> Markdown version of [/jobs/ext/1338022-data-scientist-sme-ts-sci-with-polygraph-required](https://www.wearedevelopers.com/jobs/ext/1338022-data-scientist-sme-ts-sci-with-polygraph-required). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (SME) - TS/SCI with Polygraph Required - **Company:** LMI - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $104,040.0 - $183,600.0 - **Contract:** Permanent contract - **Skills:** Confluence, JIRA, Bash Shell, Cloud Computing Security, Software Documentation, Cyber Security, Computational Biology, Information Systems, Computer Programming, Databases, System Configuration, Information Engineering, Linux, Human-Computer Interaction, Information Systems Security Architecture Professional, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Natural Language Processing, Neo4j, NoSQL, Open Source Technology, Parsing, Commercial Software, Software Engineering, SQL Databases, Unstructured Data, WordPress, Jupyter Notebook, Software Repository, Data Ingestion, Git, Information Technology, Data Analytics, Apache Nifi, Kibana, Restful APIs, Data Pipelines, Microservices - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7adad4bf433e2c77 ## About the Role * Bachelor's Degree in a quantitative discipline (e.g., related discipline) * Minimum 6-8 years experience * Demonstrated experience programming with Python. * Demonstrated experience with general Linux computing and advanced bash scripting. * Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, 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. * Must possess TS/SCI with polygraph., * Demonstrated experience with system configurations, development and design, specifically around enterprise systems. * Demonstrated experience communicating both verbally and in writing, when responding to emails, telephone calls and/or in person inquiries from organizational personnel. * Certification: + ISACA Certified Information Security Manager (CISM) + ISACA Certified Information Systems Auditor (CISA) + ISC Certified Information Systems Security Professional (CISSP) + ISC Certified Cloud Security Professional (CCSP) + ISC Certified Authorization Professional (CAP) ## Description * Work with a project-based team comprised of staff and other contractors. * Work closely with the Sponsor to review and track data science requirements and provide regular status updates. * Consult with customers to determine present and future user needs for Sponsor consideration. * Utilize project management systems such as a Content Management System (CMS) (e.g. Wordpress), Confluence and JIRA to define and track requirements. * Engage frequently with customers and stakeholders to clearly explain the project status and results in both written and verbal or multimedia briefings. * Provide traceability within program documents and the overall computing environment and architecture. * Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor. * Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard. * Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. * Clean, parse and transform data from multiple file types into appropriate database architecture (e.g. SQL, noSQL, graph) which performs at scale. * Develop self-guided training curriculum which includes detailed Jupyter Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software. * Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices. ## Related Videos - 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