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Data Science Military Jobs in Ohio (NOW HIRING)

We are a government contracting and consulting firm supporting several military installations and ... Science, Operations Research, or another similar degree. Demonstrate strong knowledge of data ...

We are a government contracting and consulting firm supporting several military installations and ... Science, Operations Research, or another similar degree. Demonstrate strong knowledge of data ...

... science and engineering, occupational health and safety, medical professions, technicians ... Experienced in utilizing and integrating data from various health and military-relevant systems ...

... science and engineering, occupational health and safety, medical professions, technicians ... Experienced in utilizing and integrating data from various health and military-relevant systems ...

... military, civilian and Contractor personnel encompassing 75 occupational specialties including ... science and engineering, occupational health and safety, medical professions, technicians ...

Showing results 21-40

Data Science Military information

See Ohio salary details

$21K

$99.3K

$186.9K

How much do data science military jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science military in Ohio is $99,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,534.00 and $140,774.00 per year, depending on experience, location, and employer.

What is a Data Science Military?

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?

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 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 are the most commonly searched types of Data Science Military jobs in Ohio?

The most popular types of Data Science Military jobs in Ohio are:

Infographic showing various Data Science Military job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $99,328 per year, or $47.8 per hour.

Applied ML Scientist - Active Learning

Hexion, Inc.

Columbus, OH • On-site

Full-time

Re-posted 8 days ago


Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

74th of 102 rated chemical manufacturers


Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Job Responsibilities
  • Lead the design and execution of optimization and active-learning campaigns across chemistry, formulation, and process development.
  • Collaborate with R&D and manufacturing on framing optimization problems with design spaces, decision variables, objectives, and hard and soft constraints.
  • Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints.
  • Select and maintain surrogate models for acquisition, using model uncertainty to drive the search and respecting each model's domain of validity.
  • Drive closed-loop optimization that connects surrogate models to experimentation, with emphasis on decision quality, exploration versus exploitation, and actionable recommendations.
  • Partner with ML engineers, software engineers, and process engineers to deploy and monitor optimization systems.
  • Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance optimization.
  • Communicate methods, results, and their limitations clearly to technical and non-technical audiences.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or optimization experience for chemistry, formulation, process, or manufacturing problems.
  • 7+ years experience.
  • Demonstrated expertise in Bayesian optimization and Gaussian processes, including kernels, acquisition functions, and batch, multi-objective, and constrained settings.
  • Experience designing and running experiment campaigns or closed-loop optimization.
  • Experience in applied statistics and uncertainty quantification, with emphasis on calibrated posteriors that drive acquisition.
  • Strong Python skills and experience with mainstream Python-based ML and Bayesian optimization frameworks and tools.
  • Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.
  • Strong communication, collaboration, and stakeholder management skills for working with R&D, manufacturing, and business teams.

Preferred Qualifications
  • Master's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field.
  • Experience with active learning and physics-informed approaches for optimization in chemical synthesis, formulation, or process development.
  • Experience working with manufacturing, process, quality, or plant data, including issues such as batch-to-batch variability, raw-material variability, model drift, and changing operating conditions.
  • Familiar with ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.
  • Knowledge of chemistry ML core areas such as cheminformatics, molecular representation, predictive modeling, and chemistry foundation models.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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