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LMI is seeking a skilled Data Scientist to join our growing team supporting the United States Postal Service. The Data Scientist will provide modeling and optimization analysis in support of a major USPS program.

LMI: Innovation at the Pace of Need™

• Frame and scale data problems to analyze, visualize, and find data solutions.
• Manipulate common data formats, including comma-delimited, text files, and JSON.
• Transform data and analysis into informative data visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
• Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
• Assess the effectiveness and efficiency of logistics functions through data analysis.
• Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products.
• Oversee and complete special projects as needed.
• Rapidly prioritize competing requirements, understand and simplify client requirements.
• Communicate with clients through written reports and oral presentations.

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline
• Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn)
• Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
• At least 7 years of experience in the field
• Superior communication skills, both oral and written
• Preferred experience in the following areas:
• Conducting modeling operations in support of optimization and scenario analysis
• Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
• R, Python, SAS, or MATLAB
• Developing software to generate reports and visualizations that summarize data sets and provide data-driven insights
• Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
• Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. To include experience with geospatial analysis and data visualization