Data Scientist I​/II — Nuclear Waste Data & Visualization

What You Will Do

At Los Alamos National Laboratory (LANL), we solve national security challenges through simultaneous excellence! The Plutonium Capability Transuranic Waste Management group, Nuclear Process Infrastructure-6 (NPI-6) is looking for a highly motivated individual to serve as a Data Scientist to join our team. NPI-6 ensures safe, efficient, and compliant waste management generated at the TA-55 Plutonium Facility, the Chemistry and Metallurgy Research (CMR) building, the TA-50 Radioactive Liquid Waste Treatment Facility (RLWTF), and the Radiological Laboratory Utility Office Building (RLUOB).

Within this scope, the Data Team provides metric tracking, research and analysis, and custom software products to facilitate group operations. As part of this team, there are ample opportunities to learn new skillsets, and we maintain a supportive environment when challenges arise. At LANL, how we do our work is just as important as what we do. Our team members comply with a variety of nuclear management related requirements;

work independently on challenging concurrent projects requiring close cooperation, adaptability, initiative, and willingness to provide support wherever needed to meet LANL's National Security Mission.

• Assist with collaborative projects to advance throughput of waste characterization.
• Take responsibility for understanding tasks and own contributions to deliverables.
• Set direction and goals for assigned tasks and manage your own assignments.
• Contribute to internal reports and presentations, build data pipelines, visualize data, and improve information flow processes.

• Contribute to medium to large scale proposals, and the development of intellectual property leading to copyrights or patents, journal papers and/or technical reports.
• Set individual and/or team direction and goals for well-defined tasks within a project.
• Develop innovative advanced concepts, theories, methods, techniques, and approaches to address specialized problems, expanding on existing efforts or establishing novel research directions such as innovations in waste packaging safety/efficiency.
• Use project assignments to further organizational goals by developing and implementing project management plans, including scope, schedule, and budget for small to moderate projects and/or major project tasks.

Minimum

Job Requirements:

Computing: Demonstrated knowledge and experience in one or more of the following technical disciplines: script coding (ex. Python, SQL, bash), data engineering, data analysis and visualization, statistics, web application development. Familiarity with Windows and Linux operating systems.

Collaboration:Demonstrated ability to thrive in a highly collaborative environment, demonstrating strong interpersonal skills and the ability to work across disciplines.

Methodology Development:Demonstrated knowledge and experience in developing and implementing technical research and development of projects, including the formulation and test of hypotheses, investigation of alternate solutions and recommendation of solutions to technical problems.

Communication:Ability to communicate safety, security, and quality assurance practices for the work assignment, including ability to formulate, document and present results to non-technical and technical audiences through written and spoken communication.

Leadership:Experience planning, directing and executing technical projects.

Mentorship:Experience mentoring junior staff, peers, students.

Communication:A record of achievement through publications, presentations and technical products.

Education/Experience at lower level: Position requires a Bachelor's degree in a STEM field from an accredited college or university and 2 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.

Education/Experience at higher level: Position requires a Bachelor's degree in a STEM field from an accredited college or university and 4 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.

• Experience with low-code platforms such as Oracle APEX, Mendix, Strategy (a.k.a. Micro Strategy), or Microsoft Power Automate.
• Experience transitioning prototypes to production-ready tools, including working with stakeholders to facilitate tool adoption.
• Familiarity with process engineering and improvement.
• Experience navigating large organizational hierarchies and meeting complex legal and administrative requirements.
• Experience bridging between computing and operations communities.
• Experience using prompt engineering for generative AI.
• Active DOE "Q" clearance (or equivalent).

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special…