Data Scientist (SME) - TS/SCI with Polygraph Required

Data Scientist (SME) - TS/SCI with Polygraph Required

Job Locations


US-VA-McLean

Job ID


2026-13795

# of Openings


1

Category


Intelligence

Benefit Type


Salaried High Fringe/Full-Time

Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor.

Responsibilities

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.

Qualifications

Required

• 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.

Desired

• 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)

#LI-SH1

Target salary range: $104,040 - $183,600. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact View email address on click.appcast.io
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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