Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
New York, NY; Pittsburgh, PA
Live, first seen by us 24 days agoPursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g
Derive insights from data to influence product roadmaps and drive business results
Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions
Derive insights from data to influence product roadmaps and drive business results
Model user behavior and estimate the impact of potential new features
Evaluate product experiments to improve user experiences
Communicate and present findings and recommendations to senior management
Help preserve fact-based decision making as the company scales
Derive insights from data to influence product roadmaps and drive business results
Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions
model user behavior and estimate the impact of potential new feature implementations
Evaluate product experiments to create and improve user experiences
Communicate and present findings and recommendations to senior management
Help preserve our culture of fact-based decision making as we scale
Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field
Able to relocate to Pittsburgh or NYC for the internship
Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data
Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences
Strong understanding of consumer digital products
You have... - Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028 - Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 24
Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business - Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data - Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture
Exceptional candidates will have... - Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt - Experience articulating business questions and using available data to find answers that translate into product recommendations
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
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New York, NY; Pittsburgh, PA
Working pattern and location restrictions need checking in the full posting.
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