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Data Scientist

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: Revel-IT-1
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist | 1063265

Client's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business Line is currently seeking candidates for a full-time position as a Data Scientist III. This position will provide support at a client facility in the Chantilly, VA area.

  • Experience in national security, defense, and/or intelligence communities
  • Experience with diverse media and advanced S&T data
  • Experience in national security, defense, and/or intelligence communities
  • Experience with diverse media and advanced S&T data
Responsibilities
  • Collecting, organizing, and analyzing technical information from multiple sources to drive client missions and quick-turn tasks in fast-paced environments.
  • Aid in the design and implementation of machine learning and data engineering techniques for application to advanced client missions in science and technology (S&T) fields.
  • Technical proficiency in applying data collection and analysis tools to S&T mission areas, specifically to improve existing techniques and devise new techniques to solve mission-critical data science challenges.
  • Collaborating in a multi-disciplinary environment while working independently and leading tasks on time and on budget.
  • Independently propose, develop, and execute creative solutions to unique data science problems, including Suggestions for new data sources and data exploitation techniques
  • Providing thorough and completed products that require minor revisions and/or editing.
  • Proactively managing expectations and meeting deadlines in a fast-moving, agile environment.
  • Maintaining excellent communication and interaction with both co-located and geographically diverse team members
Key Qualifications
  • Experience using tools for collecting, assembling, interpreting, translating, and analyzing multi-source data, such as S&T information, network, open source, and databases, and synthesizing knowledge into actionable intelligence.
  • Experience applying machine learning, statistics, and/or data mining techniques to gain insights from data.
  • Experience with automation of data pipelining processes, data transformation, databases, and/or repositories.
  • Experience with assessing and technical reporting on technologies and scientific topics, i.e. technology readiness levels (TRL) and critical technology elements (CTE).
  • Experience with diverse media and advanced S&T data.
  • BS and (8+) years of relevant experience; MS and (5+) years of relevant experience;
    PhD in relevant field and (3+) years of experience, or an equivalent combination of education/experience in a relevant field.
  • Excitement about learning new technical subject areas and curiosity about S&T missions.
  • Experience in national security, defense, and/or intelligence communities.
  • Must be a US Citizen with an active TS/SCI clearance with polygraph.

Reference:1063265

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Revel IT, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your experience doesn't align perfectly with every qualification in the description, we encourage you to apply anyway.

You might be the right candidate for this or our other open roles!

Revel IT is an Equal Opportunity Employer. Revel IT does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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