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etl sql python data visualization experimentationπ Description
- Conduct analysis and deep dives on ambiguous problems for our business.
- Own a broad scope of data and metrics, from core logging to visualizations.
- Guide code reviews, provide SQL and Python expertise, and create ETL jobs.
- Define metrics, build measurement and causal frameworks, and translate insights into product decisions.
- Maintain high statistical rigor; ensure experiments and causal analyses are robust.
π― Requirements
- BA/BS in a quantitative field (Math, Stats, Physics, or CS) with β₯5+ years experience or PhD with β₯3+ years.
- Proven track record delivering impactful data science projects on ambiguous problems.
- Ability to influence external stakeholders by synthesizing learnings into stories.
- Practical expertise applying complex modeling frameworks to real business problems.
- Professional experience using SQL and Python.
- Experience with digital products in an iterative development cycle.
π Benefits
- Equity and bonus eligibility.
- Medical, dental, and vision coverage.
- 401(k) retirement plan.
- Offsite/team events to foster collaboration.
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