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.

LMI is seeking a data-driven, highly analytic mind for a data scientist position in the Joint Distribution Process Analysis Center (JDPAC) at USTRANSCOM with a mission to provide analysis and engineering support to improve the nation's ability to move and sustain our forces throughout the globe. This position will work on the Enterprise Data Sciences team to provide statistical and modeling support to multiple simultaneous projects covering a wide range of operational and business needs for the command. The qualified applicant will assist the USTRANSCOM Senior Data Scientist in transforming the enterprise advanced analytic approaches and data management.

• Key Responsibilities:

  • Collect and/or gather large sets of data and apply advanced techniques to ensure the data is reliable and of high quality for the targeted purpose.
  • Interpret large amounts of data with advanced approaches using sophisticated analytical and data visualization software or tools to discover patterns of the data.
  • Research and develop statistical learning models for complex data problems to identify opportunities through various advanced statistical, mining, algorithmic, and visualization techniques or more advanced methods such as artificial intelligence and machine learning.
  • Develop iterative process to maintain quality and performance of statistical models and quickly identify enhancements opportunities.

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science, Data Science, Data analytics, STEM, or related quantitative field with 3 years of experience or MS +1 years of experience or PhD.
• At least 1+ years of experience using tools such as R, Python, SQL, Matlab, SPSS, SAS, etc.
• Active DOD Secret Clearance.
• Working knowledge of business statistics and analytical methods, e.g. decision trees, regression modeling, machine learning, etc.
• Must enjoy working in a team environment with frequent customer contact and have excellent oral communication and interpersonal skills.
• Demonstrated skills in solving problems, troubleshooting, and responsibility for ensuring customer satisfaction.
• Proven experience effectively prioritizing workload to meet deadlines and work objectives.
• This position requires an active security clearance at the Secret level. You must be a US citizen.

DESIRED SKILLS

• 3-5 years’ experience in an enterprise data science or statistical data analytics role.
• Working knowledge of Big Data environments.

The target salary range for this position is $130,000-$170,000. 

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.