Data Analyst at FedEx – Remote

FedEx Dataworks emerged from the innovation engine of FedEx, a global leader shipping nearly 20 million packages each day and orchestrating vast flows of information. Positioned at the crossroads of the physical and digital worlds, Dataworks is committed to shaping the future of logistics through intelligent, data-driven solutions.

Our Purpose

At FedEx Dataworks, we are focused on building smarter, more efficient supply chains—for FedEx, our customers, and the global community. We do this by:

• Unlocking the power of data to identify and solve real-world challenges

• Integrating diverse data sources to uncover novel insights

• Rapidly designing and refining tools and models that create measurable value

• Driving transformation through innovation, curiosity, and operational excellence

Role Overview

We are seeking a highly skilled and forward-thinking Data Scientist to lead and drive critical data science initiatives. In this role, you will contribute to and shape our advanced analytics capabilities, deploying state-of-the-art machine learning and data science methodologies to solve high-impact problems across the FedEx network. You’ll serve as both a technical leader and a hands-on contributor, translating complex business needs into scalable models and solutions. Your work will touch every corner of the business—from strategic planning to operational enhancements and new product development.

Key Responsibilities

• Spearhead advanced data science initiatives and lead the development of machine learning and optimization models

• Apply innovative modeling techniques, including descriptive, diagnostic, predictive, and prescriptive analytics

• Champion cutting-edge methods and stay ahead of industry trends in machine learning, AI, and large-scale analytics

• Design and develop APIs and services in line with modern architectural standards (API-first and service-oriented architecture)

• Leverage best practices in MLOps and CI/CD to ensure repeatable, scalable, and reliable model deployment

• Guide and mentor junior data scientists, fostering technical excellence across the team

• Work collaboratively with engineers, analysts, product managers, and external partners to deliver enterprise-level solutions

Core Areas of Impact

• Translate business and technical challenges into data science opportunities

• Lead the design of new algorithms and models to address complex, data-rich problems

• Scale solutions from prototypes to production-ready applications

• Accelerate the delivery of value by building reusable components and automation

• Promote cross-functional collaboration across business units, IT, engineering, and external partners

• Institutionalize best practices, templates, and code libraries for future use

Skills and Qualifications

• Strong academic background in a quantitative discipline such as computer science, statistics, mathematics, operations research, or a related field

• Proven track record of applying data science and machine learning to drive real-world results

• Experience deploying optimization or ML models using cloud infrastructure and modern tools

• Comfort working across a range of environments, from rapid prototyping to large-scale production deployments

• Strong programming skills and experience with source control tools in a collaborative environment

• Deep theoretical knowledge in linear algebra, calculus, probability, and statistical modeling

• Expertise in one or more of the following tools/languages:

  • Languages: Python, R, Scala, Java, C++

  • ML Frameworks: TensorFlow, PyTorch, XGBoost, scikit-learn, MLlib

  • Data Engineering & Tools: Spark, Databricks, MLFlow, Kafka, Hadoop, Hive

  • Optimization Solvers: Gurobi, CPLEX

Eligibility and Locations

• This is a remote-friendly position within the U.S., with flexibility based on business needs

• Applicants must be legally eligible to work in the United States

Minimum Qualifications

Data Scientist II

• Master’s degree in computer science, statistics, applied math, or related discipline

• At least 2 years of relevant experience in analytics, data science, or operations research

• Proficiency in building data pipelines and analysis workflows to support business needs

• Familiarity with the full analytical lifecycle from data acquisition to presentation

• Experience working in cross-functional teams and delivering practical insights

Data Scientist III

• Master’s degree required; PhD preferred in a quantitative field

• 3–4 years of experience (or equivalent academic background) applying data science techniques at scale

• Deep expertise in machine learning model development and end-to-end analytical processes

• Strong understanding of transportation/logistics, market trends, and emerging technologies

• Demonstrated leadership within project teams or consulting engagements

Salary & Benefits

• Compensation Range: $82,240 – $167,520, depending on experience, location, and role level

• Eligible employees may also receive bonuses or other forms of incentive pay

• Comprehensive benefits package includes medical, dental, vision insurance, retirement plans, and tuition reimbursement

Application Instructions

To apply, submit an up-to-date resume (PDF or Word format) and complete the required screening questionnaire by 5 PM on July 31, 2025.

Equal Opportunity Statement

FedEx Dataworks is an Equal Opportunity Employer. We value diversity and are committed to an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability, or veteran status.

Accommodation Notice

We are committed to ensuring access and opportunity for all candidates. If you require a reasonable accommodation during the application or interview process, please contact: DataworksTalentAcquisition@corp.ds.fedex.com

💰 High-Paying Role — Check It Out

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