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marketing analytics sql python machine learning experimentation📋 Description
- Lead end-to-end ML models for churn, retention, LTV.
- Build segmentation and propensity scoring frameworks.
- Drive product insights with causal inference and experiments.
- Own analytics for initiatives: metrics, instrumentation, experiments.
- Collaborate with Data Engineering and ML Platform on pipelines.
- Mentor analytics teams and raise scientific rigor.
🎯 Requirements
- 9+ years in data science/ML/analytics (SaaS/AdTech/MarTech).
- Marketing ML models: churn, retention, LTV; segmentation.
- Causal inference techniques and experimentation frameworks.
- Ad ecosystems knowledge: RTB, attribution, identity graphs, bidding.
- Strong SQL and Python; build and ship production ML models.
- Partnered with Product to define metrics, run experiments, shape strategy.
- Strong data storytelling; translate patterns into actionable recommendations.
- Navigate ambiguity and set long-term analytics strategy.
🎁 Benefits
- Competitive salary and equity
- Comprehensive health plans; premiums partially covered
- 401K with pre-tax and Roth options
- Paid time off and work-life balance
- Paid family leave and disability benefits
- Employee Resource Groups and volunteer opportunities
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