Global Data Science Manager: AI/ML Leader (Remote)

Westinghouse; United States; Remote; USD 130,000 - 163,000; Full time

Benefits offered by this job

Medical benefits

401(k) with Company Match

Paid vacations and holidays

Flexible work arrangements

Educational reimbursement

Career programs

Job summary

Westinghouse seeks a Manager - Data Science to lead an international team of data scientists and ML practitioners, developing, testing, deploying, and benchmarking AI/ML models, including prompt-engineered solutions for digital products.

You will report to the Director, AI Data Infrastructure and work remotely, collaborating with D&I leaders to drive modernization across asset management, work management and process optimization.

Qualifications

• Experience leading international data science teams and delivering ML solutions.
• Familiarity with AI/ML platforms, experimentation frameworks and LLMs.
• Background in business, operations or consulting with progression.
• Knowledge of Azure data engineering certifications is helpful.

Responsibilities

• Lead the data science team in developing, evaluating, and deploying AI/ML models and generative AI solutions.
• Promote the D&I vision and align with digital roadmap to modernize Westinghouse processes.
• Ensure production-ready models with benchmarking and responsible AI practices.

Skills

Data science leadership

International team leadership

ML model development

MLOps practices

Generative AI

Education

Bachelor's in data science

Bachelor's in computer science

Bachelor's in business management

Bachelor's in statistics

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure Database Administrator Associate

Job description

Westinghouse seeks a Manager - Data Science to lead an international team of data scientists and ML practitioners, developing, testing, deploying, and benchmarking AI/ML models, including prompt-engineered solutions for digital products.

You will report to the Director, AI Data Infrastructure and work remotely, collaborating with D&I leaders to drive modernization across asset management, work management and process optimization.