Overview
LMI is seeking a Senior Data Scientist to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Senior Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Senior Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission.
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.
LMI has been named a 2024 #TopWorkplace in the United States by Top Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!
Responsibilities
- Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala)
- Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges
- Query databases using SQL with structured data and perform statistical analysis
- Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks
- Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations
- Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools
- Think strategically about how to publish data visualizations and present analytic results
- Support business decisions with ad hoc analysis
Qualifications
- 3-5 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community
- 3-5 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory
- 3-5 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods
- Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization
- Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products
- Active TS/SCI with polygraph required
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