About the role

You will...

• 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

 You have...

• 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 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
• 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 and dinner options
• Company-wide Hackathon
• Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!

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