Data Scientist (Exploitation Specialist)

Avalore • Springfield, VA

2d

About The Position

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

The position may involve working in a business office with computers, phones, and printers, and/or occasional loud environments such as an airfield or areas with large equipment. It requires the ability 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 mathematics, 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 address complex data challenges and drive innovation.

Benefits

• Employer contributions to health care plan (medical, dental, and vision); eligibility requirements apply.
• Retirement plan (401k, IRA) with a generous matching program.
• Life insurance (basic, voluntary, and AD&D).
• Paid time off (vacation, sick, and public holidays).
• Short-term and long-term disability.
• Training and development.
• Employee Assistance Program.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed