Business Operations Data Scientist

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.

The Business Operations Data Scientist is a skilled and experienced Data Scientist with around 5 years of experience in data science, with additional background in data engineering and data analysis. This role requires good understanding of statistical methods, machine learning algorithms, data processing techniques, as well, as Portfolio and Project Management (PPM) and enterprise solutions. We are open to candidates located in the US, Spain, France or Poland. This role is approved for betweem 20 -40 hours per week depending on business needs.

Your Day to Day:

• Develop and implement data models and algorithms to solve complex business problems. Specially in the project management field.
• Perform data analysis to extract insights and inform decision-making.
• Collaborate with data engineers to design and maintain scalable data pipelines.
• Utilize machine learning techniques to build predictive models.
• Automate and improve processes using tools like PowerApps, Power Platform, etc.
• Work with both structured and unstructured data and databases / data lake.
• Communicate findings and recommendations to stakeholders through reports and presentations.

Who You Are:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 4+ Proven experience in Data Science in the Portfolio and Project Management field, preferably in the nuclear, engineering, manufacturing or construction industry.
• At least 4+ years' experience in project management, Microsoft Project, Microsoft Power Platform (Power BI, Power Automate, Power Apps), programming languages (such as Python, R, or SQL), big data technologies (e.g., Hadoop, Spark, Hive), cloud platforms (e.g., AWS, Azure, Google Cloud, Databricks).
• Certification in Microsoft Project Online and/or Project Management is a plus.
• Certifications in Data Science or Data Engineering from IBM, Microsoft, Google or similar is a plus.

Preferred Skills:

• Knowledge of project management principles and methodologies. PMO Experience.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with structured and unstructured data and databases.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn).

Why Westinghouse?

Westinghouse offers competitive benefits to all our employees around the globe to keep them healthy and enhance their well-being. In the U.S. the following are representative of what we offer:

• Competitive Salary
• Comprehensive Health, Wellness and Income Protection Benefits
• 401(k) Savings Plan with Company Match
• Paid Vacations and Holidays
• Opportunities for Flexible Work Arrangements
• Educational Reimbursement Program
• Employee Referral Program

Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:

• Safety and Quality
• Integrity and Trust
• Customer Focus and Innovation
• Speed and Passion to Win
• Teamwork and Accountability

While our Global Headquarters are located in Cranberry Township, PA, we have over 9,000 employees working at locations in 19 different countries. You can learn more by visiting

Equal Opportunity Employer of Minorities/Females/Vets/Disability

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Employment opportunities may require access to information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.