Exploitation Specialist / Data Scientist (Senior)

Location: Springfield, Virginia, United States

Department: DoD - TS/SCI

Workplace: on_site

Employment Type: full

Description

* This role in contingent upon award*

Avalore, LLC is seeking an Exploitation Specialist / Data Scientist, Senior to support Department of War (DoW) customers in Springfield, VA.

In this role, you will perform in-depth data analysis using statistical and quantitative methods, develop visualizations that support decision-making, and build software tools to monitor and manage data pipeline activities. You will work with a wide range of data formats, apply advanced analytic techniques, and contribute to the development of automated systems that enhance data processing and insight generation.

Key Responsibilities:

• Conduct data analysis using statistical and quantitative approaches.
• Create visualizations that communicate trends, patterns, and insights to support decision-making.
• Develop software solutions that improve monitoring, automation, and management of data pipeline tasks.
• Process and transform complex datasets to produce actionable, data-driven insights.
• Perform data manipulation and execute extract, transform, and load (ETL) procedures.
• Work with various database technologies, including SQL and NoSQL systems.
• Collaborate on projects involving AI/ML technologies and modern data systems.

Requirements

• TS/SCI with CI Poly Eligibility
• 10 years of relevant experience OR an equivalent combination of relevant experience, education, and training.
• Experience with AI/ML technologies and related data ecosystems.
• Proficiency working with multiple data file types, including geospatial formats, JSON, XML, and others.
• Strong background in quantitative analysis, data visualization, and processing complex datasets.
• Hands-on experience with ETL workflows and data manipulation techniques.
• Working knowledge of SQL and NoSQL database technologies.
• Development experience using Python and additional languages for data cleaning, transformation, and automation.

Desired:

• Bachelor's degree in a related technical discipline preferred.
• Experience applying Natural Language Processing (NLP) algorithms to extract information from documents.
• Background in enterprise-level Computer Vision, automated data collection, automated reporting, and data standardization best practices.
• Demonstrated expertise in mathematics, statistics, and quantitative analysis.
• Familiarity with analytic techniques such as classification, regression, clustering, dimensionality 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. 

• Employee is often required to sit and use their hands and fingers to operate a computer. 

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Travel: 

• Up to 10%/ Occasional travel. 

Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to hr@avalore.ai. 

Avalore is an Equal Opportunity Employer - We not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

Benefits

Eligibility requirements apply.

• Employer Contributions to Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program
• Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
• Salary estimates for this job range from $175,000 - $210,000.