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forecasting machine learning observability experimentation attribution📋 Description
- Provide direction on growth strategy using causal inference and experimentation.
- Lead technical direction to data teams; hands-on leadership for complex problems.
- Identify company problems and design data science outputs to deliver value.
- Contribute to strategy, roadmap, and vision of the data science org.
- Evangelize best practices; build a culture of craftsmanship and innovation.
- Mentor data science talent to grow technically and professionally.
🎯 Requirements
- 10+ years of data science experience or equivalent in a quantitative field.
- B.S./M.S./Ph.D. in a quantitative field (Statistics, Math, Economics, OR, Eng).
- Experience with modern causal inference techniques.
- Lead org-wide initiatives across teams or influence tech roadmap.
- Collaborate across teams to drive business outcomes.
- Balance execution with research, depth, and scalable design.
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