Data Scientist

Use scientific methods and data-discovery tools to analyze large structured and unstructured datasets, build predictive solutions, and communicate insights through dashboards.

• Apply scientific methods and data-discovery tools to uncover patterns, insights, and relationships in large-scale data
• Extract meaningful information across multiple large datasets and develop solutions that communicate results quickly and visually
• Collaborate with business and IT teams to understand data product needs through discussion and alignment
• Analyze data from multiple databases to support optimization and improvement of product development and business strategies
• Independently analyze and interpret data to identify trends and data-driven solutions to business problems
• Develop analytical models and algorithms that translate data into business improvement insights
• Build and support processes and tools for monitoring and evaluating analytical model performance (including dashboards and other visualizations)
• Ensure data accuracy and quality, including reconciliation across disparate data sources
• Partner with team members and stakeholders, customers, and other functional groups to drive outcomes
• Perform advanced analytics on large structured and unstructured datasets, including:
  • Predictive machine learning (classification and regression; supervised and unsupervised modeling)
  • Inferential statistics and hypothesis testing
  • Qualitative analysis
• Develop and deploy analytical and machine learning models with a general understanding of data engineering and ML Ops
• Design and implement reporting dashboards and visualizations to track key business metrics and share actionable insights
• Participate in design sessions to implement experiments that address targeted questions and resolve known issues with business partners
• Learn and become fluent in working with FedEx data
• Identify internal and external information sources and build relationships with subject matter experts (including external marketplace contacts)
• Support knowledge transfer and training of business intelligence to the FedEx team as a subject matter expert, helping institutionalize a data-driven analysis culture
• Perform other duties as assigned

Requirements

• Education: Bachelor’s in data science, computer science, applied mathematics, data analytics, statistics, industrial engineering, or related quantitative field
• Experience: 0 to 3 years relevant experience (skills may be gained concurrently with education)
• Programming: Proficiency in at least one programming language (SQL, Python, R, Java, or similar)
• Visualization: Proficiency in one visualization tool/package (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn, or similar)
• Databases: Exposure to relational database platforms such as Teradata and Oracle
• Experience with data mining, developing/implementing statistical models, machine learning models, algorithms, or data visualization
• Exposure to statistical programming languages such as R, Python, SQL, and SAS
• Exposure to machine learning modeling, including scripting and machine learning libraries in R, Python, or similar
• Exposure to cloud platforms for storage, querying, and advanced analytics (Azure, GCP, AWS)
• Understanding of statistics with exposure to linear algebra
• Ability to define problems, collect data, establish facts, and draw valid conclusions
• Ability to read, analyze, and interpret technical journals, reports, and related documents
• Exposure to data modeling and ETL (Extract-Transform-Load) concepts, including query performance tuning and testing
• Exposure to large datasets and experience managing large data
• Ability to present information to management, end users, coworkers, or vendors
• Strong problem-solving, written and verbal communication, and interpersonal skills
• Ability to work on multiple projects and as part of a team

Technologies

• SQL, Python, R, Java
• Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn
• Teradata, Oracle
• SAS
• Azure, GCP, AWS
• ETL (Extract-Transform-Load)
• ML Ops

Location and Work Arrangement

• Memphis, TN (hybrid)
• Candidates must live within 50 miles of the FedEx campus location
• Employees are required to work at the FedEx campus location several times per week

Posting closes: 11/2/2026 at 4:00 PM CST / 5:00 PM EST