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.

" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

City:

Posting Close Date:

Job Family:

1. Lead in-depth analysis of complex data sets to uncover actionable insights and trends.
2. Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
3. Apply optimization techniques to improve business processes and resource allocation.
4. Design and implement decision support systems that enable stakeholders to make data-driven decisions.
5. Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
6. Lead cross-functional teams and stakeholders to understand business requirements and priorities.
7. Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
8. Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.

Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.

Relevant work experience in decision science based on the following number of years:
Lead I: Five (5) years
Lead II: Six (6) years

Knowledge, Skills and Abilities
• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Statistical and Mathematical Knowledge
• Data Modeling and Visualization Skills
• Programming Skills