Data Scientist - Expert

Amentum•Omaha, NE

6d•$130,000 - $194,000•Onsite

About The Position

This position is contingent upon award of contract, business needs, and funding availability. The organization is seeking an Expert-Level Data Scientist at Offutt AFB, NE to support the Air Combat Command (ACC) in advancing information-centric decision-making capabilities across Intelligence, Surveillance, and Reconnaissance (ISR) operations. The selected candidate will apply advanced data science methodologies to integrate, analyze, and exploit multi-intelligence (multi-INT) data sources in support of mission-critical objectives. This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI/ML), predictive modeling, and data engineering, along with the ability to translate complex data into actionable intelligence products for both technical and non-technical stakeholders. The candidate will serve as a senior technical advisor and lead efforts to modernize analytic tradecraft through automation, advanced analytics, and enterprise data integration aligned with DoD and Intelligence Community (IC) standards.

Requirements

Candidates must meet all DOD Cyber Workforce Framework (DCWF) Training Code 423 Advanced proficiency requirements in accordance with DOD 8140.03
Demonstrated experience working with large-scale and complex datasets, including Multi-INT or similar data environments
Advanced proficiency in major data science programming languages including Python, R, and SQL
Deep Expertise in data visualization tools and applications, including Power BI and Tableau
Extensive experience managing and merging disparate data sources, preferably through R, Python, or SQL
Willingness to comply with all DoD, Air Force, and local security and conduct standards
Ability to complete required training and maintain qualifications throughout the contract
Availability for CONUS and OCONUS support as mission requirements dictate
Contractor-provided training and certification upkeep (unless Government-directed)
Ability to obtain and maintain required program, system, and facility access
TS/SCI eligibility. A CI-scope polygraph examination may be required for some positions.
Master’s degree in data science, Computer Science, Engineering, Mathematics, Statistics, or related field, OR Bachelor’s degree with 5 additional years of expert-level experience (total 20 years)
15 years of experience in data science, analytics, or related field; at least part of the required experience must be within the past two (2) years.
Must meet DoD 8140.02 / DoDM 8140.03 Cyberspace Workforce Qualification Requirements
Appropriate DCWF role alignment (e.g., Cyber Defense Analyst, ISSO, Network or Systems Security roles)
Certification eligibility prior to contract performance (tracked and reported per Government standards)

Nice To Haves

Background in advanced analytics within intelligence, defense, or similar data-intensive domains
Experience in developing and deploying automated AI/ML solutions.
Familiarity with cloud-based data platforms (e.g., Azure, AWS, or GCP).
Experience with big data frameworks (e.g., Spark, Hadoop).
Strong written and verbal communication skills

Responsibilities

Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights.
Design and develop machine learning models, including recommendation engines and predictive systems, to streamline labor-intensive processes.
Build, validate, and deploy high-quality predictive models and analytical solutions.
Design and implement data architectures, structures, and systems to support mission requirements.
Support ISR operations, including SIGINT, cyber, targeting, weather, and PED processes.
Ensure data provenance, quality, consistency, and compliance with DoD and IC standards.
Develop and automate workflows for data processing, model training, and reporting.
Collaborate with cross-functional teams to support strategic and operational decision-making.
Ensure data quality, integrity, and governance across analytical workflows.
Advise leadership on data analytics strategies, AI/ML initiatives, and data standards.