Data Scientist - Clearance Required

Dayton, OH, United States

Logistics Management Institute

With a legacy of solving the government’s most complex challenges and an outcome-driven model to execute above expectation, LMI transforms missions with solutions that define the new speed of possible.

View company page

Overview

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.

 

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

Responsibilities

  • 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)

Qualifications

  • 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 BI, 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.
  • Familiarity with government logistics or defense agencies is a plus.
  • Superior communication skills, both oral and written
  • This position requires an active security clearance at the SECRET level. You must be a US citizen.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data analysis Data quality Data Warehousing Engineering ETL Industrial Machine Learning Mathematics Pipelines Power BI Python Qlik Research Security Statistics Tableau

Regions: Remote/Anywhere North America
Country: United States
Job stats:  6  0  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.