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Fedex Computer Science Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Information Systems, Business Technology, or a ... For current FedEx Office team members, must meet hiring criteria for the position and transfer ...

Employees will be required to work at the FedEx location five days a week." GENERAL DUTIES AND ... Proficiency with computer systems and ability to learn new software applications quickly * For new ...

Sr. Network Engineer

Plano, TX · Hybrid

$97K - $133K/yr

Requirements Bachelor's degree in IT-related engineering, computer science or information systems ... This position is hybrid, meaning that employees will be required to work at a FedEx office location ...

Employees will be required to work at the FedEx campus location several times per week." GENERAL ... Proficient in computer PC skills including, but not limited to MS Office including: Outlook, Word ...

Lead and own high-impact data science initiatives within the DW 2.0 data monetization scope and ... Cultivate deep domain expertise in FedEx data and tools, taking direction from senior team members ...

New

Employees will be required to work at the FedEx campus location several times per week." GENERAL ... Proficient in computer PC skills including, but not limited to MS Office including: Outlook, Word ...

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Fedex Computer Science information

What do computer science professionals do at FedEx?

Computer science professionals at FedEx design, develop, and maintain technology systems that support logistics, shipping, and tracking operations. Their responsibilities may include software engineering, data analysis, cybersecurity, and developing innovative solutions to improve package delivery and customer service. They work closely with other departments to ensure FedEx’s technology infrastructure is secure, efficient, and scalable to meet global business needs.

How does a Computer Science professional at FedEx typically collaborate with cross-functional teams to implement technology solutions?

At FedEx, Computer Science professionals frequently work alongside colleagues from logistics, operations, and business analytics to develop and deploy technology solutions that improve efficiency and customer experience. Collaboration often involves participating in agile project teams, attending regular stand-ups, and coordinating with stakeholders to ensure requirements are met. This multidisciplinary approach not only enhances problem-solving but also provides exposure to various business domains, offering valuable experience for career progression within the company.

What are the key skills and qualifications needed to thrive as a Computer Scientist at FedEx, and why are they important?

To excel as a Computer Scientist at FedEx, you need a strong background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree. Familiarity with tools such as Java, Python, SQL databases, cloud platforms, and experience with logistics or supply chain systems is highly beneficial. Excellent analytical thinking, communication, and teamwork skills help you navigate complex projects and collaborate across departments. These abilities are crucial for developing innovative solutions that enhance FedEx's technology-driven logistics operations.
More about Fedex Computer Science jobs
Infographic showing various Fedex Computer Science job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Marketing Data Science Advisor

Federal Express Corporation

Collierville, TN • On-site, Remote

Other

Posted 20 days ago


Job description

The individual will provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives. They will utilize their knowledge of customer data, market dynamics, and internal business processes to develop analytical solutions for complex business problems. Creates and executes analytical solutions from concept to production, communicating results to diverse audiences, and providing thought leadership in advanced modeling and analysis. Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Works on multiple complex assignments concurrently. Makes advanced use of current and emerging technologies and advanced use of data, statistical and quantitative analysis, explanatory and high complexity predictive modeling, and fact-based management to evaluate trends and develop actionable insights and to drive recommendations to business partners and management. Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Provides consultation to management on a regular basis and formally prepares and presents recommendations to leadership. Mentors fewer senior staff. Perform other duties as assigned. 


Requirements:

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research plus 3 years of experience in the job offered or 3 years' work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role required. The employer will alternatively accept a Ph.D. in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research in lieu of a Master's degree plus 3 years of experience. The position requires: Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills. Strong problem-solving abilities. Analytical/modeling language knowledge. Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations. Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels. Strong collaboration and project leadership skills. Ability to mentor lower levels. Two (2) of those years of experience or coursework should be with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc. will be considered equivalent. Directly related advanced degrees may offset experience requirements.

Position allows for telecommuting from home within commuting distance of Collierville, TN.  

EEO Statement

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. 

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act


E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)