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 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
• 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 both to 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.

 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!