Related skills
forecasting sql python📋 Description
- Own analytics for a feature area: define metrics, build datasets, and drive data-driven decisions.
- Provide deep-dive analyses and root-cause insights to guide feature development.
- Design and analyze experiments to assess feature impact and behavior.
- Design measurement plans to evaluate growth initiatives and validate assumptions.
- Contribute to statistical forecasting models and translate outputs into growth plans.
- Advise cross-functional teams to guide product decisions.
🎯 Requirements
- 6+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of influencing business decisions through data
- Advanced proficiency in SQL and Python for analysis, modeling, and validation
- Background in experimentation (A/B testing) and causal inference for product development
- Familiarity with time-series forecasting or statistical modeling techniques
- Experience communicating models and findings to senior leadership and cross-functional partners
- Ability to operate effectively in fast-paced environments with multiple viable options, delivering directional insights with clear rationale
🎁 Benefits
- Generous performance-based bonus plans for eligible employees - we share in our success.
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting
- One-time home office stipend
- Annual professional development budget
- Considerable paid parental leave
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