Sr Data Scientist

Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives. Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and / or other approaches in quantitative analysis of complex business situations.

Essential Functions

Supports service measurement, improvement, and goaling activities through advanced exploratory data analysis and statistics. Includes quantification of current, historical, or future “what if” scenarios using detailed scan data, which necessitates frequent and iterative use of Spark and big data processing instead of traditional SQL.

• Provides tradeoff quantifications between service, cost, revenue, and customer experience for different scenarios through exploratory data analysis and mathematical reasoning. Requires critical thinking about orders of magnitude and asymptotic behavior of trends.
• Develops fact bases to help build strategic narratives of opportunity areas through self-directed exploration of scan and service data.
• Explores enhancements to service measurement and improvement activities through development and calculation of new metrics and the application of statistical process control (SPC).
• Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
• Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges.
• Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems.
• Analyzes data from various databases to drive optimization and improvement of product development and business strategies.
• Ensures accuracy and quality of data, including reconciliation from disparate sources.
• Performs other duties as assigned

Minimum Education

Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field. Related experience may offset degree requirements and related education / degree may offset experience requirements.

Minimum Experience

Five years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and / or predictive analytics.

Knowledge, Skills and Abilities

Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication skills. Proven leadership skills.

Preferred Qualifications :

Pay Transparency :  This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current.   starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors.   An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision, and dental insurance, retirement plans, and tuition reimbursement.

Pay :  U.S. Pay Range : $7,094.23 / month - $12,533.14 / month

Additional Details :  Application Criteria : Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by November 11, 2025

Pay Transparency :

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations.  If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.

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 :

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