Engineering Data Scientist

BWXT • Lynchburg, VA

8d • $76,000 - $119,000 • Onsite

About The Position

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. 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.

Requirements

• 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.
• 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.

Nice To Haves

• Experience in simulation or design tools a plus.
• Image processing using OpenCV, Tensorflow or similar packages is a plus.
• Expertise in NOG-L product lines is preferred.
• Experience in statistical analysis, signal processing and/or computer vision strongly desired.

Responsibilities

• 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.
• 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.

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level