Related skills
sql python tableau statistics data pipelines📋 Description
- Own KPI framework for API platform: adoption, engagement, retention, health.
- Build funnels from first integration to production to spot friction.
- Define guardrails for reliability, latency, errors, and cost; tie to outcomes.
- Design and evaluate experiments and rollouts to quantify impact.
- Collaborate with Product/Engineering to improve instrumentation and data quality.
- Translate complex analysis into clear insights for leadership.
🎯 Requirements
- 10+ years in data science within product/tech, platform focus preferred.
- Expertise in statistics and causal inference for experimentation and observational studies.
- Expert-level SQL and Python for analytics, modeling, experimentation.
- Experience designing and interpreting experiments with stats-driven recommendations.
- Experience building datasets, metrics, and data pipelines powering production decisions.
- Experience with BI tools (Tableau) and building self-serve data solutions.
🎁 Benefits
- Hybrid work model: three days in the office per week.
- Relocation assistance for new employees.
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