Engineering Data Scientist

Welcome to BWXT

We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you’re an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We require a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

Location: On-site in Lynchburg, Virginia

Your Day to Day as an Engineering Data Scientist:

• Combines manufacturing experience with data science for nuclear products and process research & development.

• Applies a knowledge of manufacturing processes, technical analysis, an innate curiosity, and willingness to learn in science capabilities at the Nuclear Operations Group in Lynchburg (NOG-L).

• Assists in the development of standards for data structure and integrity to support machine learning objectives.

• Performs advanced artificial intelligence projects while ensuring the protection of mission critical systems.

• Learns and deploys a range of machine learning models and processes for cause analysis.

• Works with engineers across NOG-L product lines to distill and solve manufacturing and inspection problems.

• Interacts with our customer continuously to ensure that expectations are met.

• Also, may include:

• Implementing large language models to drive productivity in engineering and administrative functions.
• Develop agentic Al tools for use throughout the plant.
• Establish machine and deep learning systems for predictive quality.
• Employ visualization products including analytics, 3D simulation, and data models.
• Develop sensor platforms and imagery processing on development or production processes.
• Propose new data science work for customer funding.

Required Qualifications:

• A minimum of a Bachelor's Degree in Engineering, Physics, Computer Science, or a related discipline, with relevant coursework in data science, machine learning, and/or artificial intelligence.
• A minimum of two (2) years of manufacturing and/or data science experience is required; however, an advanced degree may substitute for this experience.
• Strong coding skills are required (C , Python, R, or similar)
• Willingness to learn new tools is a must.
• Experience in simulation or design tools a plus. -Image processing using OpenCV, Tensorflow or similar packages is a plus.
• Must have demonstrable teamwork, problem solving, and communication skills
• Must be a U.S. citizen.

• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance.

Preferred Qualifications:

• Expertise in NOG-L product lines is preferred.
• Experience in statistical analysis, signal processing and/or computer vision strongly desired.

What We Offer:

• Competitive salary and benefits package, including health, dental, and retirement plans.
• Professional development opportunities, including mentorship programs and sponsorship for continuing education.
• An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
• The chance to be part of a mission-driven organization making a positive impact on the future of energy.
• Opportunities for continuous learning and training to grow throughout your career!