Data Scientist 1

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. Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making.
2. Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling tasks.
3. Develop and implement machine learning algorithms and predictive analytics models to extract insights and make future predictions.
4. Apply natural language processing techniques to extract meaningful insights from unstructured textual data.
5. Develop algorithms and methods for efficient information retrieval from large datasets.
6. Design and optimize network simulation models to improve efficiency and performance.
7. Develop automated solutions to streamline processes and increase operational efficiency.
8. Prototype and develop applications to demonstrate the feasibility and functionality of data-driven solutions.
9. Manage data science projects from inception to completion, ensuring adherence to timelines and deliverables.
10. Communicate complex analytical findings effectively through data visualization and storytelling techniques.

Education: Master’s degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline.

Relevant work experience as a data scientist based on the following number of years:
Standard I: Two (2) years

Knowledge, Skills and Abilities

• Fluency in English
• Strong foundation in statistics and machine learning
• Strong programming skills in Python
• Solid SQL skills for data analytics
• Ability to present and communicate findings to management stakeholders
• PowerPoint, Reporting and Dashboarding skills necessary
• Process automation and Problem-solving skills considered a plus
• Proven ability to deliver end‑to‑end data projects
• Demonstrated business impact from prior work
• Portfolio or examples of applied, real‑world work