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# Data Scientist Mid

- **Company:** Cintel Inc
- **Location:** Redstone Arsenal, AL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Simulation, Computer Programming, Data Visualization, R (Programming Language), Python (Programming Language), MATLAB, Scientific Computating, Information Technology, Data Analytics
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/12d822c2-e4d2-4fe7-b122-627afd4f4cd0

## About the Role

* Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a physical science, or related field.
 * 6+ years of relevant professional experience.
 * Active Top Secret security clearance.
 * Strong background in data science, statistics, scientific computing, modeling, or a related technical discipline.
 * Experience with Python, R, MATLAB, or similar programming/data science tools.
 * Strong analytical and problem-solving skills.
 * Ability to work independently and as part of a technical team.

CULTURE REQUIREMENTS:

 * Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self-organized. We place a lot of trust in our team members to develop technical solutions for ill-defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers.
 * We want our team members to be self-motivated and eager to learn new skills. If you consider yourself a jack-of-all-trades, and are eager to keep up with the latest trends in technology, you'll fit right in.

## Description

We are seeking a Mid-Level Data Scientist to support scientific and technical efforts through the application of data science, statistical methods, modeling, and computational techniques. This role will focus more heavily on scientific problem-solving, experimentation, and developing data-driven solutions than traditional data visualization or business analytics., * Apply data science, statistical, and computational methods to complex scientific and technical problems.

 * Develop and implement analytical models, algorithms, and data-driven methodologies.
 * Analyze and interpret complex datasets to identify patterns, relationships, and insights.
 * Support scientific research, experimentation, modeling, and simulation efforts.
 * Develop and validate predictive or statistical models.
 * Work with cross-functional teams to translate scientific and technical requirements into data-driven solutions.
 * Document methodologies, results, and technical findings.


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