Data Modeling Analyst - Clearance Required

LMI-posted 1 day ago
$82,040 - $141,600/Yr
Full-time • Entry Level
Tysons, VA
1,001-5,000 employees
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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.

  • 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
  • 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
  • Python experience required
  • 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
  • SQL experience preferred, not required
  • Databricks experience preferred, not required
  • GitHub, CI/CD workflow experience desired
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