Related skills
sql python pytorch airflow scikit-learn📋 Description
- Build, deploy, and iterate predictive and causal models for incentives
- Design experiments to measure incremental impact, payback, and ROI
- Partner with Product, Finance, Marketing, and Engineering on incentives strategy
- Design and optimize incentive allocation under budget and policy constraints
- Monitor production systems, analyze user behavior, and propose improvements
- Influence growth modeling, personalization, and cross-sell optimization
🎯 Requirements
- 7+ years applying ML in production, esp. growth, incentives, or personalization
- End-to-end ownership of models from design to deployment
- Predictive modeling, uplift modeling, causal inference, and experimentation design
- Python, SQL, and ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow)
- Airflow and production pipelines; tools for causal ML and experimentation
- Strong communication and stakeholder management across teams
🎁 Benefits
- Challenging, high-impact work to grow your career
- Performance-based pay, equity, and 401(k) matching
- Top-tier health insurance for you and dependents
- Lifestyle wallet for wellness, learning, and more
- Life and disability insurance, fertility, and mental health benefits
- Generous time off: holidays, PTO, sick leave, parental leave
- Catered meals, events, and comfortable workspaces
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