remote
Lead Data Scientist - Gen AI for Condition Monitoring Analytics - Caterpillar, Inc.
Data Scientist
Lead a cross‑functional team to develop generative AI models that predict equipment health, leveraging Python, machine learning, and AWS to deliver real‑time condition monitoring solutions.
About the role
Key Responsibilities
- Design, prototype, and deploy generative AI models for predictive condition monitoring of industrial assets.
- Lead a multidisciplinary team of data scientists, engineers, and domain experts to translate business requirements into scalable AI solutions.
- Architect end‑to‑end data pipelines using AWS services, ensuring data quality, security, and compliance.
- Collaborate with product and operations teams to integrate AI insights into real‑time monitoring dashboards and alerting systems.
- Mentor junior team members, fostering a culture of continuous learning and best practices in ML engineering.
Requirements
- 10+ years of experience in data science, with a strong focus on generative AI and predictive maintenance.
- Proficiency in Python, SQL, and AWS (SageMaker, Lambda, S3, Glue).
- Deep expertise in machine learning, time‑series analysis, and model deployment at scale.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
- Experience leading cross‑functional teams in an agile environment.
Skills
pythonmachine learninggenerative aiawssql