Data Science Manager, Marketing Analytics
Tasks
- Build centralized code repositories packages and workflows in Python
- Conduct descriptive analytics
- Define requirements and clean complex datasets
- Develop evaluate and productionize machine learning solutions
- Implement MLOps best practices and automated pipelines
- Lead data science projects end to end
- Optimize incentive models
- Present deliverables to internal and external stakeholders
- Provide team leadership and operational culture building
- Research industry trends and recommend improvements
- Scale insights across stakeholders
Perks/Benefits
- 401k match
- Employee stock purchase program
- Flexible time off
- Medical, dental, and vision insurance
- Occasional meals
- Paid parking
- Snacks
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Causal Inference | Databricks | GitHub | Gradient boosting | MLOps | Machine Learning | Neural Networks | Python | SQL | Scikit-learn | Spark | Statistical modeling | TensorFlow
Education
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