We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results

Data Scientist - Clearance Required

LMI Consulting, LLC
United States, D.C., Washington
Nov 06, 2024

Data Scientist - Clearance Required
Job Locations

US-DC-Washington, DC


Job ID
2023-9492

# of Openings
3

Category
Data/Analytics



Overview

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers' unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

LMI is seeking a skilled Data Scientist at our headquarters office in Tysons, VA (telework allowed). Successful LMI Data Scientist demonstrate competency in building data analytics processes in multiple frameworks such as Modeling and Simulation (M&S) environments, and AI/ML algorithms, and communicating analysis results through informative reports, graphics, and visualizations. In addition, LMI Data Scientists have demonstrated experience in collaborating with other Data Scientist and with effective communication with clients.


Responsibilities

You will develop high end analytics and insight in support of our client's mission to support logistics and supply chain processes for the Department of Defense (DoD). Representative responsibilities:

    Collaborate with an integrated team of LMI Data Scientists to analyze, integrate, and transform large sets of data into simplified, meaningful, and actionable trends and visualizations.
  • Build models using ML, rule-based, or traditional statistical methods.
  • Contribute to the development and maintenance of LMI's logistics and supply simulation model.
  • Use data analytics to develop, populate, and analyze results of simulations and algorithms.
  • Understand business problems and opportunities in the context of the requirements and recommend solutions that enable achievement of reporting goals.


Qualifications

Required:

  • 3+ years of experience with C++ and Python coding languages
  • Proficient knowledge with Object-Oriented Programming (OOP) techniques.
  • Experience with version control software such as GIT.
  • Bachelor's degree in computer science, engineering, data science, operations research, physics, mathematics, or a related discipline required.
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics.
  • A true team player who maintains a positive attitude in a dynamic environment.
  • Demonstrated ability to understand technical concepts and structure research that simplify these concepts.
  • Current DoD Clearance.

Desired:

  • 5+ years of experience with C++ and Python coding languages
  • Experience with supply chain or logistics modeling
  • Master's Degree preferred


LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Need help finding the right job?

We can recommend jobs specifically for you!
Click here to get started.
Applied = 0

(web-69c66cf95d-dssp7)