Lead Data Scientist II

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

What can you expect as a Fed Ex team member?

• Career Mobility and Development
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  When you join Fed Ex, 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
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  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 Fed Ex 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.

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

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…