Lead Data Scientist II

At FedEx Express, we believe that a connected world is a better world. We connect people and possibilities with our diverse portfolio of transportation, e-commerce, and business solutions. Today, 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. At FedEx, 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. FedEx is an equal opportunity / affirmative action employer (minorities/females/disability/veterans) committed to a diverse workforce.

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.

Areas of Responsibility

1. Advanced Analytics, Data Science & Operations Research

Support critical Global business processes and strategic initiatives through end-to-end analytical solutions.

• Frame ambiguous business problems into well-defined analytical, data science, or optimization problems
• Identify required data, assess availability and quality, and define data acquisition strategies
• Design, build, and evaluate advanced analytical models, including:
  • Operations Research (optimization, simulation, network design, scheduling, capacity planning)
  • Machine learning and predictive modeling
  • Prescriptive analytics and decision intelligence
  • Artificial intelligence techniques (e.g., NLP, information retrieval, graph and network analysis)
  • Generative AI
  • Geospatial analytics, statistical and mathematical programming
• Integrate OR models with data science pipelines to enable scalable, data-driven decision-making
• Prototype analytical applications and decision-support tools in collaboration with engineering teams
• Apply advanced visualization techniques to communicate insights, trade-offs, and recommendations clearly to technical and non-technical stakeholders
• Document methodologies, assumptions, and results to ensure transparency, reproducibility, and knowledge reuse
• Lead or support training sessions; mentor analysts and data scientists; coach business users and citizen data scientists across the globe

2. Advisory, Technical Leadership & Project Delivery

Act as a trusted analytics advisor and technical leader for business functions.

• Partner with business leaders to identify opportunities where advanced analytics, data science, and OR can create measurable business value
• Recommend analytics approaches, solution architectures, tooling, and resource needs aligned with business strategies
• Provide hands-on technical guidance and design oversight for complex analytics and OR initiatives
• Collaborate closely with Data Engineering, BI, and Data Management teams to ensure robust, scalable, and production-ready solutions
• Translate business requirements into analytical problem formulations and technical specifications
• Lead or contribute to project planning, execution, and delivery; track progress and success metrics
• Prepare and present executive-level updates, outcomes, and recommendations
• Support change management and adoption of analytics solutions

To Be Successful in This Role, You Will Need

Education & Experience

• Master’s degree or equivalent in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative field; PhD preferred
• Minimum 8 years of hands-on experience in Operations Research, Data Science, and advanced analytics
• Experience in Supply Chain, Air Network, Transportation, or Pickup & Delivery is strongly preferred

Technical & Analytical Skills

• Deep expertise in optimization, simulation, and quantitative modeling
• Strong data science foundation, including machine learning, statistical modeling, and predictive analytics
• Ability to combine OR and data science techniques into integrated, scalable solutions
• Strong data exploration, modeling, and visualization capabilities
• Curiosity-driven mindset with the ability to independently ask the right questions, learn continuously, and solve novel problems

Business & Leadership Skills

• Strong understanding of business fundamentals and operational decision-making
• Ability to engage, influence, and communicate effectively with senior business stakeholders
• Proven capability to lead technically, mentor others, and raise overall analytics maturity
• Comfortable operating in ambiguity and adapting to evolving business priorities and technology platforms
• Strong professional skills: influencing and persuasion, judgment and decision-making, planning and organizing
• Project management experience or certification is a plus

Language

• Fluency in written and spoken English

Job Posting End Date: