Sr Data Scientist

FedEx Services
Pennsylvania

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

  • Creates and executes solutions form initial concept to fully tested production and communicates results to a broad range of audiences.

  • Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.

  • Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making.

  • Mentors less senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments.

  • Provides consultation to senior leadership on a normal basis.

  • Performs other duties as assigned.


Additional Job Description

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 Education:

Masters degree in a quantitative field.

Preferred Skills:

The ideal candidate will have strong hands-on experience in MLOps and AI, with a particular focus on deploying, monitoring, and scaling machine learning and Generative AI (GenAI) solutions in production environments. This role requires advanced coding skills in Python and/or other relevant languages, along with experience building robust data pipelines, model automation, CI/CD workflows, and cloud-based ML platforms. A proven ability to translate complex business problems into production-grade AI solutions is essential.

Pay Range: $7,882.48 - $10,444.29

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 permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

The desired location(s) for this position would be Pittsburgh, PA. Remote work will be considered based on business need.


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:
Apply for this position by Tuesday, January 27, 2026 at 9am cst. January

Pay Transparency:

Pay:

Additional Details:


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 [email protected].

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)

Posted 2026-02-02

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