Manager, Operational Data & Technologies

BWXTLynchburg, VA
$99,000 - $157,000Hybrid

About The Position

The Manager, Operational Data & Technologies will support R&D in the design, manufacture and testing of nuclear products for power, propulsion and medicine. This is a hybrid position based in Lynchburg, Virginia at the Advanced Technologies Office. BWXT’s Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers. BWXT is People Strong, Innovation Driven - be part of BWXT’s innovation hub. If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.

Requirements

  • A bachelor’s degree in engineering is required, preferably in nuclear or mechanical engineering, with coursework or project experience applying data science techniques.
  • Must have at least five (5) years of leadership/supervisory experience.
  • Leadership experience includes positions that involve providing direction to others and schedule as well as responsibility that can be demonstrated by an ability to take the initiative, adhere to deadlines, and collaborate with multi-disciplinary teams.
  • A minimum of eight (8) years of relevant experience is required.
  • Must have analytical programming skills in C++, Python, and/or equivalent.
  • Must be proficient in at least one of the following areas: data engineering, operational technologies such as machine vision, statistical techniques, or machine learning methods.
  • Must be a U.S. citizen
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.
  • All candidates must be U.S. citizens.
  • Selected applicants are required to successfully complete a pre-employment check and drug screening.
  • In addition, the position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.

Responsibilities

  • Lead a team of experts in experiment design, research, and analysis at the intersection of information, operational, and engineering technologies, developing code and algorithmic solutions that support product development.
  • Oversee research efforts ranging from sensor and data pipeline development to data lake implementation and AI/machine learning applications in a manufacturing or engineering environment.
  • Establish value-added strategy for R&D funding of data and operational technologies.
  • Collaborate with design engineers and manufacturing development to create, build, maintain and modify data acquisition and control systems for automated equipment for quality support.
  • Solve predictive manufacturing and physics problems by collecting and curating structured and unstructured data using sensor suite research, statistical techniques, automated analyses, neural networks, or other data science methods.
  • Participate in a diverse portfolio of engineering projects that also include opportunities for digital twin development and multi-physics simulation products.

Benefits

  • Competitive salary and benefits package, including health, dental, and retirement plans.
  • Flexible work schedules and paid time off to promote a healthy work-life balance.
  • 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!
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