Lead Data Scientist

4 weeks ago

Washington, Washington, D.C., United States Logistics Management Institute Full time
Job Summary

Logistics Management Institute (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.

About the Role

As a Lead Data Scientist, you will 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. You will apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs. Additionally, you will adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow. You will utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches. Furthermore, you will mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions. You will collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem. You will also collaborate closely with peer technical leads to identify priorities, risks, and solutions. You will operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks. You will manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements. You will engage with cutting-edge data science techniques to address complex, large-scale data challenges.

Qualifications

A Bachelor's degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience. A 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.

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