Data Scientist

CLEARANCE REQUIRED FOR START:
Yes

CLEARANCE TYPE:
Top Secret with SCI Eligibility

LOCATION:

Pentagon - Arlington, VA (Onsite)

Nortex Cyber Solutions is seeking an experienced Senior Data Scientist to support mission-critical data analytics, modeling, and integration efforts within the Department of Defense (DoD). This position will work with complex structured and unstructured datasets to develop analytical solutions, improve data accessibility, and support informed decision-making.

The ideal candidate will have a strong background in data science, machine learning, and data engineering, with hands‑on experience using Databricks and Palantir Foundry. This role requires strong problem‑solving skills, attention to detail, and the ability to work independently and collaboratively in a secure, mission‑focused environment.

• Collect, explore, clean, transform, and analyze structured and unstructured data to identify trends, patterns, and actionable insights.
• Develop, implement, and evaluate statistical analyses, predictive models, and machine learning solutions to support operational and mission requirements.
• Apply natural language processing (NLP), text mining, and other advanced analytical techniques to extract meaningful information from complex datasets.
• Design, develop, maintain, and optimize scalable data pipelines and workflows using Databricks and Palantir Foundry.
• Develop data processing and integration solutions using Python, PySpark, SQL, and Delta Lake.
• Integrate data from REST APIs and external systems using secure authentication methods, including OAuth 2.0 and certificate‑based authentication.
• Develop and maintain data models, Ontology objects, and analytical applications within Palantir Foundry.
• Create dashboards, reports, and visualizations to communicate analytical findings to technical and nontechnical stakeholders.
• Support data storage, access management, and integration within AWS environments, including S3 and IAM.
• Apply software development best practices, including version control, code reviews, automated testing, and CI/CD using Git Lab.
• Collaborate with data engineers, software developers, analysts, and government stakeholders to translate mission requirements into technical solutions.
• Ensure data quality, integrity, traceability, and compliance with applicable security and data governance requirements.
• Develop and maintain technical documentation for data pipelines, analytical models, processes, and solutions.
• Identify opportunities to improve data processing efficiency, automate workflows, and enhance existing analytical capabilities.

• Strong proficiency in Python, including pandas and PySpark, and SQL.
• Experience with data exploration, cleansing, analysis, and visualization across structured and unstructured datasets.
• Ability to develop quantitative analyses, predictive models, and analytical solutions.
• Hands‑on experience applying natural language processing, text mining, or machine learning techniques.
• Production experience with Databricks, including notebooks, jobs, workflows, Delta Lake, and secrets management.
• Production experience with Palantir Foundry, including Code Repositories or Pipeline Builder, Ontology, and Workshop.
• Experience integrating data through REST APIs using OAuth 2.0 or certificate‑based authentication.
• Working knowledge of AWS cloud services, particularly S3 and IAM.
• Experience with Git‑based development and CI/CD practices, preferably using Git Lab.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Ability to communicate complex technical information clearly and collaborate with cross‑functional teams.
• Strong organizational skills and attention to detail, particularly when working with sensitive or classified…