Sr Marketing Data Scientist

Under moderate supervision, provide expertise at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. Use expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively well‑defined and lower‑complexity business problems.

Create and execute solutions from initial concept to fully tested production and communicate results to a broad range of audiences.

Provide thought leadership and lead cross‑functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Make use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.

Make use of data, statistical and quantitative analysis, explanatory and high‑complexity predictive modeling, and fact‑based management to drive decision‑making. Lead cross‑functional projects and programs, formally preparing and presenting to management. Provide consultation to management on a regular basis. Routinely work on multiple assignments concurrently and mentor less experienced staff.

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Related experience may offset degree requirements and related education/degree may offset experience requirements.

Two (2) years work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. One (1) year of experience or coursework 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.

Strong problem‑solving, analytical, and communication skills. Directly related advanced degrees may offset experience requirements.

Lead AI/ML initiatives to design, deploy, and scale pricing models. Build end‑to‑end solutions encompassing data engineering, modeling, deployment, and visualization. Demonstrate expertise in machine learning, deep learning, GenAI, and Agentic AI. Apply advanced statistics, forecasting, and optimization techniques on cloud platforms to drive business performance. Define performance metrics and translate analyses into clear, actionable insights, visuals, and storytelling for decision‑making.

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family. Actual pay is determined by several job‑related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.

US: $7,094.23/mo – $15,607.31/mo, CO: $7,094.23/mo – $14,957.01/mo, MD: $7,488.36/mo – $15,607.31/mo, NJ: $7,488.36/mo – $15,607.31/mo, NY: $7,488.36/mo – $15,607.31/mo, NYC: $9,064.85/mo – $15,607.31/mo, WA: $7,488.36/mo – $15,607.31/mo

This position will be hybrid in Collierville, TN;
Harrison, AR;
Plano, TX;
Lakeland, FL; or Pittsburgh, PA and candidates must live within a 50 mile radius. Employees will be required to work at a Fed Ex office location up to several times per week.

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

• Know Your Rights
• Pay Transparency
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection

• E-Verify Notice (bilingual)
• Right to Work Notice (English) / (Spanish)

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Engineering and Information Technology
• Industries: Freight and Package Transportation