Lead Machine Learning Scientist
Tasks
- Analyze large and complex datasets
- Architect machine learning solutions
- Build and deploy propensity models
- Build business cases for data acquisition
- Build churn prevention and intervention models
- Build cross sell and next best action models
- Build customer lifetime value models
- Define machine learning roadmap for marketing growth
- Design agentic engineering workflows for model development
- Design reward and incentive strategies
- Evaluate and improve marketing spend efficiency
- Improve onboarding targeting personalization and segmentation
- Leverage pre trained models and AI LLMs where applicable
- Measure incrementality using A B testing and uplift modeling
- Optimize reward levels and targeting for ROI
- Resolve cost inefficiencies across models and pipelines
- Select internal and external data sources for model performance
- Set standards for model experimentation and validation
- Train calibrate and iterate models in production
Perks/Benefits
- 401k matching
- Financial advisor support
- Financial wellness support
- Flexible PTO
- Flexible hours
- Home office stipend
- Medical, dental, and vision insurance
- Paid caregiver leave
- Paid parental leave
- Virtual first work culture
Skills/Tech-stack
A/B | A/B Testing | Attribution Modeling | B testing | Calibration | Churn modeling | Customer Lifetime Value | Data Science | Experimentation | Incrementality | Lifetime Value | Machine Learning | Marketing Mix | Marketing Mix Modeling | Marketing measurement | Mix Modeling | Next Best Action | Personalization | Propensity Modeling | PyTorch | Python | Reward Optimization | SQL | Scikit-learn | Segmentation | TensorFlow | Uplift Modeling
Education
N/A
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