Lead Data Scientist

5 days ago

Dinan, Bretagne, United States Logistics Management Institute Full time

Logistics Management Institute is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning models.

Overview

LMI's critical supply chain risk program for the Department of Defense relies heavily on encapsulating extensive discrete event simulation data using machine learning models.

The ideal candidate will direct a dynamic team of data scientists to swiftly develop and implement meta models that represent simulated scenarios across a vast inventory of weapon system components.

Responsibilities
  • Direct a team of data scientists to develop and implement ML meta models representing numerous simulated scenarios.
  • Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs.
  • Enhance established supervised ML models employing tools such as Python, PySpark, and MLflow.
  • Utilize meta models for optimization modeling, employing methods like linear programming and heuristic approaches.
  • Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions.
  • Collaborate with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem.
  • Collaborate 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.
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.
  • Familiarity with Qlik, React, or other data visualization platforms.
  • Robust analytical, conceptual, and problem-solving skills.
  • Active DoD Secret clearance; Top Secret clearance preferred.

**Estimated Salary:** $140,000 - $160,000 per annum. We offer a competitive compensation package based on qualifications and experience.

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