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sql python machine learning causal inference churn📋 Description
- Lead ML models for churn, retention, activation, and LTV.
- Build segmentation, uplift, and propensity models for product/marketing.
- Drive insights for targeting, bidding, onboarding via causal inference.
- Own end-to-end analytics: define metrics, instrumentation, experiments, impact.
- Design and deploy rigorous causal models; collaborate with Eng on pipelines.
- Influence product roadmaps with opportunity sizing and usage analysis.
🎯 Requirements
- 9+ years in data science/analytics (SaaS/AdTech/MarTech).
- Marketing models: churn, retention, LTV; segmentation and clustering.
- Causal inference techniques (DiD, synthetic controls, uplift) and experimentation.
- Ad ecosystems: RTB, attribution, identity graphs, bidding, pixels.
- SQL and Python; production ML experience.
- Partner with Product to define metrics, run experiments, and shape product strategy.
🎁 Benefits
- Competitive salary and equity
- Health premium coverage (HSA and PPO)
- 75% dependent premiums coverage
- 401K plan (Pre-tax, Roth, After-tax)
- 4 weeks PTO and paid family/disability leave
- Employee Resource Groups and NextRoll Gives Back volunteering
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