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Added 39 mins ago
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Avalore, LLC is seeking an Exploitation Specialist / Data Analyst, Mid to support Department of War (DoW) customers in Springfield, VA.
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Avalore, LLC

Exploitation Specialist / Data Analyst (Mid)

Springfield, VA, United States

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Job details

Posting language: English
Posted: Oct 8, 2026

Original job description

This role in contingent upon award*

Avalore, LLC is seeking an Exploitation Specialist / Data Analyst, Mid to support Department of War (DoW) customers in Springfield, VA. We are seeking a highly skilled Data Analyst to support the maintenance and management of data holdings, ensuring compliance with established data standards and performing in-depth quantitative data analysis. In this role, you will transform complex datasets, develop insightful visualizations, and conduct analyses to provide actionable recommendations for improving data strategies, particularly in support of Machine Learning (ML) model development.

Key Responsibilities:

Maintain data holdings and ensure adherence to data standards.
Perform quantitative analysis to extract meaningful insights from large datasets.
Transform raw data into usable formats for analysis and visualization.
Develop and deliver visualizations to aid in data understanding for both technical and non-technical audiences.
Conduct data-driven analyses to propose strategies for improving Machine Learning (ML) model development.
TS/SCI with CI Poly Eligibility
Minimum of 5 years of relevant professional experience; OR
2 years of relevant professional experience and a bachelor's degree in a related field; OR
3 years of relevant professional experience and an associate degree in a related field; OR
A bachelor's degree and a master's degree in related fields; OR
An equivalent combination of relevant experience, education, training, and certifications totaling at least 5 experience points under the GEO-SPI qualification framework.
Proven experience in preparing data, performing statistical analysis, and using tools/algorithms to gain insights from large, complex geospatial datasets.
Proficiency in programming languages and tools such as Python, R, SQL, GIS, or Tableau.
Demonstrated ability to develop visualizations that effectively communicate analytical results to diverse audiences.

Desired:

Experience working in AI/ML-related fields, particularly in imagery exploitation.

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.

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 $140,000 - $170,000.

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