Sr Data Scientist

Federal Express Corporation; Collierville (TN); Hybrid; USD 78,000 - 174,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Federal Express Corporation seeks a senior data scientist/engineer to lead enterprise analytics, build predictive models, and guide data-driven decisions. You will mentor staff, lead cross-functional teams, and present results to senior leadership.

The role emphasizes Python, SQL, Databricks, and IaC with Terraform, with a strong foundation in data warehousing and ML forecasting. Hybrid work with preferred US locations; occasional on-site work.

Qualifications

• Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field.
• Five years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.

Responsibilities

• Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
• Leads cross functional teams and mentors staff on highly complex assignments.
• Provides consultation to senior leadership on a regular basis.
• Uses data and analytics to drive decision making.
• Performs other duties as assigned.

Skills

Analytical skills

Python

SQL

Cloud data warehousing

Databricks

Power BI

Terraform / IaC

Machine learning

LLM workflows

Data engineering

Education

Bachelor's degree in data science / computer science / applied mathematics / data analytics / statistics

Tools

Databricks

BigQuery

Terraform

Power BI

Excel/Power Query

Job description

• Terraform / Infrastructure-as-Code experience

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.

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.
• Strong Python skills (data pipelines, automation, scripting
• Experience with SQL and cloud data warehousing (BigQuery or equivalent)
• Experience with cost/financial data analysis or FinOps-adjacent reporting
• 3+ years of experience in data science or data engineering roles
• Experience with medallion (bronze/silver/gold) data architecture
• Hands-on experience with Databricks (Spark, Delta Lake, notebooks/jobs)
• Proficiency in Power BI and Microsoft 365 (Excel/Power Query) for reporting
• Terraform / Infrastructure-as-Code experience
• Applied machine learning experience (forecasting, anomaly detection, cost optimization models)
• Experience building or integrating agentic/LLM-based workflows
• One of the following: FinOps Certified Practitioner / FinOps for AI, Google Cloud certification, Azure certification, OCI certification

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.

Domicile Information

The preferred location for this hybrid position is Memphis, TN, Pittsburgh, PA or Plano, TX. However, we will consider candidates based elsewhere within the United States (excluding Alaska, Hawaii, and U.S. territories). Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx location several times per week.

Pay Transparency:

Pay: US: $7,094.23/mo - $15,607.31/mo, CO: $7,094.23/mo - $14,957.01/mo, MD: $7,488.36/mo - $15,607.31/mo, NJ: $7,488.36/mo - $15,607.31/mo, NY: $7,488.36/mo - $15,607.31/mo, NYC: $9,064.85/mo - $15,607.31/mo, WA: $7,488.36/mo - $15,607.31/mo

Additional Details:

For details on our comprehensive benefits, click here.

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 [e-mail].

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)