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
Requirements
Pursuing an undergraduate degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Spring/Summer 2027
Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
Previous experience analyzing large datasets and communicating results
Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data
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
(Exceptional) Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt
(Exceptional) Experience articulating business questions and using available data to find answers that translate into product recommendations
(Exceptional) Self-starter, with a desire both to learn new techniques and guide others
(Exceptional) Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI.
Benefits
Language learning opportunities
Catered in-house lunches, and breakfast and dinner options
Company-wide Hackathon
Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.