VP, Senior Data Scientist - Marketing Intelligence
Tasks
- Analyze customer behavior and marketing performance
- Build customer segmentation models
- Build next best action models
- Build production ready analytical solutions
- Build recommendation models
- Calculate customer lifetime value models
- Create scalable datasets and features
- Define success metrics and recommendations
- Design A/B tests
- Develop predictive models
- Develop prescriptive models
- Develop propensity and lead scoring models
- Ensure responsible AI privacy and fairness
- Establish model governance and validation best practices
- Measure causal impact
- Monitor test and document model performance
- Optimize acquisition engagement retention and ROI
- Perform churn modeling
- Translate business questions to analytical frameworks
Perks/Benefits
- 401k employer match
- 529 Savings Plan
- Access to self directed trading
- Dental insurance
- Employee mortgage loan program
- HSA or FSA
- Holidays
- Life insurance
- Medical insurance
- Paid sick leave
- Paid vacation
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | Causal Inference | Causal measurement | Databricks | Delta Lake | Experimentation | Lakehouse | MLflow | Machine Learning | Model Evaluation | Model Governance | Predictive Analytics | Prescriptive Analytics | PySpark | Python | SQL | Statistical modeling | Unity Catalog | Uplift Modeling
Education
Roles
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