Data Scientist

At Battelle, experience matters, especially when addressing the complexities of chemical, biological, radiological, nuclear, and explosives (CBRNE) challenges. For over 70 years, government agencies and industries have trusted us to provide solutions for some of their most critical CBRNE issues. Battelle is home to advanced facilities and leading industry experts who deliver end-to-end solutions-from threat awareness to complex systems integration-ensuring the nation is prepared to respond to both current and emerging threats.

Our commitment to safety and innovation makes us a leader in the field, dedicated to protecting national security and public safety.

We are currently seeking a Data Scientist. This position is a full-time opportunity located in Chantilly, VA.

Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business Line is seeking a skilled and curious Data Scientist to provide direct support at a client facility. The selected candidate will apply expertise in machine learning, data engineering, and multi-source data analysis to advance critical client missions across science and technology domains.

This role requires strong technical proficiency in data science tools and methodologies, a passion for solving mission-critical challenges, and the ability to operate effectively in a fast-paced, agile environment both independently and as part of a multidisciplinary team.

As a Data Scientist, the selected individual will apply advanced data science expertise to support high-priority government missions.

Responsibilities may include:

- Design and implement machine learning, statistical, and data engineering techniques to advance client missions across science and technology domains - Apply technical proficiency in data collection and analysis tools to improve existing techniques and devise new approaches to solve mission-critical data science challenges - Independently propose, develop, and execute creative solutions to unique data science problems, including identifying new data sources and data exploitation techniques - Collect, organize, and analyze technical information from multiple sources to drive client missions and quick-turn tasks in fast-paced environments - Provide thorough, complete work products that require minimal revision or editing - Proactively manage expectations, communicate progress, and meet deadlines in a fast-moving, agile environment - Collaborate effectively across multidisciplinary teams, including co-located and geographically distributed team members, while leading tasks on time and within budget

- Bachelor's degree with 8+ years of relevant experience; Master's degree with 5+ years of relevant experience; PhD in a relevant field with 3+ years of experience; or an equivalent combination of education and experience - Experience using tools for collecting, assembling, interpreting, translating, and analyzing multi-source data - including science and technology information, network data, open-source data, and databases - and synthesizing findings into actionable intelligence - Experience applying machine learning, statistics, and/or data mining techniques to derive insights from complex datasets - Experience with automation of data pipelining processes, data transformation, databases, and/or repositories - Experience assessing and reporting on technologies and scientific topics, including technology readiness levels (TRL) and critical technology elements (CTE) - Experience with diverse media and advanced science and technology data - Experience in national security, defense, and/or intelligence community programs - Enthusiasm for learning new technical subject areas and curiosity about science and technology missions - Must be a U.S. citizen with an active TS/SCI clearance with polygraph

Battelle is committed to fair and equitable compensation practices. The salary range for this role is $135,000 - $180,000 per year, in addition to our comprehensive benefits package. A candidate's salary is determined by various factors, including but not limited to education, relevant work experience, skills, and certifications.

Salary ranges may vary based on geographic location and market conditions.