Data Scientist, Product
Own product-area metrics, funnels, experimentation, and behavioral analysis to identify opportunities and drive improvements in activation, engagement, and retention. The role partners directly with product and engineering while building trusted analytics infrastructure and proactive insight systems.
About the job
Responsibilities
- Own the metrics and funnels for a product area, driving measurable improvement in activation, engagement, and retention.
- Identify opportunities in user behavior and turn them into product bets, working directly with product managers and engineers to ship improvements.
- Design and run A/B and growth experiments, and act on the results.
- Build instrumentation, semantic models, and agents that surface product insights and opportunities proactively.
- Maintain trusted data through quality, definitions, and lineage.
Requirements
- Strong SQL and Python skills.
- Experience with applied statistics and experimentation, including A/B and growth testing.
- Strong understanding of user behavior, including activation, engagement, and retention.
- Ability to deliver directional answers quickly while recognizing when decisions require rigor.
- Entrepreneurial mindset, with comfort working autonomously in ambiguous environments.
- Ability to collaborate closely with product and engineering teams.
Technology Stack
- SQL
- Python
- BigQuery
- Pub/Sub
- Hex
- Lovable Apps
- GCP
Skills
SQL, Python, Applied Statistics, A/B Testing, Growth Testing, BigQuery, Pub/Sub, Hex, GCP, Product Analytics
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