Marketing Data Science Advisor (Multi Level)
Federal Express Corporation, Collierville, TN, United States
Marketing Data Science Advisor
Provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives. Utilize 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, data, and quantitative analysis to evaluate trends, develop actionable insights, and 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.
Performs other duties as assigned.
Minimum Education Master’s 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 years of work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields, in an analytical, quantitative, or technical role. At least two years of experience or coursework should involve computer‑aided decision support, an analytical/modeling language (Python, R, SAS, or SQL), and data visualization tools such as Tableau, Power BI, or Spotfire.
Knowledge, Skills & Abilities
Advanced descriptive, diagnostic, predictive, and prescriptive modeling knowledge.
Strong problem‑solving abilities.
Proficiency in analytical/modeling languages.
Advanced statistical analysis 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.
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 AI/ML initiatives. Uses expert knowledge of customer, consumer, economy, external demand drivers, market, and competition data, and internal business processes to develop analytical solutions to relatively well‑defined and lower‑complexity business problems.
Essential Functions
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.
Leads cross‑functional projects and programs, formally preparing presentations to management and providing regular consultation.
Routinely works on multiple assignments concurrently and mentors less experienced staff.
Minimum Education 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.
Minimum Experience Two years of work experience in business, mathematics, economics, computer science, or other quantitative fields, in an analytical, quantitative, or technical role. At least one year of experience or coursework should involve computer‑aided decision support, an analytical/modeling language (Python, R, SAS, or SQL), and data visualization tools such as Tableau, Power BI, or Spotfire.
Knowledge, Skills & Abilities
Strong problem solving, analytical, and communication skills.
Directly related advanced degrees may offset experience requirements.
Preferred Experience
Business acumen, storytelling with data, communication to influence.
Project management and cross‑functional collaboration.
Customer‑centric and end‑to‑end design, requirements analysis.
Proficiency with Python, Power BI, SQL, Azure, Databricks, and Agentic AI.
Develop actionable insights for executive consumption with business analytics.
Produce demand forecasts and business plans using machine learning techniques, leveraging economic and market indicators.
Design forecasting and insights infrastructure.
Location This position is hybrid in Memphis, TN or Plano, TX. Candidates must live within a 50‑mile radius and may be required to work at a FedEx office location several times per week.
Equal Opportunity Employer Federal Express Corporation is an Equal Opportunity Employer including Veterans/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations 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
E‑Verify Notice (bilingual)
Right to Work Notice (English / Spanish)
#J-18808-Ljbffr
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, data, and quantitative analysis to evaluate trends, develop actionable insights, and 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.
Performs other duties as assigned.
Minimum Education Master’s 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 years of work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields, in an analytical, quantitative, or technical role. At least two years of experience or coursework should involve computer‑aided decision support, an analytical/modeling language (Python, R, SAS, or SQL), and data visualization tools such as Tableau, Power BI, or Spotfire.
Knowledge, Skills & Abilities
Advanced descriptive, diagnostic, predictive, and prescriptive modeling knowledge.
Strong problem‑solving abilities.
Proficiency in analytical/modeling languages.
Advanced statistical analysis 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.
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 AI/ML initiatives. Uses expert knowledge of customer, consumer, economy, external demand drivers, market, and competition data, and internal business processes to develop analytical solutions to relatively well‑defined and lower‑complexity business problems.
Essential Functions
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.
Leads cross‑functional projects and programs, formally preparing presentations to management and providing regular consultation.
Routinely works on multiple assignments concurrently and mentors less experienced staff.
Minimum Education 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.
Minimum Experience Two years of work experience in business, mathematics, economics, computer science, or other quantitative fields, in an analytical, quantitative, or technical role. At least one year of experience or coursework should involve computer‑aided decision support, an analytical/modeling language (Python, R, SAS, or SQL), and data visualization tools such as Tableau, Power BI, or Spotfire.
Knowledge, Skills & Abilities
Strong problem solving, analytical, and communication skills.
Directly related advanced degrees may offset experience requirements.
Preferred Experience
Business acumen, storytelling with data, communication to influence.
Project management and cross‑functional collaboration.
Customer‑centric and end‑to‑end design, requirements analysis.
Proficiency with Python, Power BI, SQL, Azure, Databricks, and Agentic AI.
Develop actionable insights for executive consumption with business analytics.
Produce demand forecasts and business plans using machine learning techniques, leveraging economic and market indicators.
Design forecasting and insights infrastructure.
Location This position is hybrid in Memphis, TN or Plano, TX. Candidates must live within a 50‑mile radius and may be required to work at a FedEx office location several times per week.
Equal Opportunity Employer Federal Express Corporation is an Equal Opportunity Employer including Veterans/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations 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
E‑Verify Notice (bilingual)
Right to Work Notice (English / Spanish)
#J-18808-Ljbffr