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Westinghouse Electric Co. is seeking a Manager of Data Science to lead an international team focused on developing, deploying, and benchmarking AI/ML models, including prompt-engineered solutions in digital products.
You will collaborate with IT leaders to align with asset, work management and process optimization themes and report to the Director of AI Data Infrastructure. The role emphasizes production-grade model solutions, responsible AI, and cross-functional leadership in a remote-capable
On behalf of VetJobs/MilitarySpouseJobs, thank you for your interest. We are assisting our partnering company, listed below, with this position. It is open to Veterans, Transitioning Military, National Guard Members, Military Spouses, Wounded Warriors, and their Caregivers.
Requisition Number: 33257
Company: Westinghouse Electric Co
Location: Cranberry Township, US
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.
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.
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.
The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $130,400 to $163,000 per year.
Westinghouse Electric Company Is The Global Nuclear Energy Industry's First Choice For Safe, Clean, And Efficient Energy Solutions. We Enable Our Delivery Of This Vision By Living Our Value System
Safety and Quality
Integrity and Trust
Customer Focus and Innovation
Speed and Passion to Win
Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities
Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube
Employment opportunities may require access to information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.