
Manager – Data Science
Posted Jul 25

Posted Jul 25
This is a fully remote position, open to applicants in Pennsylvania.
• Collaborate with the leaders in Digital and Innovation (D&I) to advocate for the D&I vision.
• Contribute to and execute the digital roadmap.
• Take charge of the successful development, experimentation, deployment, quality assurance, and prompt engineering practices that enable Westinghouse's digital solutions.
• Guide the data science team in the creation, assessment, and implementation of AI/ML models and generative AI solutions.
• Ensure that models are production-ready, evaluated against well-defined performance criteria, and integrated into digital solutions.
• Educate team members responsible for model deployment and production monitoring.
• Set up best practices for experimentation, model validation, reproducibility, versioning, and responsible AI in alignment with Westinghouse Information Technology and the AI Architecture team.
• A background in data science, machine learning, or applied AI management with experience leading international teams.
• Knowledge of the nuclear and energy sectors.
• Proficiency in model development, experimentation frameworks, MLOps practices, and third-party AI/ML platforms and foundational models.
• A B.S. degree in business management, computer science, data science, industrial engineering, statistics, or a related field.
• Over 10 years of experience in business, operations, or consulting services, demonstrating progression and complexity.
• Microsoft Certified: Azure Data Engineer Associate is advantageous.
• Microsoft Certified: Azure Database Administrator Associate is beneficial.
• Comprehensive medical benefits, which may include medical, dental, vision, prescription coverage, and a Health Savings Account (HSA) with employer contribution options.
• Wellness programs aimed at supporting employees in maintaining their health and well-being, including an Employee Assistance Program offering support for employees and their household members.
• A 401(k) plan with company match contributions to assist employees in their retirement planning.
• Paid vacation days and company holidays.
• Opportunities for flexible work arrangements to foster work-life balance.
• Educational reimbursement and comprehensive career programs designed to support employees' professional growth.
• Global recognition and service programs to honor employee achievements and service.
• An employee referral program.
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