What can you expect as a FedEx team member?
- Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
- Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.
Equal Opportunities
Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.
We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.
This role applies Data Science, Operations Research and Artificial Intelligence to support Air Network Planning and operational decisions. The focus is on using, evaluating and operationalizing existing prediction and optimization models rather than developing new models from the ground up. The role will also lead, design, operate, and support AI solutions in Google Cloud Platform (GCP).
Key ResponsibilitiesApplied Data Science and Optimization
Apply existing predictive, forecasting, simulation and optimization models to network planning, capacity planning and operational problems.
Evaluate model outputs and assumptions, perform scenario analysis, and translate results into actionable recommendations.
Work with model developers, data engineers and business users to integrate solutions into planning workflows.
AI and GCP Enablement
Operate, monitor and support AI, Machine Learning and Generative AI solutions in GCP.
Use GCP data and AI services, preferably BigQuery, Vertex AI and Gemini, to support integration, testing and adoption.
Identify practical AI use cases and help ensure solutions are reliable, governed and aligned with business needs.
Data Analytics and Business Enablement
Analyze complex datasets using SQL, Python, statistical methods and visualization tools.
Develop dashboards, performance measures and analytical products that support business decisions.
Communicate findings clearly and document analytical logic, assumptions and outcomes.
Project Support
Provide analytical expertise to digital transformation, process improvement and strategic Air Network initiatives.
Coordinate assigned work across teams and promote adoption through user engagement, training and support.
Analytics & Continuous Improvement
Utilize network planning tools, operational data, and analytical models to evaluate network performance and opportunities.
Develop dashboards, reporting tools, and performance reviews to support management decision-making.
Participate in automation and process improvement initiatives that enhance partner network planning and management capabilities.
Support development of innovative solutions that improve planning efficiency and operational visibility.
Bachelor's degree or higher in Operations Research, Industrial Engineering, Data Science, Statistics, Applied Mathematics, Computer Science, Engineering or a related quantitative discipline.
2-5 years of practical experience in applied Data Science, Operations Research, Decision Science or advanced analytics.
Hands-on experience applying predictive or optimization models to operational or business decisions.
Strong SQL, Python, data analysis and visualization skills, with experience using Power BI, Looker, Tableau or equivalent tools.
Practical knowledge of predictive analytics, forecasting and statistical analysis.
Operations Research knowledge or hands-on experience in optimization, linear or integer programming, simulation, network optimization, scheduling or resource allocation.
Strong analytical problem-solving, business acumen and focus on practical outcomes.
Ability to explain technical concepts clearly and work effectively with technical and business stakeholders.
Good planning, project coordination, communication and documentation skills.
Fluency in written and spoken English.
Hands-on experience operating AI or machine learning solutions in GCP is strongly preferred.
Experience with GCP data and AI services, preferably BigQuery, Vertex AI, Gemini and related AI operations practices.
Experience in Logistics, aviation, transportation, supply chain or network planning is an advantage.
Experience with Generative AI, Large Language Models, AI agents, Databricks, Gurobi, CPLEX or OR-Tools is an advantage.
Job Posting End Date:
2026-10-31Skills Required
- Bachelor's degree or higher in Operations Research, Industrial Engineering, Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline.
- 2-5 years of practical experience in applied Data Science, Operations Research, Decision Science, or advanced analytics.
- Hands-on experience applying predictive or optimization models to operational or business decisions.
- Strong SQL, Python, data analysis, and visualization skills, with experience using Power BI, Looker, Tableau, or equivalent tools.
- Practical knowledge of predictive analytics, forecasting, and statistical analysis.
- Operations Research knowledge or hands-on experience in optimization, linear or integer programming, simulation, network optimization, scheduling, or resource allocation.
- Strong analytical problem-solving, business acumen, and focus on practical outcomes.
- Ability to explain technical concepts clearly and work effectively with technical and business stakeholders.
- Good planning, project coordination, communication, and documentation skills.
- Fluency in written and spoken English.
- Hands-on experience operating AI or machine learning solutions in GCP.
- Experience with GCP data and AI services, preferably BigQuery, Vertex AI, Gemini, and related AI operations practices.
- Experience in logistics, aviation, transportation, supply chain, or network planning.
- Experience with Generative AI, Large Language Models, AI agents, Databricks, Gurobi, CPLEX, or OR-Tools.
FedEx Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about FedEx and has not been reviewed or approved by FedEx.
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Healthcare Strength — Access to medical, dental, and vision coverage is highlighted for direct FedEx roles, often with short waiting periods and eligibility for part‑timers who meet hour thresholds. Feedback suggests these plans, combined with paid parental leave, are perceived as a strong part of the package.
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Retirement Support — A company 401(k) with match is emphasized, with eligibility beginning soon after hire in many roles and current plan materials maintained centrally. Feedback suggests this steady retirement vehicle helps offset base‑pay concerns for some roles.
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Leave & Time Off Breadth — Paid time off programs that can scale to multiple weeks, plus holiday and sick time, are called out across postings. Feedback suggests this time‑off breadth provides meaningful value alongside hourly wages, especially where overtime ebbs and flows.
FedEx Insights
What We Do
FedEx connects people and possibilities through our worldwide portfolio of shipping, transportation, e-commerce and business services. We offer integrated business applications through our collaboratively managed operating companies — collectively delivering extraordinary service to our customers — using the expertise and reliability represented by the FedEx brand. Our people are the foundation of our success, and FedEx has consistently ranked among the world’s most admired and trusted employers. We inspire our global workforce of more than 575,000 employees to remain absolutely, positively focused on safety, the highest ethical and professional standards, and the needs of their customers and communities. We owe our success as an industry leader to the more than 500,000 global team members who deliver exceptional customer service experiences day-in and day-out. Want to be part of this dynamic team?
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