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Senior Robotics Data Engineer / Data Scientist - General Motors (GM)
Data Scientist
Lead the design and deployment of end‑to‑end data pipelines and machine‑learning models that power scalable robotics intelligence across manufacturing plants, leveraging Python, SQL, AWS, and robotics‑specific data sources.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, clean, and transform raw robotics telemetry for downstream analytics.
- Build and deploy production‑grade machine‑learning models to predict robot performance, detect anomalies, and optimize manufacturing workflows.
- Collaborate with cross‑functional teams to integrate data solutions into full‑stack applications and dashboards.
- Ensure data quality, security, and compliance across all stages of the data lifecycle.
- Mentor junior engineers and data scientists, fostering best practices in coding, testing, and documentation.
Requirements
- 5+ years of experience in data engineering and applied data science within an industrial or robotics context.
- Proficiency in Python, SQL, and cloud platforms (AWS preferred).
- Hands‑on experience with machine‑learning frameworks (scikit‑learn, TensorFlow, PyTorch) and model deployment.
- Strong understanding of robotics data formats, control systems, and real‑time data streaming.
- Excellent communication skills and a collaborative mindset.
Skills
pythonsqlmachine learningaws