Career Opportunities: Data Science AI/ML Co-op (Fall 2026) (76368) at Battelle
Columbus, OH
$20–$40/hrfrom the description
Jul 15, 2026
Columbus, OH
Jul 20, 2026
What this job asks for AI summary
A co-op placement within a cyber analytics team focused on microelectronics security, running across Spring and/or Summer 2026 in Columbus, OH. The work involves applying machine learning, data mining, and data engineering methods to problems around the trustworthiness of electronic devices, integrated circuits, and embedded systems. It suits students in data science, engineering, or related fields who have some programming experience and an interest in hardware security or applied machine learning.
Junior level · Columbus, OH · Secret clearance · Internship
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $110,324 (middle half $84,917–$146,605). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (11)
This is a co-op/internship role (Spring and/or Summer 2026), not a permanent hire — classified accordingly.
The role is listed as 100% onsite in Columbus, OH; the posting later mentions a hybrid 'Together with Flexibility' model, but that language appears to be boilerplate for the broader company and the specific position description explicitly states 100% onsite.
Clearance: the JD requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. The level is unspecified; Secret is the most common baseline for Battelle Cyber/National Security roles, but it could be higher — flagged as Secret conservatively.
Python, R, and MATLAB are listed as interchangeable options under Key Qualifications ('such as Python, R, or MATLAB'); Python is named first and is the most common in data science contexts.
Machine learning and statistical learning validation are listed as a single combined requirement in Key Qualifications; split into two skills to reflect both the modeling and validation aspects.
SQL/NoSQL and C/C++/C# appear under Preferred Qualifications and are therefore not hard gates.
The 'Interest in one or more of' areas (deep neural networks, signal processing, cryptography, etc.) are framed as interest areas rather than demonstrated skills, but are listed under Key Qualifications; captured as preferred given the 'interest in' framing rather than 'experience with'.
Preferred Qualifications items (reverse engineering, GitHub, CAD, FPGA, etc.) are not hard gates.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): reverse engineering.
Requires a Secret clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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