Data Scientist - Commercial Analytics
Auburn Hills, MI, United States
USD 125K-207K (estimate) Mid-level Full Time
Tasks
- Collaborate to measure KPIs
- Communicate results to technical and non-technical audiences
- Conduct peer code reviews and support deployment best practices
- Create visualizations and data storytelling
- Define and source data features with data engineers
- Develop and validate predictive models
- Develop statistical and machine learning methodologies
- Identify machine learning use cases
- Maintain models in production environments
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | CI/CD | Causal Inference | Clustering | Component analysis | Data Pipelines | Databricks | Deployment Pipelines | Difference-in-difference | Dimensionality Reduction | Event Driven | Event-driven architecture | Feature Engineering | Feature Store | Gradient boosting | LightGBM | Logistic Regression | MLOps | Machine Learning | Model Monitoring | Model Registry | Model versioning | Neural Networks | PCA | Power BI | Principal Component Analysis | PySpark | Python | Random Forest | Real Time | Real-time Data | Real-time data pipelines | Regression | Regression Discontinuity Design | Regression discontinuity | SQL | Snowflake | XGBoost
Education
Roles
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