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# Data Scientist - Largo, MD

- **Company:** Graham Technologies
- **Location:** Largo, MD, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing Security, Data Governance, Data Visualization, Relational Databases, DevOps, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Power BI, SciPy, SQL Databases, Tableau (Software), Unstructured Data, Feature Engineering, Apache Spark, Model Validation, Electronic Medical Records, Pandas, Matplotlib, Scikit Learn, Data Analytics, Plotly, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9136920/data-scientist-largo-md

## About the Role

* Active Q or TS Clearance
 * 5+ years of professional experience in data science, analytics, or applied statistics
 * Strong proficiency in Python and common data science libraries (NumPy, Pandas, SciPy, Scikit-learn)
 * Experience developing SQL queries and working with relational databases
 * Experience supporting IC or DoD customers
 * Experience with big data platforms (Spark, Hadoop, EMR)
 * Knowledge of data visualization tools (Tableau, Power BI, matplotlib, Plotly)
 * Strong communication skills and ability to brief findings to cleared stakeholders

Desired Skills:

 * Familiarity with AWS, Azure, or on-prem secure cloud environments
 * Familiarity with DevOps practices and CI/CD pipelines
 * Familiarity with security and compliance frameworks (NIST 800-53, RMF, FedRAMP)

## Description

* ­ Apply statistical analysis, machine learning, and data science techniques to large, complex datasets in support of federal missions
 * ­ Design, develop, and deploy predictive and prescriptive analytics models
 * ­ Perform data exploration, feature engineering, and model validation
 * ­ Develop data pipelines for ingesting, cleaning, transforming, and enriching structured and unstructured data
 * ­ Collaborate with engineers, analysts, and mission stakeholders to translate operational needs into analytics solutions
 * ­ Develop custom analytics and visualizations to communicate insights to technical and non-technical audiences
 * ­ Support model deployment, monitoring, and lifecycle management in production environments
 * ­ Ensure solutions comply with security, data governance, and compliance requirements
 * ­ Document methodologies, assumptions, and results to support repeatability and accreditation


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