Related skills
sql python machine learning predictive modeling experimentation📋 Description
- Lead experimentation strategy and metric development
- Design and analyze A/B tests for product and growth decisions
- Build predictive, behavioral, and attribution models for personalization
- Collaborate with product, engineering, design, marketing, and ops to quantify impact
- Develop dashboards and scalable data tools for self-serve insights
- Shape evaluation of AI-powered systems and translate analyses into guidance
🎯 Requirements
- 5+ years of experience in a quantitative role within a product-focused environment
- Strong fluency in SQL and Python
- Deep experience with experimentation design, statistical analysis, and causal inference
- Track record of influencing product or growth strategy through data-driven insights
- Experience building predictive or machine learning models (bonus for production experience)
- Strong communication skills and ability to simplify complex findings
🎁 Benefits
- Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
- Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
- Financial Wellness: 401(k) program and equity opportunities.
- Meals & Home Office Support: Stipends for home office setup and meals for both remote and in-office.
- Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
- Wellness & Development: Annual stipends for personal and professional growth.
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