Sr. Manager, Data Scientist, Marketing Analytics
USD 135K-176K Senior-level Full Time
Tasks
- Build feature engineering pipelines
- Build predictive customer response models
- Collaborate with marketing and engineering teams
- Create customer lifetime value models
- Deploy machine learning models to production
- Design and run A/B tests
- Develop attribution and marketing mix modeling
- Develop marketing analytics roadmap
- Develop segmentation and propensity models
- Implement personalization algorithms
- Lead data science team
- Monitor model performance
- Present insights to senior leadership
- Run multivariate testing
Perks/Benefits
- 401k match
- Flexible work mindset
- Health benefits starting day 1
- Paid Holidays
- Tuition reimbursement
- Vacation days
Skills/Tech-stack
A/B | A/B Testing | AWS | Attribution Modeling | Azure | B testing | Causal analysis | Customer Lifetime Value | Demand forecasting | Experimental Design | Feature Engineering | GCP | Hadoop | Lifetime Value | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Multivariate Testing | NumPy | Pandas | Personalization | Price optimization | Propensity Modeling | PyTorch | Python | R | SQL | Scikit-learn | Segmentation | Spark | Statistical inference | TensorFlow
Education
Roles
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