onsite
Expert Data Scientist - EHS - Boeing
Data Scientist
Lead advanced EHS analytics, building high‑risk prioritization models and AI solutions using Python, ML, and AWS to drive safety insights and operational excellence.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models for high‑risk EHS events using Python and machine learning frameworks.
- Extract, transform, and analyze large datasets from multiple sources, ensuring data quality and integrity.
- Collaborate with cross‑functional teams to define metrics, dashboards, and visualizations that inform safety decisions.
- Implement scalable data pipelines on AWS, leveraging services such as S3, Redshift, and SageMaker.
- Translate complex analytical findings into actionable insights for EHS stakeholders.
Requirements
- Advanced proficiency in Python, SQL, and statistical modeling.
- Experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch) and model deployment.
- Hands‑on knowledge of AWS data services and cloud architecture.
- Strong communication skills and ability to present technical concepts to non‑technical audiences.
- Background in environmental, health, or safety analytics is highly desirable.
Skills
pythonmachine learningdata analysissqlaws