LMI is seeking a supply and logistics focused Data Scientist to support a federal program management office in Dayton, OH. This position can be part time to full time focused on innovating legacy analysis tools to modern interfaces and creating a customer centered data and analysis service. The role can be fully remote, although local hires to the Dayton, OH area should expect a hybrid arrangement.

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.  

• Develop automated data analysis workflows to increase productivity for logistics and supply chain planning teams.
• Implement data extraction, cleaning, and integration processes to provide up-to-date logistics data for optimization models and decisions support applications.
• Lead small teams in creating ETL pipelines from various logistics data sources.
• Utilize advanced statistical and machine learning techniques (e.g., forecasting, optimization, predictive analytics) to extract insights from logistics and supply chain data.
• Develop and maintain data to enable supply chain network visibility, reporting and analysis.
• Implement logistics systems data quality control processes through programming (e.g., VBA, Python, LabVIEW)
• Identify and address data quality issues and discrepancies.
• Processing, cleansing, and verifying the integrity of data to ensure accurate analysis

Required

• Bachelor's degree in a quantitative field such as Operations Research, Industrial Engineering, Supply Chain Management, Mathematics, Statistics, or a related discipline.
• 3+ years of demonstrated experience applying data science/analytics in a logistics/supply environment.
• Experience developing interactive data visualizations (e.g. Qlik, Power Platforms, Tableau, Dash, Shiny).
• Strong background in statistical analysis, forecasting and operations research techniques.
• Experience working with complex supply chain datasets like order management, inventory etc.
• Familiarity with cloud computing platforms, data warehousing, and database management.
• Excellent problem-solving, critical thinking skills, and a strong attention to detail
• Outstanding communication skills – both verbal and written.
• Ability to adapt to changing supply chain priorities and disruptions.
• Superior communication skills, both oral and written
• This position requires an active security clearance at the SECRET level. You must be a US citizen.

Desired

• Master's degree in a quantitative field such as Operations Research, Industrial Engineering, Supply Chain Management, Mathematics, Statistics, or a related discipline.
• 6+ years of demonstrated experience applying data science/analytics in a logistics/supply environment.
• Familiarity with government logistics or defense agencies.

Disclaimer: $92,075.4 - $158,138.39

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.

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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.