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Data Modeling Analyst - Clearance Required
Data Modeling Analyst - Clearance RequiredLMI Consulting, LLC • Tysons, VA, United States
Data Modeling Analyst - Clearance Required

Data Modeling Analyst - Clearance Required

LMI Consulting, LLC • Tysons, VA, United States
2 days ago
Job type
  • Full-time
Job description

Data Modeling Analyst - Clearance Required

Job Locations

US-VA-Tysons

Job ID

2025-13311

# of Openings

Category

Data / Analytics

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI is seeking a Data Scientist to support the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.

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 civilian 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

Collaborate actively within a team of data scientists to rapidly design and deploy machine learning meta models, capturing complex scenarios across an extensive array of weapon system components

  • Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs
  • Craft and deploy sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow
  • Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches
  • Advance the automation, efficiency, and precision of meta modeling and optimization solutions by contributing innovative approaches and enhancements
  • Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem
  • Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks
  • Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements
  • Engage with cutting-edge data science techniques to address complex, large-scale data challenges

Qualifications

  • Bachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience
  • 1-3 years' experience in a data science capacity
  • Experience with supervised / unsupervised ML methodologies
  • SQL experience preferred, not required
  • Python experience required
  • Databricks experience preferred, not required
  • GitHub, CI / CD workflow experience desired
  • Proficiency in Agile development methodologies
  • Strong background in Python, Spark notebooks, and cloud-based environments like Databricks
  • Experience with Python libraries such as Scikit-learn
  • Demonstrated ability to use MLflow and similar tools
  • Robust analytical, conceptual, and problem-solving skills
  • Active DoD Secret clearance required; Top Secret clearance preferred
  • Target salary range : $82,040 - $141,600

    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.

    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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