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Federal Express Corporation Logo

Data Scientist - Multi Level

Federal Express Corporation

Salary not specified
Nov 6, 2025
Memphis, TN, United States of America
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Federal Express Corporation is looking to solve business problems through data analysis and scientific methods to find new patterns, insights, and relationships in big data

Requirements

  • Proficient in at least one programming language, such as (SQL, Python, R, Java, etc.)
  • Proficient in one visualization tools/packages, such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn)
  • Exposure to relational database platforms, such as Teradata and Oracle
  • Experience in data mining, developing/implementing statistical models, algorithms, or visualizing data
  • Experience with statistical programming languages such as R, Python, SQL, and SAS required
  • Exposure with Cloud platforms, including storage, querying, and advanced analytics (Azure, GCP, AWS)
  • Understanding of statistics with exposure to linear algebra

Responsibilities

  • Supports service measurement, improvement, and goaling activities through advanced exploratory data analysis and statistics
  • Provides tradeoff quantifications between service, cost, revenue, and customer experience for different scenarios through exploratory data analysis and mathematical reasoning
  • Develops fact bases to help build strategic narratives of opportunity areas through self-directed exploration of scan and service data
  • Explores enhancements to service measurement and improvement activities through development and calculation of new metrics and the application of statistical process control (SPC)
  • Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
  • Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges
  • Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems

Other

  • Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field
  • Zero (0) to three (3) years relevant experience required
  • Strong problem-solving skills
  • Strong written and verbal communication skills
  • Strong interpersonal skills