Data Scientist (Exploitation Specialist)
About The Position
We are seeking a talented and motivated Data Scientist to perform advanced data analysis using statistical and quantitative methods, develop visualizations that support decision-making, and create software solutions to monitor and manage data pipeline tasks. The role requires technical expertise in data manipulation, AI/ML technologies, database systems, and generating actionable insights from complex datasets. This role is contingent upon award. The position requires TS/SCI with CI Poly eligibility. Desired qualifications include experience applying Natural Language Processing algorithms to extract information from documents; familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization practices; and expertise in mathematical, statistical, and quantitative techniques such as classification, regression, clustering, data reduction, and causal modeling. The work environment may include moderate office noise and occasional loud noise in areas such as airfields or around large equipment. The employee must be able to sit at a computer terminal for extended periods. Occasional travel of up to 10% may be required.
Requirements
- TS/SCI with CI Poly eligibility.
- Experience working with AI/ML technologies and data systems.
- Demonstrated expertise working with multiple file types, including geospatial formats, JSON, and XML.
- Proficiency in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
- Hands-on experience with data manipulation and ETL procedures.
- Working knowledge of SQL and NoSQL database technologies.
- Development experience in Python and other programming languages for data cleaning and manipulation.
Nice To Haves
- Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
- Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
- Expertise in math, statistics, and quantitative analysis, including classification, regression, clustering, data reduction, and causal modeling.
Responsibilities
- Conduct statistical and quantitative data analysis to extract insights and support data-driven decision-making.
- Develop visualizations to communicate analytical results to diverse stakeholders.
- Design and implement software solutions to monitor and manage data pipeline tasks.
- Process and analyze diverse file types, including geospatial formats, JSON, and XML.
- Perform data manipulation and ETL processes using SQL and NoSQL database technologies.
- Leverage AI/ML technologies to drive innovation and address complex data challenges.
Benefits
- Employer contributions to health care plan (medical, dental, and vision).
- Retirement plan (401k or IRA) with a matching program.
- Life insurance (basic, voluntary, and AD&D).
- Paid time off, including vacation, sick leave, and public holidays.
- Short-term and long-term disability.
- Training and development.
- Employee Assistance Program.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
