Marketing Data Science Advisor

Description

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.

Essential Functions

• 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 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. 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 Minimum

Education

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.

Minimum Experience

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.

Knowledge, Skills and Abilities

• 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.

Preferred Qualifications

• Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills.
• Strong problem-solving abilities.
• Analytical/modeling language knowledge for established and latest technologies to implement to solve business questions.
• Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations.
• 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.
• Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels.

Preferred Qualifications:  

Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay: TN: $8,452.14/mo.-$14,368.83/mo., TX: $8,896.99/mo. - $15,124.88/mo.

Additional Details: This position will be hybrid in Collierville, TN or Plano, TX and candidates must live within a 50-mile radius. Employees will be required to work at a FedEx office location up to several times per week.

For details on our comprehensive benefits, click here.

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 recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

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

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security 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)
• Right to Work Notice (English) / (Spanish)