Logistics Management Institute
Senior Data Modeling Analyst - Clearance Required
Logistics Management Institute, Vienna, VA
Overview
LMI is seeking a seasoned Data Scientist to support 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
Qualifications
LMI is seeking a seasoned Data Scientist to support 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
- Collaborate actively within a team of data scientists to rapidly design and deploy machine learning meta models, capturing complex scenarios across an extensive array of weapon system components
- Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs
- Craft and deploy 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
- Advance the automation, efficiency, and precision of meta modeling and optimization solutions by contributing innovative approaches and enhancements
- Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem
- 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
- 1-3 years' experience in a data science capacity
- Proficiency in Agile development methodologies
- Strong background in Python, Spark notebooks, and cloud-based environments like Databricks
- Experience with Python libraries such as Scikit-learn
- Demonstrated ability to use MLflow and similar tools
- Robust analytical, conceptual, and problem-solving skills
- Active DoD Secret clearance; Top Secret clearance preferred