Related skills
forecasting sql python📋 Description
- Own analytics for a feature area; define metrics and data-driven decisions
- Design experiments to measure impact and validate assumptions
- Contribute to forecasting and growth modeling; translate models to strategy
- Advise cross-functional teams on product decisions with data
- Communicate findings to senior leadership and partners
🎯 Requirements
- 6+ years of data science, analytics, or applied quantitative analysis
- Advanced SQL and Python for analysis, modeling, and validation
- Experience with experimentation and causal inference
- Time-series forecasting or statistical modeling techniques
- Ability to communicate models and findings to senior leadership
- Comfortable in fast-paced environments with multiple options
🎁 Benefits
- Generous performance-based bonus plans
- Medical, dental, and vision coverage
- Retirement contributions with immediate vesting
- Quarterly wellness days for all employees
- Birthday holiday plus a day off for your birthday
- One-time home office stipend
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