Data Scientist - TS/SCI with Polygraph Required

Logistics Management Institute

1d•Onsite

About The Position

LMI is seeking a Data Scientist to support our Intelligence Community client. 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. This position requires you to be on site 5 days a week at Joint Base Anacostia-Bolling (JBAB). This position requires an active TS/SCI clearance with polygraph.

Requirements

Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
Minimum 5 years in data analytics or related.
Experience working with programming languages like SQL (SQL required, python preferred).
Active TS/SCI required.
CI Polygraph is required for the position; candidates without a current polygraph will be sponsored for upgrade.
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.

Nice To Haves

Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
Self-starter with the vision to independently identify opportunities for improvement through data analytics.
A true team player who maintains a positive attitude in a dynamic environment.
Excellent communication skills, written and oral.
Proven ability to work with business customers and technical teams.
Highly organized and able to manage multiple projects simultaneously.
Excellent customer relationship management skills.
Innovative problem-solving skills and ability to thrive in a fast-paced environment.
Ability to work on client site in either Reston, VA or Washington, D.C.
Master’s degree or higher.
Advanced knowledge of SQL or Python.
Experience using python libraries to build regression models and decision trees.
Experience with version control software like Git.
Management consulting experience desired.
Experience working with unstructured text and natural language processing.
Experience with deploying and maintaining models in production.
Previous experience with people analytics.

Responsibilities

Responsible for providing advanced data analytics and strategic workforce planning via on-demand, intuitive web-based capabilities and reporting.
Maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations.
Engage technical and functional program SMEs and key data stakeholders to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results.
Understand and analyze complex and organization-specific datasets.
Define and develop techniques to integrate, consolidate, and structure data for analytical use.
Support the maturation of data quality.
Support the transformation of businesses process through automation.
Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
Collaborate with the team internal and external timely and proactively.
Provide regular detailed reporting to management and customers.
Develop briefing packages to communicate complex ideas to non-technical customers.
Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers.