Data Scientist

Mc Lean, United States | Posted on 01/06/2026

• Level of Position Senior-level (6-10 years)
• Job Type Full time
• Clearance TS/SCI Full Scope Polygraph
• Country United States

The Sponsor providestraining, tradecraft guidance and tools for the data science workforce thatimprove the reuse of successful data science methods. The Sponsor’s officecompletes short-term prioritized data science projects, which requireprogrammatic and technical support. The work is performed within a team environment and requires constant iteration with stakeholders to provide services and tools. Work will include development and maintenance of training,publication and coordination of tradecraft guidelines and services as well as development of programming packages and data services to support cross-enterprise needs.

Work will include high technical skill in programmingas well as high levels of collaboration, communication and requirements solicitation.

Mandatory Requirements:

• Candidate must have an active TS/SCI with a Polygraph
• Bachelor’s Degree in Computer Science, Information Technology, or other related technical discipline, or the equivalent combination of education, technical training, or work/military experience
• Minimum five (5) years or relevant degree plus five (5) years of demonstrated cybersecurity expertise
• Demonstrated experience with data engineering,to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
• Demonstrated experience with data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources.
• Demonstrated work experience programming with Python
• Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics.
• Demonstrated experience with general Linux computing and advanced bash scripting
• Demonstrated experience with SQL.
• Demonstrated experience constructing complex multi-data source queries with database technologies such as Postgre
  
  SQL, MySQL, Neo4J or RDS
• Demonstrated experience processing data sources containing structured or unstructured data
• Demonstrated experience developing data pipelines with NiFi to bring data into a central environment
• Demonstrated experience delivering results to stakeholders through written documentation and oral briefings
• Demonstrated experience using code repositories such as Git
• Demonstrated experience using Elastic and Kibana technologies
• Demonstrated experience working with multiple stakeholders
• Demonstrated experience documenting such artifacts as code, Python packages and methodologies
• Demonstrated experience using Jupyter Notebooks
• Demonstrated experience with machine learning techniques including natural language processing
• Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
• Demonstrated experience developing tested, reusable and reproducible work
• Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics

• Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture.
• Demonstrated experience using big data processing tools such as Apache Spark or Trino
• Demonstrated experience with machine learning algorithms
• Demonstrated experience with using container frameworks such as Docker or Kubernetes
• Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset
• Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields