Marketing Data Science Advisor

The individual will provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives. They will utilize their knowledge of customer data, market dynamics, and internal business processes to develop analytical solutions for complex business problems.

• Creates and executes analytical solutions from concept to production, communicating results to diverse audiences, and providing thought leadership in advanced modeling and analysis.
• Provides thought leadership and leads cross‑functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
• Works on multiple complex assignments concurrently.
• Makes advanced use of current and emerging technologies and advanced use of data, statistical and quantitative analysis, explanatory and high‑complexity predictive modeling, and fact‑based management to evaluate trends and develop actionable insights and to drive recommendations to business partners and management.
• Provides consultation to management on a regular basis and formally prepares and presents recommendations to leadership.
• Mentors less senior staff.
• Perform other duties as assigned.

Masters degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Directly related advanced degrees may offset experience requirements.

Three (3) years work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role required. Two (2) of those years of experience or coursework should be with the following skills (skills can be gained concurrently with education): computer‑aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, Power

BI, Spotfire, etc. will be considered equivalent.

• Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills.
• Strong problem‑solving abilities.
• Analytical/modeling language knowledge.
• Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations.
• Ability to communicate highly complex information in an understandable manner to both technical and non‑technical audiences at all levels.
• Strong collaboration and project leadership skills.
• Ability to mentor lower levels.

Experience in primary and secondary market research;
Cloud‑based advanced data analytics;
Strong knowledge on industry vertical supply chain ecosystem;
Strong communication and storytelling skills.

Pay: ...

This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the Fed Ex campus location several times per week. Posting closes on: 6/2/2026 at 4:00 PM CST / 5:00 PM EST.

Federal Express Corporation is an Equal Opportunity Employer including Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact

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• Employee Polygraph Protection Act

Federal Express Corporation participates in the U.S. Citizenship and Immigration Services’ E‑Verify program (For U.S. applicants and employees only). Please click below to learn more about the E‑Verify program:

• E‑Verify Notice (bilingual)
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