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Senior Principal Data Scientist

Nevada National Security Sites

Santa Barbara, California, United States

Santa Barbara, California, United States

Über

Job Overview Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our mission is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site’s Cold War legacy. Our vision is to be the user site of choice for large‑scale, high‑hazard national‑security experimentation, with premier facilities below ground, on the ground, and in the air. MSTС offers full‑time employees highly competitive salaries and benefits packages including medical, dental, and vision; a pension and a 401(k); paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from the work location); tuition assistance and reimbursement; and more. MSTС is a limited liability company consisting of Honeywell International Inc., Jacobs Engineering Group Inc., and HII Nuclear Inc. Responsibilities The Special Technologies Laboratory (STL) is a key R&D innovator that provides the Nevada National Security Sites (NNSS), National Nuclear Security Administration (NNSA), and other government organizations with capabilities that address Department of Energy and Department of Defense national security requirements. Located in Santa Barbara, California, the laboratory is a unique satellite location within the NNSS and is responsive to NNSA nuclear security mission requirements and broader national security objectives. STL is seeking outstanding candidates for a Senior Principal Data Scientist position to work at STL located in Santa Barbara, CA. This position will support STL's core portfolios in Dynamic Experiments, Nonproliferation Research and Development, Cyber Physical Defense, and Strategic Systems and Intelligence by applying advanced data science techniques to complex problems. Approximately 80 % of your time will be as a technical lead, coordinating and supporting a diverse range of projects, while conducting team mentorship, project coordination, business development (sales), and strategic planning. The remaining 20 % will involve direct technical work on customer‑facing projects, applying your expertise in data sciences to solve complex challenges. Key Responsibilities
Serve as technical leader responsible for the development of new and unique data‑driven solutions to highly complex technical problems of broad scope. Devise comprehensive and exhaustive solutions, including cross‑disciplinary approaches and applications. Serve as Technical Lead for major projects and startups, initiating collaboration with external partners and leading collaboration to achieve mission execution. Mentor formal publication development by less experienced S/E’s, and routinely publish and present results of personal and team project work. Participate in business development by defining customer needs, developing proposals and planning projects. Work with customer personnel to ensure their needs are clearly defined and work with others to meet objectives. Ensure team’s processes and deliverables comply with laws, codes, orders, and MSTS policies and procedures. Identify opportunities for developing intellectual property as well as producing it. Provide guidance to senior management regarding strategic development opportunities. Conduct and oversee data analysis, advanced statistical models, and build machine learning algorithms. Design, lead, and evaluate experiments to validate model performance and impact. Provide data‑driven insights and recommendations to support strategic initiatives. Devise and develop solutions and approaches to technical, scientific and operational needs.
Qualifications
Bachelor’s in a calculus‑based technical (STEM) field plus at least 14 years of relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross‑disciplinary knowledge. Graduate research experience may be recognized. Bachelor’s degree or higher in a quantitative field preferred (Computer Science, Statistics, Mathematics, Computer Engineering). Demonstrated expertise in developing, implementing, and leading reinforcement learning model initiatives. Proficiency in programming languages commonly used in data science (Python, R). Familiarity with and practical application of machine learning frameworks and libraries (TensorFlow, PyTorch). Ability to monitor labor hour expenditures across multiple projects. Strong communication with executives and external stakeholders (DOE/NNSA, partner labs, vendors, academia). Primary work location: Special Technologies Laboratory (STL) in Santa Barbara, CA. Work schedule will be negotiated; options include 5–8, 9–80, or 4–10 work‑weeks. Pre‑placement physical examination, including a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must possess a valid driver’s license.
Security Clearance Applicant must be able to obtain and maintain a DOE Q‑level security clearance, which requires U.S. citizenship and at least 18 years of age. The position will be cleared to this level. Reviews and tests for the absence of any illegal drug and a federal background investigation will be conducted. Information on the background investigation and additional clearance requirements is governed by DOE Order 472.2 and 10 CFR Part 709. Equal Opportunity Employer MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status, or other characteristics protected by law. MSTS is a background screening, drug‑free workplace. Compensation Annual salary range: $147,804.80 – $229,091.20. Starting salary is determined based on the position market value, the candidate’s education and experience, and internal equity.
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Santa Barbara, California, United States

Sprachkenntnisse

English

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