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About the Role

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 scratch. The role will also lead, design, operate, and support AI solutions in Google Cloud Platform (GCP).

Responsibilities

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.
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.
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.
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.
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.

Requirements

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.

Skills

Data Science
Operations Research
Artificial Intelligence
Google Cloud Platform (GCP)
SQL
Python
Data Analysis
Visualization
Power BI
Looker
Tableau
Predictive Analytics
Forecasting
Statistical Analysis
Optimization
Linear Programming
Integer Programming
Simulation
Network Optimization
Scheduling
Resource Allocation
BigQuery
Vertex AI
Gemini
Logistics
Aviation
Transportation
Supply Chain
Network Planning
Generative AI
Large Language Models
AI Agents
Databricks
Gurobi
CPLEX
OR-Tools

Experience Level

2-5 years of practical experience

Education Level

Bachelor's degree or higher in Operations Research, Industrial Engineering, Data Science, Statistics, Applied Mathematics, Computer Science, Engineering or a related quantitative discipline

Benefits

Career Mobility and Development
Opportunities for advancement
Location transfer opportunities
Training programs
Leadership programs
Competitive benefits
Opportunities for flexible work arrangements
Programs to support well-being

About the Company

FedEx Express connects people and possibilities with its diverse portfolio of transportation, e-commerce, and business solutions.
Our networks reach more than 220 countries and territories, linking more than 99 percent of the world’s GDP.
FedEx is consistently recognized as one of the most admired brands in the world and one of the best places to work.
Our people are the foundation of our success and the key to our future.
We are as diverse as the world we serve.
We leverage our diverse talents, experiences, and ideas to be more responsive to customer challenges, spark creative solutions, and adapt to change.

Equal Opportunity

FedEx is an equal opportunity / affirmative action employer (minorities/females/disability/veterans) committed to a diverse workforce.
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.