Marketing Data Science Advisor (Multi-Level)

About the role

This is a hybrid position located in Memphis, TN, Plano, TX, or Pittsburgh, PA. 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.

Responsibilities

• 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 data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to evaluate trends and develop actionable insights and recommendations for 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.

Requirements

• 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.
• Three (3) 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.
• Two (2) of those years of experience or coursework should include:
  • Computer-aided decision support (utilizing 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, or Spotfire.

Skills

• Advanced descriptive, diagnostic, predictive, and prescriptive modeling knowledge and skills.
• Strong problem-solving abilities.
• Proficiency in analytical/modeling languages (e.g., Python, R, SAS, SQL).
• 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 cross-functional collaboration and project leadership skills.
• Ability to mentor lower-level staff.