VP Marketing Data Science
Location(s): New York, New York, United States
USD 129K-194K Executive-level Full Time
Tasks
- Analyze audience analytics and user journey analytics
- Build machine learning models for marketing effectiveness
- Communicate analytics insights to senior leadership
- Conduct incrementality studies
- Design advanced statistical models
- Develop cross channel attribution models
- Forecast marketing outcomes using predictive analytics
- Lead model development lifecycle from data preparation to deployment
- Manage analytics workstreams with multiple stakeholders
- Recommend optimal marketing spend and budget allocation
- Run A/B testing
- Translate business questions into analytics problems
- Validate and govern machine learning models
Perks/Benefits
- 401k
- Accident insurance
- Disability insurance
- Life insurance
- Medical, dental, and vision coverage
- Paid Holidays
- Paid time off
- Wellness programs
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Visualization | Dataiku | Deep learning | GenAI | Hive | Incrementality studies | LLM | LSTM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Power BI | PyTorch | Python | R | RNN | SQL | Tableau | TensorFlow
Education
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