Data Scientist - TS/SCI with Polygraph Required at LMI in McLean, VA

Overview:

LMI is seeking a Data Scientist to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission. 

 

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.

Responsibilities:

• Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala); 
• Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges; 

• Query databases using SQL with structured data and perform statistical analysis; 
• Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and 
• Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations. 
• Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools; 
• Think strategically about how to publish data visualizations and present analytic results; 

• Support business decisions with ad hoc analysis; 

Qualifications:

• 3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community. 
• 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory. 
• 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods. 

• Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization. 
• Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products. 
• Active TS/SCI with polygraph required. 

 

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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.