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DoD Statistician

Remote / Online - Candidates ideally in
Ohio, USA
Listing for: Huntington Ingalls Industries
Full Time, Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Scientist, Systems Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 85000 USD Yearly USD 85000.00 YEAR
Job Description & How to Apply Below

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Requisition Number:29338

Required Travel: 0 - 10%

Employment Type:

Full Time/Salaried/Exempt

Anticipated Salary Range:$85,000.00-$

Security Clearance:

Ability to Obtain

Level of

Experience:

Entry Level

This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5

ISR systems.

HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.

Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5

ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you.

HII-Mission Technologies is seeking a Statistician to support the development and testing of defense systems.

What do we do?

In this role, you will partner with interdisciplinary teams to plan and implement statistical methods to gather and analyze data and assess it against stated performance requirements. We are at the forefront of applying advanced statistical methods and are constantly exploring new methodologies
. The ideal candidate has demonstrated experience in topics such as Bayesian inference, non‑parametric interval calculation, combinatorics, Markov Chains, design of experiments, and time‑series analysis
, as well as a desire to learn and grow.

This team provides tremendous professional growth opportunities to improve your technical knowledge, hone your practical skills, and broaden your experience. We cultivate a collaborative and energetic workplace where members work together to attack challenges and provide practical, actionable products to our customers.

On‑site requirement at Wright‑Patterson Air Force Base, Dayton, Ohio.

Core Responsibilities
  • Provide statistical expertise to acquisition programs and research projects
    • Lead development of test strategies, technical test designs, and post‑test analysis
    • Employ and apply rigorous test design types such as design of experiments (DOE)
    • Engage and mentor program team members in statistical methods
  • Support special studies for topics of interest to leadership such as
    • Metrics for using artificial intelligence and machine learning
    • Employing quantitative methods to validate models and simulations
    • Methodical approaches to cyber‑physical systems
    • Rigorous methods applied to testing autonomous systems
  • Communicate solutions to leadership orally and in writing
  • Author best practices and case studies for community use
    • These are posted t.edu/stat
  • Bachelor’s degree in engineering, statistics, applied math, operations research, or similar
  • 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD in related field; or High School Diploma or equivalent and 9 years relevant experience.
  • 3 years practical statistical experience in industry or academia
  • Ability to…
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