Senior Data Modeling & Lead Data Scientist - Clearance Required

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.

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

• Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience
• Minimum of 10 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