Marketing Data Science Fellow

Description

• Acts independently on behalf of the department to provide dynamic leadership at the enterprise level related to vast quantities of 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 advanced analytical solutions to ambiguous and very highly complex business problems.
• Breaks down ambiguous problems into manageable data science tasks, creating and executing data-driven solutions and communicating results effectively to a diverse audience.
• Provides thought leadership, leading cross-functional teams, and making expert use of current and emerging technologies to derive actionable insights and recommendations for business partners and management.
• Breaks down highly ambiguous and complex problems into well defined data science/analytics tasks that can be solved with data and modeling/analytical approaches.
• 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 and cross-company teams in the more advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis and other quantitative analysis of complex business situations.
• Makes expert use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.  
• Makes expert 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 senior management.
• Provides expert consultation to senior management on a regular basis.
• Routinely works on multiple highly complex assignments concurrently.
• Mentors less senior staff.
• Perform other duties as assigned.
• This position will be hybrid in Collierville, TN and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week.

Requirements

MINIMUM Education Requirement: Master’s degree* in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as Engineering/Operations research

MINIMUM Experience Requirement: 

4 years of 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.

Three (3) years of this experience or coursework should be gained in 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, PowerBI, Spotfire etc.

ALTERNATE Minimum Requirements:

As an equivalent alternative, the employer will accept a PhD degree in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as Engineering/Operations research. 

 1 year of 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.  

Experience or coursework should be gained 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, PowerBI, Spotfire etc.

  The position requires experience with:  

• Subject matter expertise in descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills;
• Advanced problem solving abilities;
• Subject matter expertise in 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;
• Ability to regularly prepare and formally present recommendations to leadership;
• Strong project leadership skills;
• Ability to mentor lower levels
• Directly related advanced degree may offset experience requirements.
• Related experience may offset degree requirements and related education/degree may offset experience requirements. 

This position will be hybrid in Collierville, TN and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week.  

*Employer will accept any foreign master’s degree program of at least two years 

EEO Statement

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)