Data Scientist (Intern, PhD)

• 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

Benefits

• Medical, dental, and vision for employees as well as eligible partners and dependents
• Mental health benefits such as therapy sessions and coaching to support you to be your best self
• Fertility benefits to support your family planning journey
• Fully paid parental and adoption leave
• Fully paid subscription to Care.com and paid backup days for dependents and your fur family
• 401(k) with generous match and immediate vesting
• 20 days of paid time off, with two additional weeks off for winter break
• First-time home buyer bonus (in Pittsburgh)
• Competitive salaries and equity
• Yearly stipend for professional development
• Transportation reimbursement for however you get to work
• Lunch prepared daily by our in-house chefs
• Annual international retreat for all full-time employees
• Monthly events celebrating our team and their amazing work
• On-site gym and massages
• Game room for taking brain breaks- 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