Related skills
sql python machine learning segmentation causal inference📋 Description
- Lead end-to-end ML models for churn, retention, and LTV
- Build segmentation, uplift, and propensity scoring frameworks
- Drive product insights using causal inference and experimentation
- Own analytics for initiatives; define metrics and quantify impact
- Collaborate with Eng and ML Platform for pipelines and deployment
- Mentor analytics and data science teammates
🎯 Requirements
- 9+ years in data science, ML, or advanced analytics in SaaS/AdTech/MarTech
- Experience with churn, retention, LTV models and segmentation
- Causal inference techniques and experimentation frameworks
- Ad ecosystems knowledge: RTB, attribution, identity graphs, bidding
- SQL and Python fluency; production-grade ML models
- Partner with Product to define metrics and run experiments
- Strong data storytelling and cross-functional communication
- Navigate ambiguous problems and drive long-term analytics strategy
🎁 Benefits
- Competitive salary and equity
- Medical, dental, and vision premiums covered for employee
- 401K plan with pre-tax and Roth options
- Paid time off and work/life balance
- Disability and life insurance at no cost
- Employee Resource Groups and volunteering opportunities
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