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.
- 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!
Pay: $76,000 - $119,000
The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $76,000 and $119,000 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,' unless employed at a location and in a position subject to a collective bargaining agreement. The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.
