Overview

LMI is seeking a seasoned Lead Data Scientist to spearhead 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.

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

Responsibilities

• Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components
• Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs
• Adapt and enhance established, 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
• Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions
• Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem
• Collaborate closely with peer technical leads to identify priorities, risks and solutions
• 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
• Minimum of 5 years’ experience in a data science capacity
• Extensive experience applying Agile methodologies
• Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing
• Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python
• Well-versed in using MLflow and comparable tools
• Familiarity with Qlik, React or other data visualization platforms
• Robust analytical, conceptual, and problem-solving skills
• Active DoD Secret clearance; Top Secret clearance preferred