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Data Analyst/Scientist (ES4)

Epsilon Systems Solutions

Wright-Patterson AFB, OHJobSeen 6 days agoSeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Wright-Patterson AFB, OH
Work Authorization
US work authorization required

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Requirements

Credentials this posting asks for.

TS/SCI clearanceBachelor's degree

Job overview

The Data Analyst/Scientist provides analytical support for NASIC, focusing on long-term trends and campaign planning related to unmanned aerial systems. The role uses programming and data science methods to analyze large datasets, automate workflows, and produce reports, databases, and dashboards for operational decisions and capability assessments. Work is performed onsite in the Dayton, Ohio area, and the posting seeks an active TS/SCI clearance.

Skills & qualifications

RequiredNice to have

Skills

PythonRSQLMATLABCSVJSONTXTAPIsETLStatistical ModelingData VisualizationGeospatial AnalysisTime-Series ForecastingMISTFADEThresherExcelPandasNumPyUnmanned Aerial SystemsINDOPACOMEUCOMCENTCOMIndependent WorkTeamworkOral CommunicationWritten CommunicationProblem SolvingCritical Thinking

Qualifications

10+ Years Relevant ExperienceU.S. CitizenshipActive DoD Top Secret ClearanceActive TS/SCI ClearanceBachelor's in Electrical Engineering or Related

Full job description

Data Analyst/Scientist (ES4) Job ID: 2026-373 Date Posted: 2026-10-01T00:00:00 Location: Wright-Patterson AFB, Ohio Minimum Experience: 10 years Education: Master's Degree Epsilon C5I (www.epsilonsystems.com/c5i), a division of Epsilon Systems Solutions, is a 100 percent employee-owned company founded in 1998 with more than 20 locations serving the Department of Defense, Department of Energy, Department of Homeland Security, non-profit and commercial customers. The Dayton division has recently been named as one of only five prime awardees for the 10-year, $4.7 billion NOVASTAR contract supporting the National Air and Space Intelligence Center (NASIC), WPAFB, Ohio. The Dayton division is currently searching for a Data Analyst/Scientist (ES4). Candidate will provide in-depth analytical support for NASIC focusing on long-term trends and campaign planning. Additionally, the candidate shall leverage Python, R, SQL, and/or MATLAB to analyze large datasets, employing statistical modeling, data visualization, and forecasting. A key part of your role involves automating workflows with tools like MIST, Excel, Pandas, and NumPy, and developing scripts for efficient data handling. Your daily work will involve creating reports, databases, and interactive dashboards to inform operational decisions and capability assessments. Candidates must be able to work independently and as part of a technical team and have effective oral and written communication skills. Successful candidates will have strong problem solving and critical thinking skills. Most of the work supports the Scientific and Technical Intelligence community. This challenging position requires a diverse set of technical and task management skills and allows for the opportunity to contribute immediately to important, meaningful work. Desire an active TS/SCI clearance. Work is performed onsite in the Dayton, Ohio area. Duties and Responsibilities: • Needs to be able to collect, clean, preprocess, and consolidate unfiltered, unstructured datasets from data feeds such as MIST/FADE & thresher • Familiarity with csv, json, txt, APIs, Python, R, SQL, and MATLAB. • Experience with Application Programming Interfaces (APIs) and develop scripts or lightweight applications to streamline data extraction, transformation, and loading (ETL) processes. • Background knowledge on Unmanned Aerial Systems (UAS) (Bonus) • Background knowledge or experience primarily in INDOPACOM, but also EUCOM and CENTCOM AORs. • Provide in-depth analytical support for long-term trending assessments and production focused on Unmanned Aerial Systems (UAS) scenario-based campaign planning and execution. • Creating and executing data-driven analyses using advanced computational methods to identify trends, patterns, and strategic implications in UAS activity. • Utilizing data science tools and programming languages--- including but not limited to Python, R, SQL, and MATLAB---to collect, process, and analyze large structured and unstructured datasets. To include statistical modeling, data visualization, geospatial analysis, and time-series forecasting techniques. • Integrate and automate workflows utilizing IC tools such as the Multi-Intelligence Spatial Temporal Tool (MIST), and create custom analytics solutions leveraging Excel, Pandas, NumPy, and other data manipulation libraries. Required Qualifications: • Bachelor's degree in Electrical Engineering, Physical Sciences, Computer Engineering, Data Science, Computer Science, Software Engineering, or other closely related fields. • 10+ years of relevant experience in engineering, science, or mathematics. • Pursuant to the various government contractual requirements, all applicants must be U.S. Citizens. • Applicant must have an active DoD Top Secre

How this job compares

Set against the 4,971 open Data Analyst jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • Ohio median$86–142K/yr66 salary ranges
  • US median$29–36/hr370 hourly ranges
Openings
Olive Jobs lists 182 open Data Analyst jobs in Ohio and 4,971 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Ohio
Experience
This posting asks for at least 10 years of experience — more than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,673 postings).
Education
This posting asks for a bachelor's degree; 2,266 of the 4,971 open Data Analyst jobs (46%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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