Data Scientist (Intern, PhD)

Join our team as a Data Scientist Intern, where you will derive insights from data to influence product roadmaps and drive business results. You will apply advanced analytical methods, structural approaches, causal inference, and machine learning to model user behavior and estimate the impact of potential new feature implementations. You will also evaluate product experiments to create and improve user experiences, communicate findings and recommendations to senior management, and help preserve our culture of fact-based decision making as we scale.

• 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.
• Evaluate product experiments to create and improve user experiences.

• 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, and making actionable recommendations that improve the product or business
• 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
• 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
• Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes
• 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
• Previous experience/internships in applied business settings
• A GPA of 3.5+
• A Duolingo streak
• Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI
• Self-starter, with a desire to both learn new techniques and guide others