remote
Staff Data Scientist - General Motors
Data Scientist
Lead advanced analytics initiatives across global operations, designing and deploying machine‑learning solutions using Python, Spark, and cloud platforms to drive data‑driven decision making.
About the role
Key Responsibilities
- Design, develop, and productionize scalable machine‑learning models and analytical pipelines for automotive manufacturing and supply‑chain optimization.
- Collaborate with cross‑functional teams to translate business problems into data‑driven solutions, delivering actionable insights and visualizations.
- Lead technical mentorship for junior data scientists and analysts, fostering best practices in code quality, reproducibility, and model governance.
- Implement and manage cloud‑based data infrastructure on AWS, leveraging services such as S3, EMR, and SageMaker for large‑scale data processing.
- Conduct advanced statistical analysis and experiment design to evaluate product performance and operational improvements.
Requirements
- Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Applied Mathematics, or a related field.
- 5+ years of hands‑on experience building production‑grade machine‑learning models using Python and Spark.
- Proficiency with SQL and data‑warehouse concepts for extracting and transforming large datasets.
- Strong expertise in cloud platforms, particularly AWS, and experience deploying models with services like SageMaker or Lambda.
- Demonstrated ability to communicate complex analytical results to both technical and non‑technical stakeholders.
Skills
pythonsqlmachine learningaws