Manager - Data Science
Are you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
About the Role
As a Manager - Data Science, you will lead an international team. This team consists of data scientists and machine learning practitioners responsible for developing, experimenting with, deploying, and benchmarking AI/ML models. Additionally, they will work on prompt-engineered solutions embedded into Westinghouse digital products. You will work with Westinghouse leaders to understand business and product need to support main themes such as Asset Management, Work Management, and Business Process Optimization. Identify critical skill needs and address gaps to ensure the necessary capabilities—spanning classical ML, deep learning, and generative AI—are available to help develop scalable, production-grade model solutions. You will report to the Director, AI Data Infrastructure and work remotely.
Responsibilities
- Engage with the Digital and Innovation (D&I) leaders to promote the D&I vision. This vision drives global Westinghouse and industry modernization. To achieve this, provide input and accomplish the digital roadmap. The roadmap aims to improve the position of Westinghouse and our customers relative to safety, profitable growth, and process efficiency.
- Assume responsibility for the success of model development, experimentation, deployment, quality assurance, and prompt engineering practices allowing Westinghouse digital solutions.
- Lead the data science team in developing, evaluating, and deploying AI/ML models and generative AI solutions. These solutions address customer needs across multiple use cases.
- Ensure models are production-ready, benchmarked against clear performance criteria, and embedded into digital solutions.
- Train team members responsible for model deployment and monitoring in production.
- Establish best practices for experimentation, model validation, reproducibility, versioning, and responsible AI according to Westinghouse Information Technology and the AI Architecture team.
Qualifications
- A data science, machine learning, or applied AI management background leading international team members
- Familiarity with the nuclear and energy industries
- Experience