Data Scientist - BWXT

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. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.

BWXT’s Nuclear Operations Group - Lynchburg is currently seeking a Data Scientist for its Lynchburg, VA location!

The Data Scientist will establish data science capability at the Nuclear Operations Group – Lynchburg facility.

Essential Functions/Responsibilities:

• Combines engineering experience with data science for nuclear product research and development.
• Applies a knowledge of manufacturing processes, an innate curiosity, and a willingness to learn in developing machine learning and data science capabilities at NOG-L.
• Assists in the development of standards for data structure and integrity to support machine learning objectives.
• Learns and deploys a range of statistical techniques for causation analyses.
• Works with engineers across NOG-L product lines to distill and solve manufacturing and inspection problems.
• Interacts with customer continuously to ensure that expectations are met.
• Also, may:
  • 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.
• Performs other duties as assigned.

Required Qualifications:

• A minimum of a Bachelor’s degree in Computer Science, or a related discipline with a focus in data science, machine learning, and/or artificial intelligence.
• Must possess at least six (6) years of manufacturing and data science experience. 
• Must possess proven ability and willingness to learn new tools.
• Must be able to demonstrate superior written, oral, and interpersonal communication skills.
• Ability to work in a team-oriented, collaborative environment is required.
• Proven analytical and creative problem-solving abilities is required.
• Must be highly self-motivated and directed, with keen attention to detail.
• Must be a US Citizen with no dual citizenship.
• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance.

Preferred Qualifications:

• ABET-accredited degrees.
• Expertise in NOG-L product lines.
• Previous experience in statistical analysis, signal processing and/or computer vision.
• Strong coding skills in C++, Python, R, or other similar tools.
• Previous experience in simulation or design tools.
• Previous experience with image processing using OpenCV, Tensorflow, and similar packages.
• Previous experience with process monitoring.

#LI-AN1

Pay: $77,000 - $112,000

The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $77,000 and $112,000 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.

Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.

BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color religion, gender, national origin, citizenship, age, disability or veteran status.

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf

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