Data Scientist (Intern)

• Derive insights from data to influence product roadmaps and drive business results
• Apply advanced analytical and AI methods 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
• Develop dashboards, reports, and/or forecasts
• Ensure the quality of our tracking and data collection
• 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- Excellent presentation and communication skills
• 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, PA or New York, NY
• Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data
• Pursuing an Undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Fall 2027 or Spring/Summer 2028
• Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
• Previous experience analyzing large datasets and communicating results
• 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
• 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- Talent Matching reviews your resume and responses to application questions to determine the extent to which your qualifications match the job requirements selected for this role. These requirements and their desired weighting are established by our recruiters in collaboration with hiring managers
• All Talent Matching output is reviewed by our recruiting and hiring teams, who make the final decision on each application. Talent Matching does not automatically disposition any candidate or make hiring decisions