Manager - Data Science

Job summary

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.

Benefits

Qualifications

• A data science, machine learning, or applied AI management background leading international team members
• Familiarity with the nuclear and energy industries
• Experience with model development, experimentation frameworks, MLOps practices, and 3rd party AI/ML platforms and foundation models
• B.
• degree in business management, computer science, data science, industrial engineering, statistics or equivalent
• 10+ years of experience in business, operations or consultation services with progression and complexity
• Microsoft Certified: Azure Data Engineer Associate helpful Microsoft Certified: Azure Database Administrator Associate helpful
• We are committed to transparency and equity in all of our people practices.
• The base salary range for this position, which is dependent upon experience,

Responsibilities

• 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.
• 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.
• 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.

Skills

Certifications

Degrees

Industry

Company size