Data Scientist

Battelle is seeking a full-time Data Scientist to support client missions tied to CBRNE challenges in Chantilly, VA. In this hybrid role, you will apply machine learning, data engineering, and multi-source data analysis within a fast-paced agile environment.

Key Responsibilities

• Design and implement machine learning, statistical, and data engineering methods to advance client mission objectives across science and technology domains
• Use expertise with data collection and analysis tools to improve existing approaches and develop new methods for mission-critical data science problems
• Independently propose, develop, and execute creative solutions, including identifying new data sources and data exploitation techniques
• Collect, organize, and analyze technical information from multiple sources to support mission execution and quick-turn tasks in time-sensitive environments
• Deliver thorough work products that require minimal revision or editing
• Manage expectations, communicate progress, and meet deadlines in an agile setting
• Collaborate with multidisciplinary teams, including co-located and geographically distributed team members, and lead tasks on schedule and within budget

Required Qualifications

• Bachelor’s degree with 8+ years of relevant experience; or Master’s degree with 5+ years; or PhD in a relevant field with 3+ years; or an equivalent combination of education and experience
• Experience using tools to collect, assemble, interpret, translate, and analyze 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 and statistics and/or data mining techniques to extract insights from complex datasets
• Experience automating 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 working 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

Location and Work Model

Chantilly, VA (hybrid)

• Enhanced work flexibility with a hybrid arrangement of 60% in-office and 40% remote
• Monday and Tuesday are common in-office days

Compensation

• Salary range: $135,000 to $180,000 per year
• Salary is determined by factors including education, relevant experience, skills, and certifications
• Salary ranges may vary based on geographic location and market conditions

Benefits

• Compressed work schedule: flexible compressed schedule with every other Friday off
• Paid time off
• Medical, dental, and vision coverage with wellness incentives and benefits plus optional supplemental benefits
• Coverage for partners, gender-affirming care and health support, and family formation support
• 401(k) retirement savings plan with employer contribution (for most employees, 5% whether you contribute or not) and matching on top of that
• Tuition assistance

Vaccinations and Safety Protocols

Battelle may require employees, based on job duties, work location, and/or client requirements, to follow safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment, including providing documentation of full vaccination.

If applicable, reasonable accommodations may be available based on a qualified disability or medical condition under the Americans with Disabilities Act or the Rehabilitation Act, or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws).

Work Environment Where You Succeed

• Apply your talent to challenging and meaningful projects
• Receive select funding to pursue ideas in scientific and technological discovery
• Partner with world-class experts in a collaborative environment
• Nurture and develop the next generation of scientific leaders
• Give back to and improve communities

About the Role

This position is full-time and focuses on supporting client missions within CBRNE challenges by integrating machine learning, data engineering, and multi-source analysis in an agile workflow.