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Data Scientist - Clearance Required

Logistics Management Institute logo

Location
United States
Logistics Management Institute

Job Description

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.

Advice from our career coach

As someone interested in the Data Scientist position at LMI, it is important to highlight your experience and skills relevant to supply chain and logistics data analysis. To stand out as an applicant, consider the following tips:

  • Demonstrate your experience with developing automated data analysis workflows for logistics and supply chain planning teams.
  • Showcase your proficiency in implementing data extraction, cleaning, and integration processes for logistics data optimization.
  • Highlight your ability to lead small teams in creating ETL pipelines from various logistics data sources.
  • Emphasize your expertise in advanced statistical and machine learning techniques for extracting insights from supply chain data.
  • Showcase your experience in developing and maintaining data for supply chain network visibility, reporting, and analysis.
  • Highlight your skills in implementing logistics systems data quality control processes through programming languages like VBA, Python, or LabVIEW.
  • Ensure to mention your bachelor's degree in a quantitative field and at least 3 years of experience in applying data science/analytics in a logistics/supply environment.
  • Showcase your experience with developing interactive data visualizations with tools like Qlik, Power BI, Tableau, Dash, or Shiny.
  • Highlight your familiarity with cloud computing platforms, data warehousing, and database management.
  • Clearly state any familiarity with government logistics or defense agencies as a plus.
  • Ensure you meet the requirement of having an active security clearance at the SECRET level and being a US citizen.

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