Data Scientist, Intern (PhD)

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.
• 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.

Requirements & Tech Stack

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.

Compensation

• Hourly Range: $63 — $65 USD