Job description
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 seeking a skilled Data Scientist at our headquarters office in Tysons, VA. Successful Data Scientists demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.
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.
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 Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:
- Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.
- Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark.
- Transform data and analysis into informative data visualizations and/or interactive dashboards.
- Develop scalable heuristic-based and machine learning-based approaches to entity resolution across complex datasets.
- Support the deployment of the entity resolution algorithms into a production pipeline.
- Support the evaluation, maintenance, and retraining of the entity resolution algorithms in production over time.
- Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.
- Assist the development of junior data scientists through technical mentoring, code review, and other assistance.
- The data scientist will need the ability to work in teams and independently.
Required:
- Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
- Minimum two years of experience in data science or data engineering
- Experience working with Python.
- Experience creating meaningful data visualizations and/or interactive dashboards that communicate your findings and relate them back to how your insights create business impact using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
- Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
- Superior communication skills, both oral and written
- Active DoD security clearance at the Top Secret level.
Desired Skills:
- Master’s degree or higher.
- Working knowledge of Spark or PySpark
- Experience with Databricks, Qlik, and the Advana analytics platform
- Experience with entity resolution algorithms
- Experience with deploying and maintaining models in production
- Experience scaling models and algorithms to large datasets
- Previous DOD experience.
- Previous experience working with supply chain or maintenance data or processes.
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