Data Scientist
Auburn Hills, MI, United States
USD 125K-182K (estimate) Mid-level Full Time
Tasks
- Collaborate with business stakeholders to identify use cases
- Communicate results to technical and non-technical audiences
- Conduct peer code reviews
- Define and source data features with data engineers
- Design and implement econometric and causal inference models
- Develop and validate predictive models
- Develop documented methodologies for executive scrutiny
- Estimate and interpret price and incentive elasticities
- Maintain models in production
- Measure KPIs for business requirements
- Support model deployment and performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | CI/CD | Causal Inference | Clustering | Databricks | Difference-in-difference | Dimensionality Reduction | Dynamic Time Warping | Econometrics | Event Driven | Event-driven architecture | Experimental Design | Gradient boosting | LDA | MLOps | Machine Learning | Model Monitoring | Model versioning | Neural Networks | PCA | Power BI | PySpark | Python | Random Forest | Regression | Regression Discontinuity Design | Regression discontinuity | SQL | Snowflake | Statistical inference
Education
Roles
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