Global Data Science Manager - AI/ML Lead (Remote)

VetJobs

Cranberry Township (Butler County)

Remote

USD 130,000 - 163,000

Full time

10 days ago

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Benefits offered by this job

Medical benefits
401(k) with Company Match
Paid vacations
Flexible Work Arrangements
Educational reimbursement
Career programs
Global recognition and service
Employee referrals

Job summary

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

Qualifications

  • Lead international data science and ML teams across projects.
  • Develop, test, deploy and benchmark AI/ML models for production.
  • Integrate prompt-engineered solutions into Westinghouse digital products.

Responsibilities

  • Lead the data science team to develop, evaluate, deploy AI/ML and generative AI solutions.
  • Ensure models are production-ready and benchmarked against clear performance criteria.
  • Train team members in deployment, monitoring and responsible AI practices.

Skills

Data science leadership
Nuclear & energy industry knowledge
MLOps & deployment

Education

Bachelor's degree

Tools

Azure Data Engineer
Azure Database Administrator

Job description

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

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