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r sql python machine learning📋 Description
- Own experimental design, execution, and interpretation to drive growth decisions.
- Establish and defend standards for A/B testing and measurement frameworks.
- Develop and maintain user growth forecasting with Finance, Marketing, and Product.
- Drive analytics strategy within Growth, including dashboards and the metrics layer.
- Translate complex analyses into clear narratives for senior leadership.
- Collaborate across Product, Engineering, Design, Marketing, and Finance to embed data science.
🎯 Requirements
- 10+ years in data science or adjacent fields, preferably in B2B SaaS.
- Graduate degree in Economics, Statistics, CS, Data Science, or related field; PhD optional.
- Deep expertise in causal inference, experimentation, and ML models.
- Exceptional communication skills for technical and non-technical audiences.
- Strong command of SQL, Python or R, and data engineering ecosystem.
- Curious, humble, impact-driven team contributor.
🎁 Benefits
- Hybrid work environment with flexibility.
- Meals and snacks in our offices.
- Comprehensive healthcare plans.
- Fertility and adoption/surrogacy support.
- OneMedical memberships for you and dependents.
- 401(k) with employer match and stock-based RSUs.
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