LMI is seeking a Senior Data Science Consultant to lead in developing, testing, and fielding advanced algorithms in support of a supply chain risk program for the Department of Defense.

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.

• Leverage deep and broad knowledge of advanced data science concepts to streamline the curation and analysis of complex supply-chain data
• Use knowledge of advanced topics in data science, such as active learning, semi-supervised learning, bias calculation, etc.
• Write python, spark, and SQL code to prepare and analyze data in both research and production environments
• Work closely with data engineers, UI developers, and subject matter experts to develop and deploy data science methods in support of an evolving software suite
• Lead and execute on data science tasking in support of multiple teams, coordinating prioritization across them as needed
• Rapidly spin up on new data science topics and methods as they become applicable to the project
• Work comfortably in a Databricks environment, where most code is developed, tested, and deployed via notebooks
• Quickly learn, and be excited to leverage, novel data science techniques to solve real-world challenges involving large scale, often messy data sets

• Bachelor’s degree in Computer Science, Data Science, or related field and/or equivalent work experience
• 3-10 years of experience as a data scientist
• Experience with:
• Agile-based development
• Python, Spark, notebooks
• Data Bricks or similar environment
• Scikit-learn or similar python packages
• Highly effective analytical, conceptual, and problem-solving skills
• Active DoD Secret clearance required (Top Secret clearance desired)