Data Scientist | 1063265 Revel IT

Techlifecolumbus; Chantilly (VA); Hybrid; USD 105,000 - 160,000; Full time

Job summary

Techlifecolumbus in Chantilly, VA seeks a Data Scientist III to support a client facility in the CBRNE program. You will collect, organize, and analyze data from multiple sources to drive quick-turn missions and deliver actionable insights.

You will apply ML and data engineering techniques, transform data pipelines, and collaborate across disciplines in an agile, fast-paced environment, ensuring timely, high-quality results.

Qualifications

• Experience applying ML, statistics, or data mining to extract insights.
• Experience with multi-source data and actionable intelligence.
• Ability to design and automate data pipelines and data transformations.
• Strong understanding of TRL/CTE concepts is a plus.
• BS with 8+ years or MS/PhD with relevant experience.

Responsibilities

• Collect, organize, and analyze data from multiple sources to drive missions.
• Design and implement ML and data engineering techniques for client missions.
• Apply data collection tools to S&T mission areas and improve techniques.
• Collaborate in a multidisciplinary environment and lead tasks on time.
• Propose and execute creative data science solutions and data exploitation ideas.
• Deliver thorough products with minimal revisions and on-time delivery.

Skills

Data analysis

Machine learning

Data pipelines

Statistics

S&T data

Education

BS in a relevant field

MS or PhD preferred

Tools

ML tools

Data visualization

Job description

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.

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.