Exploitation Specialist Data Scientist (Senior)

* 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.

• 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:

• Bachelors 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 ( office with computersphoneand 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 employeeis required tosit stand talk andhear.

• Employee isoften required to sit and use their hands and fingers tooperatea computer.

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

Travel:

• Up to 10%/ Occasionaltravel.

Avalore will provide reasonable accommodations to applicants who are unable toutilizeour online application system due to a disability. Please send your request

Avalore is an Equal Opportunity Employer - Wenot discriminatebased on age race national or ethnic origin genderveteransstatus 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 individuals 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 $175000 - $210000.

Required Experience:

Senior IC