Data Scientist

FedEx; Memphis (TN); Hybrid; USD 85,000 - 125,000; Full time

Job summary

FedEx is seeking a data professional to analyze large structured and unstructured datasets, build predictive solutions, and communicate insights through dashboards. You will collaborate with business and IT teams to understand data product needs, develop analytics models, and deploy dashboards that track key metrics.

This hybrid Memphis role requires proximity to the campus and a strong foundation in SQL, Python, R, and visualization tools.

Qualifications

• Bachelor’s degree in data science, computer science, applied mathematics, data analytics, statistics, or related quantitative field
• 0 to 3 years relevant experience (skills may be gained concurrently with education)
• Proficiency in at least one programming language (SQL, Python, R, Java, or similar)
• Proficiency in at least one visualization tool/package (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn, or similar)
• Exposure to relational database platforms such as Teradata and Oracle
• Experience with data mining, statistical models, machine learning models, or data visualization
• Exposure to cloud platforms for storage, querying, and analytics (Azure, GCP, AWS)
• Understanding of statistics with exposure to linear algebra
• Ability to define problems, collect data, establish facts, and draw conclusions
• Exposure to ETL concepts and large datasets

Responsibilities

• 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 groups to drive outcomes
• Perform advanced analytics on large structured and unstructured datasets, including: predictive ML, inferential statistics, qualitative analysis
• Develop and deploy analytical and ML models with understanding of data engineering and ML Ops
• Design and implement reporting dashboards and visualizations to track key metrics
• Participate in design sessions to implement experiments addressing questions
• Learn and become fluent in working with FedEx data
• Identify information sources and build relationships with SMEs
• Support knowledge transfer and training of BI to FedEx team
• Perform other duties as assigned

Skills

SQL

Python

R

Java

Data visualization

Education

Bachelor’s degree in data science or related quantitative field

Tools

Spotfire

Tableau

Power BI

ShinyApp

Plotly

Job description

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