Lead Machine Learning Scientist
Tasks
- Adopt modern machine learning techniques and use pretrained models
- Analyze and evaluate internal and external data sources
- Architect machine learning solutions
- Build agentic engineering workflows for model development testing and documentation
- Build next best action and cross sell models
- Conduct model training calibration and production iteration
- Define machine learning roadmap for marketing growth
- Design reward and incentive strategies for acquisition activation and retention
- Develop and deploy propensity models
- Develop churn prevention and intervention models
- Develop customer lifetime value models
- Develop data acquisition business cases
- Ensure model scalability measurability and marketing workflow integration
- Identify and resolve cost inefficiencies in models and pipelines
- Improve marketing spend efficiency with machine learning insights
- Improve onboarding targeting personalization and segmentation
- Measure incrementality using A B testing and uplift modeling
- Optimize reward levels and targeting for ROI
- Set standards for model development experimentation and validation
Perks/Benefits
- 401k matching
- Company holidays
- Dental insurance
- Financial wellness support
- Flexible PTO
- Flexible hours
- Home office stipend
- Medical insurance
- Paid caregiver leave
- Paid parental leave
- Virtual first work culture
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | Attribution | B testing | Churn modeling | Customer Lifetime Value | Customer lifetime value modeling | Data Science | LLMs | Lifetime value modeling | MMM | Machine Learning | Marketing Analytics | Marketing measurement | Propensity Modeling | PyTorch | Python | SQL | Scikit-learn | Snowflake | TensorFlow | Uplift Modeling | Value modeling
Education
N/A
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