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Data Scientist - Clearance RequiredLMI Consulting, LLC • Colorado Springs, Colorado, United States
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Data Scientist - Clearance Required

LMI Consulting, LLC
  • US
    Colorado Springs, Colorado, United States
  • US
    Colorado Springs, Colorado, United States
Postuler Maintenant

À propos

Data Scientist - Clearance Required
Job Locations
US-CO-Colorado Springs
Job ID
2026-14034
# of Openings
1
Benefit Type
Salaried High Fringe/Full-Time
Overview
LMI is seeking a Data Scientist to support advanced analytical efforts focused on future space architectures, including sustained space maneuver and resilient orbital operations. In this role, you will develop and apply quantitative methods, statistical models, and data-driven techniques to analyze outputs from modeling, simulation, and trade studies. You will work closely with analysts, software developers, and systems engineers to transform large volumes of simulation and scenario data into insightful, decision-relevant results that inform force design and capability development. This position is ideal for a data scientist who thrives in analytically complex, low-data, high-uncertainty environments, and who is comfortable working with both structured and exploratory analytical problems.
This is an on-site role in Colorado Springs, CO.
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.
Responsibilities
Responsibilities
Develop and apply statistical, mathematical, and computational methods to analyze modeling and simulation outputs Support execution of trade studies and design-of-experiments approaches, including parameter sweeps and sensitivity analysis Process and analyze large-scale simulation datasets, identifying key drivers, trends, and relationships Develop models to support uncertainty quantification, risk analysis, and performance assessment Collaborate with trade space analysts to ensure analytical methods align with study objectives and decision needs Work with backend developers to integrate analytical workflows into RAPTR and related platforms Develop data pipelines and scripts to support repeatable and scalable analysis Visualize analytical results and communicate findings to both technical and non-technical stakeholders Contribute to technical reports, briefings, and recommendations supporting force design and architecture evaluation Explore advanced analytical techniques (e.g., surrogate modeling, optimization methods, or machine learning) where appropriate
Qualifications
Required Qualifications
Bachelor's degree in Data Science, Operations Research, Applied Mathematics, Physics, Computer Science, or a related quantitative field 5+ years of experience in data science, quantitative analysis, or modeling & simulation environments Strong proficiency in Python (preferred) or similar analytical programming languages Experience with statistical analysis, including regression, hypothesis testing, and multivariate analysis Experience working with simulation or experimental data Familiarity with data analysis libraries such as NumPy, Pandas, and SciPy Experience designing and executing data-driven analytical workflows Ability to operate in loosely defined problem spaces and adapt analytical approaches as needed Strong problem-solving and critical thinking skills Excellent communication and collaboration skills
Preferred Qualifications
Experience supporting modeling & simulation, wargaming, or defense-related analytical efforts Familiarity with design of experiments (DOE), optimization techniques, or Monte Carlo methods Experience developing surrogate models or reduced-order models for complex simulations Exposure to space domain problems (e.g., orbital systems, satellite operations, mission analysis) Experience with data visualization tools such as Matplotlib, Plotly, or similar Familiarity with cloud-based or distributed computing environments Advanced degree (M.S. or Ph.D.) in a relevant quantitative field Active TS/SCI clearance
Security Clearance Requirements Candidate must be eligible to obtain a TS/SCI clearance and willingness to obtain a CI Poly. Candidates with an active TS/SCI or TS with SCI eligibility will be given preference.
Target salary range: $111,426 - $192,890
Disclaimer: 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.
#LI-SH1
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.
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  • Colorado Springs, Colorado, United States

Compétences linguistiques

  • English
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