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# Senior/Principal Data Scientist

- **Company:** Codescratch LLC
- **Location:** Columbia, MD, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Amazon Web Services, Ubuntu (Operating System), CentOS, Network Analysis, Configuration Management, Data Files, Data Infrastructure, Data Stores, Linux, Intelligence Analysis, Python (Programming Language), Machine Learning, Red Hat Enterprise Linux, SQL Databases, Jupyter Notebook, Virtual Environment, Kubernetes, Cyber Warfare, Cisco, Docker
- **Published:** August 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9068040/seniorprincipal-data-scientist

## About the Role

Codescratch is currently seeking a self-motivated and talented Senior Data Scientist (DCO) to perform and utilize statistics, machine learning, and analytic approaches to answer key intelligence questions. Join our team to contribute to innovative engineering projects, producing re-usable products that provide real value to Intelligence Analysts. This position is ideal for individuals who are passionate about identifying hidden patterns, building automated anomaly detection systems, and evaluating statistical models in a collaborative, mission-critical environment.

The ideal candidate will be an experienced Data Scientist with a strong foundation in Defensive Cyber Operations, machine learning techniques, Python, Docker, and Kubernetes. Collaboration and innovation are at the core of this role, requiring a proactive approach to problem-solving and continuous tradecraft research., Active TS/SCI clearance with Polygraph required.U.S. citizenship required.
Bachelor's degree in a relevant field and 8+ years of experience (an advanced degree will be considered in lieu of years of experience).
Proficient in Python.Experience with Docker and Kubernetes.Experience with end-to-end workflows/projects.3+ years of Defensive Cyber Operations (DCO) experience.
3+ years of Machine Learning techniques and statistical model evaluation.

Preferred Skills and Experience:

Master's degree in a relevant field and 4+ years of experience.
Demonstrated expertise with R or Python, and SQL to manipulate data and draw insights from large and small data sets.
Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA, Big Data Platform (BDP).
Strong background and skills in Linux (Ubuntu, CentOS, RHEL), Windows, and virtual environments.
A problem solver who can get in, be given a project, and use engineering skills to determine a solution.
Experience with Jupyter Notebooks and Network Analysis Tools.

## Description

Perform and utilize statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Intelligence Analysts.Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, and periodically re-evaluate and refine machine learning models being used in production.Curate and collect data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data
accuracy.Work with analysts to interpret analytic results and refine analysis as needed.Effectively communicate results and ideas to key decision makers, analysts, and other stakeholders, providing information as appropriate.Perform documentation of all processes, models, and activities by developing, documenting, and implementing a configuration management plan for data sets.Research the latest data science tradecraft and technology.


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