> Markdown version of [/jobs/ext/1364568-manager-data-science](https://www.wearedevelopers.com/jobs/ext/1364568-manager-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager - Data Science - **Company:** Westinghouse Electric Company LLC. - **Location:** Cranberry Township, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $130,400.0 - $163,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Infrastructure, Machine Learning, SQL Azure, Azure Machine Learning, Management of Software Versions, Azure Data Factory, Deep Learning, Model Validation, Information Technology, Machine Learning Operations - **Published:** July 21, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17649784?backUrl=%2Fcareer%2F17649784%2FManager-Data-Science-Pennsylvania-Cranberry-Township ## About the Role * 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.S. 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 ## Description 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. We will achieve this responsibility through: * 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking MSSQL on Cloud. All of them. 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