Data Scientist, Product
Data Scientist embedding with product teams to define metrics, run A/B tests, build dashboards, and drive data-informed decisions for consumer and enterprise AI products. Requires 5+ years quantitative experience with SQL/Python in hyper-growth environments.
About the job
Responsibilities
- Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth
- Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product
- Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics
- Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way
Requirements
- 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org
- Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python
- Defined, implemented, and operationalized new feature and product-level metrics from scratch
- Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
- Strategic insights beyond the paradigm of statistical significance testing
Nice-to-Haves
- Strong programming background, with ability to run simulations and prototype variants
- Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR)
- Demonstrated prior experience in NLP, large language models, or generative AI
Skills
SQL, Python, A/B Testing, Dashboards, Metrics, NLP, LLMs, Generative AI, Experiments, Uxr
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