings and trends to key stakeholders across the business.Root is a “work where it works best” company. Meaning we will support you in working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus and offices in other locations to give more flexibility and more choice about how we live and work.What you'll achieve.
Build and evaluate pricing models and risk segmentation plans
Enhance evaluation pipelines to translate model results into KPIs
Leverage internal and external data sources to engineer novel features to enhance risk segmentation
Build data processing pipelines to quickly iterate on research ideas and put them into production
Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions
What we're looking for.
Advanced degree in a quantitative discipline and/or 3+ years of applying advanced quantitative techniques to problems in industry, actuarial pricing experience preferred
Strong demonstrable knowledge of topics such as inferential statistics, machine learning, and numerical optimization
Exceptional communicator and storyteller
Strong programming skills with experience using modern packages in R and Python
Demonstrated experience building, validating, and applying statistical machine learning methods to real-world problems
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Data Scientist | Dropbox |
Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
At Dropbox, we aim to put the customer at the center of everything we do. With over 500 million users, the Customer Experience (CX) team is at the forefront of simplifying how our users and customers interact with Dropbox. We focus on solutions that work for our customers as well as implementing technologies that will simplify our customers’ journey. We bring the customer voice across the organization to ensure Dropbox delivers the best possible customer experience.
Role Description
As a Data Scientist on the Customer Experience (CX) team, you will provide strategic leadership on crafting data-driven solutions that improve the customer experience. You will analyze our vast survey, support ticket, and product usage data sets to identify areas of opportunity and effectively communicate your findings to leadership. You will partner with stakeholders to understand their evolving requirements, collaborate with other analysts and engineers on the team, and craft innovative solutions that are more personalized, more efficient, and more delightful to our customers.
You have a passion for customer advocacy and making a big impact. You have a strong understanding of, and real-world experience in, the fields of statistics and NLP. You're a self-starter with an affinity for problem-solving and deep knowledge of data and advanced statistical tools. You have a curious and analytical mindset and are always eager to learn new things.
Responsibilities
Use machine learning and other advanced statistical methodologies to extract actionable insights from large multi-dimensional customer behavior data sets.Translate complex concepts to a non-technical audience via excellent communication skills, both verbal and written, with the use of compelling data visualizations.Gather and share best practices and insights internally. Promote a data-driven culture at Dropbox.Utilize natural language processing (NLP) tools to identify trends and patterns from unstructured text data.Proactively engage with stakeholders across Customer Experience (CX) to ensure relevant and accurate delivery of business requirements.Leverage your knowledge of statistics and programming to transform the way CX provides support.
Requirements
BS in the field of Statistics, Mathematics, Computer Science, or other technical discipline. Master’s degree a plus.5 years of relevant work experience (e.g., as a data scientist) or equivalentProficiency in querying relational databases. Experience with Hive or Snowflake a plus.Proficient in statistical programming languages (e.g. Python and/or R).Solid hands-on experience working with unstructured text data and many different NLP tools.Practical experience with using and understanding algorithms for classification, regression, dimensionality reduction, and clustering.Highly detailed-oriented and exceptional organizational and follow-through skills a must.Excellent at planning and project management.Ability to quickly prototype ideas and use creative approaches for solving complex problems.Strong desire to take initiative, thrives on change, and is comfortable with ambiguity.Independent learner with a keen interest in continuous learning.
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage
401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)
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Data Scientist Platform Engineering | Stack Overflow |
Applied Data Scientist, Platform Engineering
Remote - North America, South America, Europe
(United States, Canada, Mexico, Chile, Argentina, Brazil, UK, Ireland, Germany, Sweden, Norway, Poland, Spain, Austria, Slovenia, Czech Republic, Portugal, Netherlands, Switzerland)
We are targeting GMT +1 to GMT -8 in the countries identified with core overlapping hours of 10am-1pm Eastern Standard
At Stack Overflow, our mission is to empower the world’s developers. Whether we’re helping developers get answers to their questions or work more efficiently with their team we build products that make millions of developers’ lives better every day. As the world continues to transform with technology as a leading force, we’re driven to make Stack Overflow a place where everyone who codes feels welcome to learn, share their knowledge, and build their careers.
The Data Platform team at Stack Overflow builds and maintains the data processing and analytic pipelines that democratize access to data across our organization. Your cross-functional team will optimize flow and collection of all of our product and business data, enabling data at scale for Stack Overflow. You’ll ensure that our data delivery architecture is optimized and consistent, enabling software engineers, database architects, data analysts, and data scientists to do their best work.
Applied Data Scientists have several key responsibilities:
Create and maintain optimal data pipeline architecture to extract, transform, and load data from a wide variety of data sources using SQL and Azure “big data” technologies
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Keep our data separated and secure across national boundaries through multiple data centers and Azure regions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Skills and Requirements
5+ years experience building and optimizing Machine Learning Model Pipelines in the Public Cloud
5+ years working with Python and DataBricks
5+ years working with Natural Language Processing, Machine Learning, TensorFlow / Keras / PyTorch
Strong analytic skills related to working with unstructured data sets
5+ years experience building processes supporting data transformation, data structures, metadata, dependencies, and workload management
A track record of leading and mentoring less experienced developers. You are eager to teach others and invested in the growth of your team.
Self-motivating, self-directing, and a great communicator (written and oral). You thrive in an environment that grants you a lot of autonomy to explore creative solutions.
Excellent problem solving skills. You excel at analyzing and solving problems using technology.
Working within GMT-7:00 (US) to GMT+2:00 (Europe) time zones.
We would like to see (but not required):
Experience with Microsoft technologies and Azure cloud services for building and operating data pipelines
Experience working remotely and/or working with teams that are distributed geographically.
An active Stack Overflow profile, open source code, example projects that you're proud of (whether open source or worked on at a previous job), or any other evidence of your passion for building great software.
Knowledge of how Stack Overflow works from our blog, podcasts, and other public artifacts.
Ideas about how to evolve the platform and increase our impact on the developer community are even better.
Experience with leveraging cloud-native technologies and techniques to build product ecosystems
What you’ll get in return:
Competitive Base Salary between $128K and $173K USD
20 days paid vacation
Generous parental leave (16 weeks at 100% pay), family care leave, and paid sick days
Stock options
Completely free health insurance (no copay, no premiums)
401K match
Gym membership reimbursement
Employees will never be poked with a sharp stick
If your role is not located in one of our offices…. We’ll reimburse you up to $2,000 to set up a great home office.
If you want to work in our office… You’ll be in our headquarters in New York City, and enjoy additional benefits like free lunches, transportation reimbursement, and all the espresso you can drink.
Work Environment:
We’re a remote-friendly team. Whether you work remotely or work out of our New York office (re-opening voluntarily Fall 2021), you’ll be part of a remote work culture that emphasizes online communication (Slack, GitHub, Hangouts, Zoom, Stack Overflow for Teams).
Employment is conditioned upon successfully completing a background check and having the appropriate legal right to work.
Diverse teams build better products.
Legally, we need you to know this:
Stack Exchange, Inc. does not discriminate in employment matters on the basis of race, color, religion, gender, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. We support workplace diversity.
But we want to add this:
We strongly believe that diversity of experience contributes to a broader collective perspective that will consistently lead to a better company and better products. We are working hard to increase the diversity of our team wherever we can and we actively encourage everyone to consider becoming a part of it.
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Data Science Intern | Leaf Group |
Leaf Group is a house of brands, creating and cultivating digital-first companies in growing lifestyle categories: Fitness & Wellness (Well+Good, Livestrong.com); Home & Decor (Hunker, Society6, Deny Designs), and Art & Design (Saatchi Art, The Other Art Fair). Additionally, we have performance focused brands in key categories such as Travel, Pets, and DIY (OnlyInYourState, Cuteness, eHow). Our media and marketplace brands are authentic and authoritative, reaching a large and growing passionate audience.
We work in a fun, collaborative environment that is diverse, adventurous, and open-minded. We look for proactive, accountable people focused on continuous learning and growth to push themselves and our businesses forward. Check us outhere.
Leaf Group is looking for Data Science Intern(s) to help us with Natural Language Programming and Data Analysis. We will provide you pragmatic practice of your programming skills.
Many of our prior interns graduate to full-time positions on our team and our alumni currently work at Netflix, Stripe, Google, and Amazon. We celebrate their success and we pride ourselves on supporting great careers.
We expect you to have a good understanding of natural language programming (NLP), and we will show you how to apply your skillset at scale -- hint, automation is the key.
Please tell us and show us when you submit your application. Tell us about why you enjoy coding and share a link to your code repository.
Important: Only apply if you are US Based.
You’ll Report To: SVP Engineering, Innovation & Growth
A typical day as a Data Science Intern might include:
Generating 101 inspirational quotes.
Finding the most visited waterfalls in the United States.
Predicting the most visited content in the next Month.
What You Have:
A good Python language understanding.
The ability to work with and query databases.
Excellent verbal and written communication.
Not afraid to wear multiple hats - no job being too small or too large.
We're casual and informal but we work hard and work responsibly. Personal accountability goes a long way. We believe we are the change.
You’ll be successful if you enjoy making creative projects.
About us:
Leaf Group is among the 2022 & 2019 Built In LA Best Places To Work
Among Comparably's 2021 Best Companies for Company Culture, Company Perks & Benefits, Company Compensation, Best CEO for Diversity, and Best CEO for Women
eHow is the 2019 & 2020 People's Choice and official Webby Winner for Social Video/How To-DIY
OnlyInYourState is ranked the #3 Travel and Information Site (ComScore)
Well+Good is the 2019 People's Choice winner of the Webby’s Award for Best Lifestyle Brand
Leaf Group is among TalentDesk’s 2019 Best Companies To Work For
Well+Good is the 2018 winner of Fast Company’s Most Innovative Company AwardMyPlate is the 2018 winner of the Webby Award for Best Design
Winner of the 2017 Best Company for Diversity award Comparably
We are a wholly owned subsidiary of Graham Holdings Company (NYSE: GHC), a storied diversified holding company
For full-time permanent roles:
Competitive compensation and benefits packages (i.e., Medical, Dental, Vision, FSA, 401K)
Gender neutral family leave
Paid-to-play vacation rewards
Discretionary unlimited vacation time
Employee discounts for Saatchi Art, Society6, and Deny Designs
Process:
Step 1: A video/phone call with a member from our Hiring Team. In this call, we will cover the basics of the role and our company, and discuss a high level overview of your past experiences, goals, and interest in this role.
Step 2: A call with your potential manager or someone from the hiring team to dive deeper into your experiences and goals.
Step 3: If applicable, short assessment to help us see your skill sets as they relate to the role we have. We will review this in Step 1.
Step 4: Depending on the role, interviews with key stakeholders from the role (could be 1 or up to 3) who will dive further into the role with you and answer any questions you may have.
Leaf Group is a diverse, equitable, and inclusive workplace that reflects our customers and the world we live in. We encourage people from all backgrounds, ages, abilities, and experiences to apply for our roles. Leaf Group is an equal opportunity employer. We do not discriminate based on race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.
Agency Disclosure: If the Leaf Group Talent Acquisition department, or any current company employee, receives an unsolicited resume from a third party recruiting agency and Leaf Group does not have a signed Agency Agreement active, Leaf Group will not be deemed liable to pay a placement fee. The unsolicited resume will be considered a gift and can be considered for our recruitment efforts.
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Director Loan Credit Risk Pricing Optimization | Climb Credit |
Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.
Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates. Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.
We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.
Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.
To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.
Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together
Overview of Role
We are looking for a strong consumer credit leader who is excited to join the Credit team at a fast-growing startup. The candidate will help lead the growth and expansion of our student loan offerings. The ideal candidate will have experience in all aspects of consumer credit: default risk, pricing, feature optimization and working with marketing, revenue and product/tech teams on taking it to the market.
Responsibilities
Own the creation of loan features and pricing based on credit risk and market inputs - working with the revenue team to identify products & features needed in each school vertical, and working to deliver those products in collaboration with others in credit, and finance, product/tech teams.
Develop loan features, pricing, and school incentives to manage loan product profitability.
Continuously evaluate portfolio level performance, and build roadmaps for development.
Mentor junior team members.
Your Background and Skills
5-7 Experience working on consumer loan products: BNPL/In-direct Auto/Student Loans including in pricing, loan features, profitability determination.
5-7 years in consumer credit data, regulations, competitive landscape
5-7 years as a data scientist /managing credit risk analysts/data scientists.
Experience using data analytics tools and techniques (like Python/R, Develop statistical models)
3+ years experience with SQL and data visualization tools.
3+ years of experience with data manipulation and analysis with large data sets.
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive
Nice to Have
Consumer credit and pricing strategy experience in student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as mathematics, financial engineering, data science, econometrics, etc.
Capable of rapid expansion into larger responsibilities as the company grows.
Strong belief in continuous self-improvement.
Perks & Benefits
Competitive salary and annual bonus
Company equity
Annual education stipend
Work from Home stipend
Health benefits (coverage for medical, dental, and vision costs, life insurance, and more)
Unlimited PTO
Remote work
"Light Meeting Fridays" year-round
"Summer Friday" afternoons off
Paid parental leave
In-person and virtual team events
DoorDash Wednesdays
401k with company match
Climb earned a spot on Inc Magazine’s 5000 fastest growing companies in 2020!
We’ve raised hundreds of millions of dollars of lending capital from financiers such as The Blackstone Group and Goldman Sachs. We are currently 40 passionate technologists and business people excited to be changing the face of modern education.
Read about us in the news, check out our company values, and find us on Comparably.
Climb Credit is proud to be an equal opportunity employer, and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
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Applied Data Scientist Credit | Climb Credit |
Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.
Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates. Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.
We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.
Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.
To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.
Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together
Overview of Role
We are looking for a promising credit data scientist who is excited to join the Credit team at a fast-growing startup. The ideal candidate will have a strong data and analytics background, experience with analytical tools & technology, and a track record of producing insights and providing clear and actionable analysis for various stakeholders.
Responsibilities
As part of the Credit team, you will:
Build, refine, and increase automation of monitoring and reporting via data warehouse, reporting tools for estimating the loan performance and establishing trends
Create forecasting, stress and scenario analysis tests.
Streamline systems to improve data collection, accuracy and analysis.
Work with stakeholders on reporting and data requests.
Support the development of loan underwriting models that drive loan originations while minimizing credit losses.
Collaborate intimately with internal teams on product development as well as cross-functionally to support company goals.
Your Background and Skills
1-2 years data scientist role with knowledge of statistical and machine learning techniques.
2+ years experience using Python, running statistical analysis.
2+ years experience with SQL and data visualization tools.
1+ years of experience with data manipulation and analysis with large data sets on top of large databases and visualization tools.
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive
Nice to Have:
Consumer credit knowledge, particularly in student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as mathematics, financial engineering, data science, econometrics, etc.
Demonstrate passion for Climb’s mission to expand access to quality education
Capable of rapid expansion into larger responsibilities as the company grows.
Strong belief in continuous self-improvement.
Perks & Benefits
Competitive salary and annual bonus
Company equity
Annual education stipend
Work from Home stipend
Health benefits (coverage for medical, dental, and vision costs, life insurance, and more)
Unlimited PTO
Remote work
"Light Meeting Fridays" year-round
"Summer Friday" afternoons off
Paid parental leave
In-person and virtual team events
DoorDash Wednesdays
401k with company match
Climb earned a spot on Inc Magazine’s 5000 fastest growing companies in 2020!
We’ve raised hundreds of millions of dollars of lending capital from financiers such as The Blackstone Group and Goldman Sachs. We are currently 40 passionate technologists and business people excited to be changing the face of modern education.
Read about us in the news, check out our company values, and find us on Comparably.
Climb Credit is proud to be an equal opportunity employer, and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
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Senior Data Science Analyst | Zoom |
Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
Zoom is an award-winning workplace. We have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention we’ve been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. Our culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.
The ideal candidate will have experience and qualifications for Senior Data Science Analyst:
What you'll do:
Analyze data, build models, and apply advanced statistical techniques to provide a deeper understanding of our product, users, and communities
Apply your rich array of data science skills to support company initiatives from end-to-end machine learning, forecast, anomaly detection, causal inference, and experimentation • Ideate and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Responsible for dashboards that allow internal consumers to gain insight into the performance of their functional areas
Develop data visualizations that illustrate complex platform phenomena using Tableau, Looker etc.
Partner with leadership, engineers, product managers and data engineers to understand business needs and how these can be addressed through analytics
Working with partners to identify the key metrics their product should track and developing and sharing analysis, guidance, reports, and dashboards to successfully track and move these metrics
Constructing reusable data pipelines for company-wide use
experience in the design and analysis of A/B tests in a fast-paced environment at scale
Deep technical expertise in machine learning fundamentals, applied machine learning, and statistical modeling
Communicate analyses and recommendations to cross functional stakeholders for decision making
What You'll have:
Degree in a quantitative field like analytics, statistics, economics, computer science, or applied math
5+ years of industry experience autonomously translating ambiguous business problems into data-driven solutions
Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
Advanced in SQL and proficient with Python or R
Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected].
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
At Zoom, we care about our employees, their families, and their well-being. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. To view our benefits, click here.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
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Manager Data Science Research Support | Nielsen |
Job Description
The Manager of Data Science Research and Solution Support will provide advanced technical thought leadership, and research long-tail solutions that require advanced technical skill sets. In this capacity the professional will be pulling from the latest in modeling techniques, statistics, and have a strong ability in NLP, Deep Learning Techniques and Python based programming. Using these skill sets the professional will perform exploratory research, continue to research and enhance existing solutions, transfer their knowledge and expertise to fellow professional team members by educating them on the latest techniques and through collaborative projects. The thought leader will lead next-gen research for scalable state of art models that drive industry transformation through the engagement and position NielsenIQ as the forefront of technical data science.
Responsibilities:
Thought lead on innovative approaches to unique business challenges that require long-tail solutions.Perform Exploratory Research on potential solution deliveries that could have significant impact to clients macro and micro strategic initiatives.Educate and expand the teams knowledge in latest techniques in market for data science – share that knowledge through collaboration and active seminars w/team.Utilize highly advanced technical skill sets in NLP, Deep Learning Techniques and Python Based Programming to enhance existing solutions that were identified as, “Opportunities” for next-gen improvements.Offer support to peer team members as subject matter expert in data science to provide thought guidance on potential challenges peer leaders may encounter on projects w/solutions they are delivering.Drive milestone solutions that are proactive in nature on long-tail that can impact client strategies and bottom-line towards 5-10 year market macro, and micro.Research and Evaluate current solutions, and potential future solutions based on clients current market impacts from competitors, economy, consumers, etc.Be of growth and challenge mindset – challenge status quo w/better approaches, and be in continuous growth of learning newest techniques to apply.
Qualifications
Qualifications:
Effective people management experience including developing team and individual growth plans, coaching/mentoring, and aligning business goals to team objectivesProven servant leadership style, and diplomatic communicatorMaster’s degree or greater in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, Computer ScienceMinimum of 5 years of directly related work experience in marketing analytics, and at least 3 years proven leading a team of data science or analytic professionalsProficiency in working with statistical and econometric models in marketing to support clients in B2B, Retail and CPG areas.Coding experience in SQL, Python, R PreferredStrong Business Acumen & Experience Synthesizing complex analytic work to a business solution resultCompensation: $90 - 105K base + bonus based on years of experience
Additional Information
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
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Data Scientist | Nielsen |
Company Description
REF16408C
NielsenIQ BASES is a forward-thinking, rapidly growing, market research division of the NielsenIQ Company. That means we maintain an unbeatable client list, create best-in-class solutions and have access to incredible resources—without sacrificing the benefits of a smaller, leaner, close-knit company. We celebrate curiosity and creativity and encourage openness and collaboration.
We’re highly driven, team-oriented and psyched to use cutting-edge technologies to change how the world’s leading consumer companies innovate.
Through a blend of innovative market research technologies (such as evolutionary optimization, specialized choice modeling, neuroscience) and client consulting, we help major consumer products companies dramatically identify breakthrough product ideas, messaging that inspires action, fresh package designs and optimal launch strategies.
Job Description
As a senior statistician, you’ll work in a cross-functional, global team, to solve complex marketing research challenges for clients. You’ll work on a diverse range of challenging projects that are highly visible to senior management. The ideal candidate strives for rigor, following best practices, continuously learning and developing their skills, and has a data centric approach to solving challenges combined with a business-driven development mindset.
What you will do:
· Design and execute high impact research studies by applying state-of-the-art proprietary technology and cutting-edge statistical models
· Consult with internal clients on analytics and methodology
· Help qualify the business and product initiatives by identifying the needs of the clients and matching them to the appropriate methodology
· Challenge the status quo for existing methods and design new models and tools
. Validate and calibrate current learning algorithms to estimate the success likelihood and volume potential of future products
· Keep abreast of most recent statistical and market research innovations and trends
· Effectively communicate across functions
Qualifications
We are looking for people with
· MS or PhD in statistics, econometrics, Marketing Science or other related quantitative fields, with a high level of academic achievement
· Experience in high volume statistical consulting environment with diverse statistical projects
· Strong foundation in statistical inference and probability; ability to clearly write, interpret, and communicate complex statistical models to a variety of audiences
· Multivariate modeling experience such as linear and nonlinear regression models, limited dependent variable models, cluster analysis, etc.
· Solid theoretical knowledge of statistical segmentation/classification methods, mixed-effects models, hierarchical Bayesian models and MCMC simulation methods
· Knowledge of latent class models, linear discriminant analysis, conjoint and discrete choice models in market research
· 3+ years of experience with scripting languages, in particular Python and R
· Experience with Relational Databases and SQL programming
· Excellent communication skills, written, oral and graphical, and the ability to present complex ideas in a clear and concise manner to a variety of audiences
Additional Information
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
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Manager Of Data Science | Stitch Fix |
About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven, data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a $2B+ company we are looking for data scientists and leaders to join us in the revolutionization of retail.
About the Role
As a senior-level manager, you will lead a team of experienced data scientists for either Core Representation Learning or Search team. In partnership with other data science and business leaders, you will identify opportunities and frame algorithmic problems to drive impact of both existing and new product capabilities. You will be your own product and project manager, creating a vision of what should be built and empowering your team to actualize that vision.
As an experienced people manager, you will be responsible for developing bright individuals and building an amazing team. You should be excited to identify people’s strengths and development opportunities, fostering individual growth through frequent and kind feedback. As the company scales and the team continues to grow, you should understand the importance of being on the constant lookout to recruit top talent for the future.
You're excited about this opportunity because you will…
Build relationships and establish trust with data scientists across multiple teams
Build an operating theory of the business and be able to guide teammates to build new capabilities that will advance the enterprise.
Hire, teach, amplify, grow and develop the individuals on your team
We’re excited about you because…
You have 2+ years of prior people management experience
You have experience at companies with large search or recommendation systems problems.
You have led people, with ideally both research and engineering expertise.
You have expertise in Pytorch or deep learning framework
You have production machine learning experience and are proficient in deploying apps in Python
You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners
You are innovative and inspired to take on new challenges and you do not shy away from potential failure
You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field
Why you'll love working at Stitch Fix...
We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day
ABOUT STITCH FIX
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy
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Data Scientist Marketing Analytics | Stitch Fix |
Data Scientist - Marketing Analytics
About Stitch Fix
Stitch Fix is the world’s leading online personal styling service, combining data science and human judgment to deliver apparel, shoes, and accessories personalized to its clients’ unique tastes, lifestyles, and budgets. We delight customers with a personalized experience that helps them build a wardrobe that fits their style so they look and feel their best. Over the last 10 years, Stitch Fix has delighted customers with convenient styling services by integrating the power of data science together with human stylists. The company recently expanded its experience beyond the personal styling experience delivered via fixes by adding new offerings including a direct shopping experience in a personalized feed. This new shopping feed represents the beginning of a new chapter for the company, and delivers a superior shopping experience by presenting shoppers with items that fit them and their style. We envision a future in which we continue to disrupt traditional models by leveraging our stylists and our data science capabilities to delight customers in new ways with enhancements .
About the role
Data Scientist - Marketing Analytics is an integral part of the future success of our business. Our clients want clothes that will help them look and feel their best -- without the burden of sifting through thousands of items that don’t. As an experienced Marketing Data Scientist, you will help to provide the data and insights that will inform our marketing leadership team. You will proactively uncover insights that influence the marketing strategy and decisions. You will define and monitor the metrics that best measure the customer experience and are most impactful to the business. The role reports to the Senior Director of Enterprise Data Science and Analytics.
Minimum qualifications
4+ years in a marketing data science role
Exceptional coding skill in SQL and in Python
Experience with data mining, transforming and analyzing data across databases
Experience in working autonomously and taking ownership of projects.
Exceptional skill in structuring analyses, dashboard design and data visualizations to communicate meaningful metrics within the business.
Exceptional communication skills that allow you to effectively distill highly complex data analyses to non-technical business partners.
Ability to prioritize and focus on the questions that matter most to the business
Knowledge of statistics (experimental design, statistical analysis, hypothesis testing)
Experience partnering with marketing executives and algorithmic data scientists to answer tough business problems
2+ years of experience with data visualization tools
Preferred qualifications
Masters degree in a quantitative field (e.g., statistics, computer science)
2+ years of experience in working with event/log data
Experience working with marketing, product and engineering teams and technologies on platforms with existing, significant user adoption.
Responsibilities
The Data Scientist will work directly with stakeholders across Stitch Fix’s key Marketing teams to help shape measurement deliverables and roadmaps, while analyzing marketing efforts using analytics and data science
Partner with marketing, product, UIUX and algo to identify effective marketing investments to accelerate users Growth and Retention
Support budget planning and spend strategy with senior marketing stakeholders
Measure, report and present on growth and retention performance marketing results to senior management. Deliver hypotheses and insights beyond the numbers to guide business strategy.
Drives performance metrics alignment with cross functional stakeholders in product, finance and operations.
Hands on end-to-end quantitative analysis, modeling and leverage statistical techniques to understand user lifecycle, channel attribution and segmentations.
Partnering with the Data Engineering team to test, create and potentially maintain key datasets and pipelines for reporting and tracking.
Provide expertise in tracking and logging performance marketing data streamlines across various platforms, channels and devices.
Own and develop KPIs, audit metrics and build curated dashboards and provide scalable solutions to track and measure multiple marketing program’s work streams.
Work closely within Enterprise Analytics to centralize and consolidate key metrics across multiple business units within Stitch Fix, to provide clarity on metric relationships and lineage.
Partner with Product Data Scientist to support ad-hoc business insights.
Why you’ll love working at Stitch Fix:
We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day
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Subsets and Splits