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- This candidate will be responsible for design, development and execution of ML based forecasts with experience in GCP environment.
- Experience working on analytics, machine learning, and deep learning in GCP or Azure environments, in areas of time series forecasting/planning and business activities.
- Hands-on expertise in Python, SQL, PySpark, BigQuery, Dataproc, Airflow and cloud-based ML platforms.
- Sufficient knowledge on Data Engineering, Cloud Platform, and MLOps to understand and communicate the requirements across multi-functional teams.
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 and related education/degree may offset experience requirements.
Minimum ExperienceTwo (2) years work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. One (1) year of experience or coursework 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.
Knowledge, Skills and Abilities- Strong problem solving, analytical, and communication skills.
- Directly related advanced degrees may offset experience requirements.
DomicileThis 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.
Preferred Qualifications: Pay Transparency: Pay: Additional Details: Posting closes on: 08/24/2026 at 4:00 PM CST / 5:00 PM EST.
For details on our comprehensive benefits, click here.
