Data Scientist | Revel IT

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.

• 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

• 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.