Data Scientist (Exploitation Specialist)

• This role in contingent upon award*

We are seeking a talented and motivated Data Scientist to perform advanced data analysis using statistical and quantitative methods, develop impactful visualizations to support decision-making, and create software solutions to monitor and manage data pipeline tasks. This role requires a strong technical background in data manipulation, AI/ML technologies, and database systems, paired with the ability to generate actionable insights from complex datasets.

Key Responsibilities:

• Conduct data analysis using statistical and quantitative methods to extract insights and support data-driven decision-making.
• Develop visualizations to communicate analytical results effectively to diverse stakeholders.
• Design and implement software solutions to monitor and manage data pipeline tasks.
• Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
• Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
• Leverage AI/ML technologies to drive innovation and solve complex data challenges.

Requirements

• TS/SCI with CI Poly Eligibility
• Experience working with AI/ML technologies and data systems.
• Demonstrated expertise in working with multiple file types, including geospatial formats, JSON, XML, etc.
• 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 database technologies, including SQL and NoSQL.
• Development experience in Python and other programming languages for data cleaning and manipulation.

Desired:

• 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, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.

Work Environment:

• Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).

• Ability to sit at a computer terminal for an extended period of time.

Physical Demands:

• While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.