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Data Science Military Jobs in Indiana (NOW HIRING)

Qualifications: • 3+ years of experience in data science, business intelligence or a related ... military or veteran status, citizenship status, genetic information, or any other basis protected ...

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Data Science Military information

See Indiana salary details

$21.6K

$101.9K

$191.7K

How much do data science military jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science military in Indiana is $101,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,746.00 and $144,364.00 per year, depending on experience, location, and employer.

What types of projects or data sets do Data Science Military professionals typically work with?

Data Science Military professionals often work with diverse and sensitive data sets, including intelligence reports, geospatial imagery, sensor outputs, and operational logistics. Projects may involve predictive analytics for mission planning, anomaly detection in cybersecurity, or optimization of supply chains and resource allocation. Collaboration with analysts, intelligence officers, and IT specialists is common, ensuring that insights are both actionable and secure. The dynamic and mission-focused environment requires adaptability and a strong sense of responsibility to national security objectives.

What is a Data Science Military job?

A Data Science Military job involves using data analytics, machine learning, and artificial intelligence to support defense operations, intelligence analysis, and mission planning. Professionals in this field work with large datasets to identify patterns, enhance decision-making, and improve operational efficiency. They may develop predictive models, optimize logistics, or analyze cybersecurity threats. These roles exist across various military branches and defense agencies, requiring expertise in data science, programming, and domain-specific knowledge.

What are the key skills and qualifications needed to thrive in the Data Science Military position, and why are they important?

To thrive in a Data Science Military role, a strong background in statistics, machine learning, data analysis, and a relevant STEM degree or advanced clearance is essential. Experience with programming languages such as Python or R, familiarity with military-specific data systems, and certifications like CompTIA Security+ or CISSP are highly valued. Analytical thinking, adaptability, effective communication, and the ability to work in high-pressure or classified environments set top candidates apart. These qualities are crucial for securely transforming complex data into actionable intelligence to support military operations and decision-making.

What are the most commonly searched types of Data Science Military jobs in Indiana? The most popular types of Data Science Military jobs in Indiana are:
What are popular job titles related to Data Science Military jobs in Indiana? For Data Science Military jobs in Indiana, the most frequently searched job titles are:
Infographic showing various Data Science Military job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,861 per year, or $49 per hour.
Scientist I , Radiochemistry - Indianapolis IN

Scientist I , Radiochemistry - Indianapolis IN

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Indianapolis, IN

Other

Posted 22 days ago


Job description

 

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is On-Site at the location detailed in the job post.
Summary
The Scientist I, Radiochemistry - Isotope Production will be responsible for taking a lead technical role in both R&D radiochemical and analytical methods supporting various isotope programs at RayzeBio. The Scientist's role will be to support the development, optimization, and scale-up of radiochemical processes to produce Actinium-225 through cyclotron irradiation of Radium-226 targets. This role will focus on radiochemical separations, process engineering, automation, and manufacturing readiness associated with alpha-emitting isotopes. This individual will play a key role in translating laboratory-scale concepts into robust, scalable production processes suitable for implementation in shielded hot cells and GMP manufacturing facilities. Additional responsibilities may be assigned as required to bring technical expertise to RayzeBio initiatives.
Job Responsibilities
Essential duties and responsibilities include the following.  Other duties may be assigned.
Design, execute, and optimize radiochemical processes associated with the production, purification, and recovery of Actinium-225 and related isotopes.
Develop and implement separation and purification methods using chromatography, precipitation, solvent extraction, and other radiochemical techniques.
Support process scale-up from benchtop experiments to shielded hot cell operations.
Perform hands-on work with radioactive materials, including alpha-emitting isotopes, while maintaining strict adherence to radiological safety practices.
Develop process flow diagrams, equipment specifications, operating procedures, and technical reports.
Collaborate with engineering teams on process equipment design, automation systems, shielding requirements, and facility integration.
Participate in target processing development, radionuclide recovery strategies, waste minimization efforts, and process troubleshooting.
Evaluate emerging technologies and scientific literature to improve isotope production efficiency, reliability, and throughput.
Generate and analyze experimental data using statistical and scientific methods to guide process decisions.
Support technology transfer activities into manufacturing environments.
Uses AI tools to enhance individual productivity and quality of work
Contribute to regulatory documentation, safety reviews, and manufacturing readiness assessments as needed.
Mentor junior scientists and technicians while promoting a culture of scientific rigor and operational excellence.
Less than 5% of travel is required