VP, Data Science
New York - 150 E 42nd, United States
USD 163K-220K Executive-level Full Time
Tasks
- Build intelligence layer for decisioning agentic data products
- Develop and validate marketing mix models using Bayesian methods and Meridian
- Drive agentic analytics platform strategy for client pilots GTM training
- Lead measurement science team hiring and development
- Own measurement science methodology standards across MMM RBA incrementality forecasting market design
- Partner with AI agents to deploy models via MLflow on Databricks
- Present measurement science to clients and external stakeholders
- Translate model outputs into client actionable media recommendations
Perks/Benefits
- 401k
- Flexible work schedule
- Life insurance
- Long-term disability insurance
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Short-term Disability Insurance
Skills/Tech-stack
Bayesian statistics | Causal Inference | Databricks | Econometrics | Experiment tracking | Lifecycle Management | MLOps | MLflow | Marketing Mix | Marketing Mix Modeling | Meridian | Mix Modeling | Model versioning | Production Lifecycle Management | Production lifecycle | Pymc | Python | Results Based Attribution | Scikit-learn | Stan
Education
N/A
Roles
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