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sql python data visualization statistical modeling causal inference📋 Description
- Define metrics and reporting to evaluate developer productivity.
- Deep-dive into product and user data to drive roadmap decisions.
- Develop hypotheses and apply causal inference with experiments.
- Investigate anomalies and perform root-cause analyses.
- Build statistical models and simulations to automate decisions.
- Present analyses to both technical and non-technical stakeholders.
🎯 Requirements
- Python and SQL proficiency.
- Data visualization tools experience.
- Experimental design, causal inference, and A/B testing.
- Strong written communication and presentation skills.
- Track record translating data into actionable insights.
- 7+ years in data science or analytics roles.
🎁 Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office space in San Francisco.
🛃 Visa sponsorship
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