Jobs · Information Technology · Nebraska

Data Scientist - Expert

Amentum · Omaha, NE · 2 wk ago
On-siteInformation Technology$130k–$194k/yrFull-time

About the role

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.

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.
  • 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.
  • 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.
  • Work with cross-functional teams to 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.

Requirements

  • Minimum Education: 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)
  • Minimum Years of Experience: 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.
  • Required Certifications: Must meet DoD 8140.02 / DoDM 8140.03 Cyberspace Workforce Qualification Requirements

Qualifications

  • 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
  • Extensive experience managing and merging disparate data sources, preferably through R, Python, or SQL
  • 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

Benefits

  • Your health. Your well-being. Your security. Your future.
  • Health and welfare benefits including medical, dental, vision, and basic life insurance.
  • 401k plan and deferred compensation plan.
  • Performance discretionary bonus.
  • Stock purchase plan.

Pay

The base salary range for this position is $130k to $194k. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Schedule

Details on the schedule will be provided during the interview process.

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