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FE
Federal Express Corporation
Marketing Data Science Advisor (Multi-Level)
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Based on Tennessee data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$103,070 / year median in Tennessee
+25% projected growth
Job Description
Marketing Data Science Advisor (Multi-Level) Federal Express Corporation United States, Tennessee, Collierville 40 FedEx Parkway (Show on map) Aug 05, 2026 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. 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. Preferred Qualifications
- Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills.
- Advanced data science and 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 cross functional collaboration and project leadership skills.
- 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 Sr. Marketing Data Scientist
- Under moderate supervision provides 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.
- Uses 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.
- Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
- Provides thought leadership and leads cross-functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
- Makes use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.
- Makes use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making.
- Leads cross functional projects and programs, formally preparing and presenting to management.
- Provides consultation to management on a regular basis.
- Routinely works on multiple assignments concurrently.
- Mentors less experienced staff. Preferred Qualifications
- Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills.
- Advanced data science and 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 cross functional collaboration and project leadership skills.
- Strong problem solving, analytical, and communication skills.
- Directly related advanced degrees may offset experience requirements.