Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**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. **Data Scientist 1 ($96,600 - $158,000)** At this level, you will: - 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. **Data Scientist 2 ($106,400 - $176,000)** In addition to the responsibilities listed above, at this level you will: - 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/