Senior Machine Learning Engineer (Marketing)
Tasks
- Analyze large datasets
- Build machine learning models
- Collaborate with cross-functional teams
- Communicate recommendations to stakeholders
- Conduct A/B testing
- Estimate incremental lift
- Evaluate model performance
- Extract actionable insights
- Maintain statistical models
- Optimize marketing mix modeling
- Optimize marketing spend
- Perform causal inference
- Predict lifetime value
- Recommend marketing analytics improvements
Perks/Benefits
- Healthcare
- Internet or cell phone reimbursement
- Learning and development stipend
- Travel opportunities
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | B testing | Causal Inference | Data Analysis | Databricks | Deep learning | Experiment design | Geo-lift | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incremental Lift | Lifetime Value | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | PyTorch | Python | SQL | Scikit-learn | Statistical modeling | TensorFlow | Tree-based Models | Vertex AI | XGBoost
Education
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