Senior Data Modeling Analyst - Clearance Required

Tysons, VA, United States

Logistics Management Institute

With a legacy of solving the government’s most complex challenges and an outcome-driven model to execute above expectation, LMI transforms missions with solutions that define the new speed of possible.

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Overview

LMI is seeking a seasoned 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.

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
  • 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; Top Secret clearance preferred
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Agile Databricks Machine Learning MLFlow ML models PySpark Python Research Scikit-learn Spark Testing

Perks/benefits: Career development

Region: North America
Country: United States

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