Data Scientist II

Nevada National Security Sites • Santa Barbara, CA

4d • $83,075 - $124,613 • Onsite

About The Position

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 and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc. Responsibilities The Special Technologies Laboratory (STL) is in search of a Data Scientist with a strong analytical background to work across multiple teams at our Santa Barbara, CA facility, supporting the design and development of novel algorithms for signal and data processing. This position is part of an interdisciplinary team that values a diversity of subject backgrounds.

Requirements

• Bachelor’s degree in a calculus-based (STEM) field, plus at least 2 years’ relevant experience.
• Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge.
• Graduate research experience may be recognized.
• Course of study in applied mathematics, electrical, software or computer engineering preferred.
• Proficiency with common compiled and interpreted scripting languages such C, C++ or Python.
• Experience developing statistical concepts to create solutions to physical science problems.
• Experience with building machine learning models for multi-modal datasets.
• Ability to manage multiple tasks and priorities.
• Excellent written and oral communication skills.
• Must possess a valid driver’s license.
• Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age.
• Reference DOE Order 472.2 , “Personnel Security”.
• Reviews and tests for the absence of any illegal drug as defined in 10 CFR Part 707.4 , “Workplace Substance Abuse Programs at DOE Sites,” will be conducted.
• Applicant selected will be subject to a Federal background investigation, required to participate in subsequent reinvestigations, and must meet the eligibility requirements for access to classified matter.
• Successful completion of a counterintelligence evaluation, which may include a counterintelligence-scope polygraph examination, may also be required.
• Reference 10 CFR Part 709 , “Counterintelligence Evaluation Program.”

Nice To Haves

• Prefer a graduate degree in a STEM field with either graduate or undergraduate degree in a calculus-based physical science, engineering, or applied mathematics field.
• Interest in autonomous manufacturing and inspection.
• Proficiency with signal processing, data exploration, and statistical analysis techniques is highly desired.
• Interest in machine learning methods, including clustering, regression, and classification is preferred.
• Experience with data visualization tools and user interfaces is preferred.
• Experience in developing models of physical phenomena to correlate with measured data is preferred.

Responsibilities

• Develop, implement, and evaluate machine learning algorithms to analyze multi-modal data (e.g. time series, imagery, sensor streams) from critical infrastructure monitoring.
• Design models to detect anomalous behavior and emerging risks in complex processes.
• Apply statistical and data-driven techniques to support quality assurance, system integrity and counter-sabotage objectives.
• Collaborate with cross-functional teams to translate operational challenges into analytical solutions.
• Perform exploratory data analysis to understand data characteristics, limitations and quality.
• Communicate technical findings clearly to both technical and non-technical stakeholders.
• Contribute to documentation, testing and continuous improvement of analytical workflows.
• Perform other duties assigned by Management.

Benefits

• MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.

What This Job Offers

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