Mgr-Data Science Commercial

POSITION OVERVIEW:

Lead a team of Data Scientists delivering advanced analytical models that support data-driven decision-making across FedEx Freight's commercial organization. The manager provides technical leadership and partners closely with Commercial, Sales, and Marketing teams to translate complex transportation and customer data into actionable insights that inform enterprise commercial objectives.

ESSENTIAL JOB DUTIES/RESPONSIBILITIES:

1. Lead, coach, and develop a high-performing team of Data Scientists, fostering a culture of technical excellence, collaboration, accountability, and continuous improvement.

2. Direct the end-to-end design, development, and validation of advanced statistical, machine learning, and optimization models to support enterprise commercial strategy.

3. Set analytical standards and oversee the implementation of scalable data pipelines and models to ensure high-quality, timely delivery of solutions.

4. Guide exploration analysis of complex transportation and commercial data to identify trends, revenue drivers, and growth opportunities.

5. Partner with business stakeholders to identify high-value opportunities, define success metrics, and ensure analytics solutions align with commercial goals.

6. Develop and maintain a strong understanding of FedEx Freight business processes, data assets, and commercial operating models.

7. Evaluate emerging analytical methods and technologies, guiding their responsible adoption to maintain a competitive advantage.

8. Communicate complex analytical findings and business impact clearly through executive-level presentations, visualizations, and written narratives.

9. Ensure adherence to data governance, security, and quality standards while monitoring model performance and adoption to recommend optimizations.

10. Provide technical guidance and mentorship across the broader Data Science and Analytics community, promoting cross-functional collaboration.

11. Comply with all applicable laws/regulations, as well as company policies/procedures.

12. Perform other duties as assigned.

Pay Transparency:

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location(s). If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels. Actual pay is determined by job-related factors permitted by law and relevant to the position, such as experience, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. Eligible employees offered health, vision, and dental insurance, employee assistance program, personal/sick paid time, 401(k) retirement savings plan, bonus potential, tuition reimbursement, adoption assistance, 2 weeks paid parental leave, paid bereavement, employee discounts, 6.67-13.34 hours vacation per month based on service time, 8 paid holidays.

Pay Range: $116,600.00 - $204,050.00 per year

Colorado Pay Ranges: Springfield $116,600 - $204,050; Colorado Springs, Grand Junction $116,600 - $204,050; Henderson, Mead $116,600 - $204,050; Gypsum $116,600 - $204,050

Illinois Pay Ranges: East Moline, Effingham, Kankakee, Lincoln, Quincy, Rockford $116,600 - $204,050; Aurora, Bolingbrook, Chicago Heights, Des Plaines, Elmhurst, Forest View, Joliet, Schaumburg, Summit-Argo, Zion $116,600 - $204,050

New York Pay Ranges: Plattsburgh, Buffalo, Watertown, North Chili, East Syracuse, Nichols $116,600 - $204,050; Nichols $116,600 - $204,050; Bethpage, Montgomery, West Babylon $116,600 - $204,050

QUALIFICATIONS:

* Master's Degree in Industrial Engineering, Operations Research, Math/Statistics, Computer Science, Economics, or related quantitative discipline or Bachelor's Degree (aforementioned disciplines) with two (2) years' experience. PhD, preferred

* Five (5) years professional experience in data science, operations research, engineering, statistics, or quantitative business

* Advanced proficiency in Python and SQL with the ability to adapt to new tools and programming environments

* Advanced knowledge of AI/ML techniques and statistical modeling methods, including experience with frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow; familiarity with generative AI concepts and applications is a plus.

* Advanced knowledge of mathematical optimization and solution methods for linear and integer programming; proficiency with optimization/simulation software such as CPLEX, Gurobi, AnyLogic

* Experience applying geospatial techniques and GIS software (e.g., ESRI/ArcGIS, GeoPandas) to operational problems.

* Experience working with cloud-based data platforms (e.g., Azure, AWS, GCP, or Databricks)

* Experience with visualization tools such as Tableau or Power BI for storytelling.

* Demonstrated experience designing, developing, and overseeing advanced statistical and optimization models in commercial or enterprise settings.

* Strong leadership and organizational skills, with a track record of mentoring technical teams and delegating effectively.

* Excellent presentation skills, with the ability to translate complex findings into executive-level insights and actionable recommendations

JOB CONDITIONS:

* Some travel required

Preferred Qualifications:

Pay Transparency: Posting Date: 01/29/26. Will remain posted 60 days (unless filled/canceled sooner). Current FedEx employees apply at enterprisecareers.fedex.com. Others apply at careers.fedex.com.

Pay:

Additional Details: This position can be domiciled at any FedEx Freight location within the continental US. You will be required to work at a FedEx Freight location several times per week.

FedEx Freight is an Equal Opportunity Employer, including disabled and veterans.

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If you have a disability and you need assistance in order to apply for a position with FedEx Freight, please call 800-888-8252 or e-mail at ADAAssistance@freight.fedex.com.

FedEx Freight will not discharge or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.