Senior Data Scientist Job at Logistics Management Institute
Overview:
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
Responsibilities:
LMI is hiring a Senior Data Scientist to support the Chief Digital and AI Office (CDAO) with the Supply Chain Risk Evaluation Environment (SCREEn) on Advana. The Senior Data Scientist will support the development of a simulation platform to model the impact of supply chain disruptions and mitigations and will apply the simulation with design of experiments, ML meta modeling, and optimization. The ideal candidate has experience in data analysis, visualization, statistics, programming, project execution, critical thinking, and communicating analysis results through reports, graphics, and interactive visualizations. Collaboration with other data scientists and effective communication with clients is also essential.
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
Responsibilities:
This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the CDAO’s SCREEn. Responsibilities include:
- Frame and scale data problems effectively to analyze, visualize, and find data-driven solutions.
- Collaborate with data analysts and data engineers to develop robust and scalable simulation models, ML, and optimization using technologies such as Python and Spark.
- Develop metrics for the evaluation of baseline performance and the effectiveness of newly developed models.
- Develop meta models of simulation results to represent the best mitigation strategies under various supply chain disruptions.
- Provide oversight for the development of a Python-based supply chain simulation.
- Support the deployment of tools for comparative analyses in course of action evaluation.
- Contribute to the evaluation, maintenance, and retraining of models in production over time.
- Assist the development of junior data scientists through technical mentoring, code review, and other assistance.
- Work in teams and independently.
Required Qualifications:
- Master's degree in data science, engineering, physics, mathematics, statistics, computer science, or similar quantitative discipline is required.
- Minimum 5-8+ years of experience in software engineering with an emphasis on products focused on analytics, simulation, or related requirements.
- Minimum 3-5+ years of experience in data science or data engineering.
- Experience with simulation modeling and analysis and design of experiments.
- Experience in developing applications with Python.
- Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
- Superior verbal and written communication skills.
- Excellent problem-solving, critical thinking, and team management skills.
Desired Qualifications:
- PhD degree in a related field
- Working knowledge of Spark or PySpark
- Experience with cloud platforms such as AWS and Azure
- Experience with demand and inventory planning or supply chain operations
- Experience with deploying and maintaining models in production
- Active DoD Secret Clearance
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