Data Scientist, Intern (PhD)

Duolingo

Pittsburgh +1 more

On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have advanced analytical experience in digital product environments.

Best fit for

Candidates with advanced quantitative degrees and a focus on applied business analytics
— “Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field”
Individuals with experience in analyzing large datasets and translating insights into product decisions
— “Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences”
Those with a strong interest in AI and a history of using tools like Cursor for innovation
— “Familiarity with AI tools such as Cursor, a knack for prompt engineering”

Things to consider

Relocation to Pittsburgh or NYC is required despite flexible work arrangements
— “Able to relocate to Pittsburgh or NYC for the internship”

How to stand out

Highlight experience in causal inference and modeling user behavior in your resume and interviews
— “Apply advanced analytical methods, structural approaches, causal inference”
Demonstrate your ability to influence product roadmaps through data-driven insights
— “Derive insights from data to influence product roadmaps”
Emphasize your track record of making actionable recommendations that improve business outcomes
— “making actionable recommendations that improve the product or business”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Derive insights from data to influence product roadmaps
Evaluate product experiments
Communicate and present findings to senior management

Typical background

PhD in quantitative fieldExperience with large datasetsPrevious experience in applied business settings

Skills & requirements

Required

SQLRPythonStatistical MethodsData AnalysisCommunication SkillsMachine LearningAI

Preferred

BigQuerySnowflakedbtAI ToolsPrompt Engineering

Stack & domain

SQLRPythonStatistical MethodsLeadershipCommunicationEducationHealthcare

About the role

Original posting from Duolingo via Greenhouse

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.
Read our blog to learn more.
About the role
You will...
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
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
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
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
Able to relocate to Pittsburgh or NYC for the internship
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
Self-starter, with a desire to both learn new techniques and guide others
Previous experience/internships in applied business settings
Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI
A GPA of 3.5+
A Duolingo streak
Why you’ll love working here…
Language learning opportunities
Catered in-house lunches and breakfast
Company-wide Hackathon
PTO and company holidays
Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!
Connect with your recruiter on the benefits for interns at Duolingo!
Hourly Range for this internship is:$63—$65 USD

Source: Duolingo careers (Greenhouse)