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Director Data Science Rotational Program Jobs in Tennessee

... data science challenges. • Collect, clean, and explore large datasets to uncover trends and ... Directors), project team members, and representatives from various functional and / or technical ...

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... data science challenges. • Collect, clean, and explore large datasets to uncover trends and ... Directors), project team members, and representatives from various functional and / or technical ...

New

Communicate regularly with Engagement Managers (Directors), project team members, and ... Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ...

Communicate regularly with Engagement Managers (Directors), project team members, and ... Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ...

Communicate regularly with Engagement Managers (Directors), project team members, and ... Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ...

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Director Data Science Rotational Program information

What are the key skills and qualifications needed to thrive as a Director in a Data Science Rotational Program, and why are they important?

To thrive as a Director in a Data Science Rotational Program, you need advanced expertise in data analytics, machine learning, statistical modeling, and a graduate degree in a quantitative field. Familiarity with tools such as Python, R, SQL, cloud-based platforms, and proficiency in leading data-driven projects is essential, alongside recognized certifications like Certified Analytics Professional (CAP) or AWS Certified Data Analytics. Outstanding leadership, mentorship, and cross-functional communication skills set exceptional candidates apart. These competencies ensure strong team performance, innovation, and effective alignment of data science initiatives with organizational goals.

What can participants expect in terms of mentorship and cross-functional collaboration during the Director Data Science Rotational Program?

Participants in the Director Data Science Rotational Program can expect structured mentorship from senior leaders and exposure to various business units, such as product, engineering, and operations. The program is designed to foster collaboration across teams, offering opportunities to work on high-impact projects and develop a holistic understanding of data-driven decision-making. This structure not only helps participants build a diverse skill set but also expands their professional networks, preparing them for future leadership roles in data science.

What is a Director Data Science Rotational Program?

A Director Data Science Rotational Program is a leadership development initiative designed to groom experienced data science professionals for top executive roles. Participants rotate through various departments or projects, gaining exposure to different facets of data science, analytics, and business strategy within an organization. The program emphasizes cross-functional skills, leadership, and the ability to drive data-driven decision-making at a high level. It often includes mentorship, formal training, and hands-on assignments to prepare participants for senior leadership positions in data science.

Marketing Data Science Advisor

Federal Express Corporation

Collierville, TN

Full-time

Posted 6 days ago


Job 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 reommendations 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, PowerBI, 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: Experience in primary and secondary market research; Cloud based advanced data analytics; Strong knowledge on industry vertical supply chain ecosystem; Strong communication and storytelling skills.

Pay Transparency:

Pay:

Additional Details: This is a hybrid position located in Memphis, TN. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week. Posting closes on: 6/2/2026 at 4:00 PM CST / 5:00 PM EST


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)

Employment Type: FULL_TIME