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# Data Scientist (Senior)

- **Company:** Cintel Inc
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Simulation, Computer Programming, Data Visualization, R (Programming Language), Python (Programming Language), MATLAB, Scientific Computating, Information Technology, Modeling and Simulation, Data Analytics
- **Published:** October 29, 2026
- **Apply:** https://www.dice.com/job-detail/881c6eaa-a422-4038-b049-09ad5b03f41d

## About the Role

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

CULTURE REQUIREMENTS:

 * Engineers, Analysts, and Developers atCintel, 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'llfit right in.

## Description

We are seeking a Data Scientist (Senior) to support complex scientific and technical efforts through the application of data science, statistics, modeling, and computational methods. This position will emphasize scientific problem-solving, research, modeling, and experimentation rather than traditional data visualization and business analytics., * Apply data science, statistical, and computational methods to complex scientific and technical problems.

 * Develop and validate statistical, predictive, and scientific models.
 * Analyze complex datasets to support research, experimentation, and technical decision-making.
 * Support modeling and simulation efforts and scientific research activities.
 * Develop data-driven methodologies and algorithms to address technical challenges.
 * Collaborate with scientists, engineers, analysts, and other technical personnel.
 * Document technical approaches, methodologies, findings, and results.
 * Provide technical guidance and mentorship to junior team members.