Duolingo is looking to derive insights from data to influence product roadmaps and drive business results, model user behavior, and estimate the impact of potential new feature implementations.
Requirements
- Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data
- Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt
- Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI.
Responsibilities
- 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
Other
- Pursuing a Masters or 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 Spring/Summer 2027
- Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes
- Previous experience analyzing large datasets and communicating results to technical and non-technical senior-level audiences
- 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
