What are the responsibilities and job description for the Senior Data Modeling & Lead Data Scientist - Clearance Required position at Logistics Management Institute?
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
