FedEx Dataworks is hiring for an fresher entry level REMOTE Data Scientist I role in US

Position:

• Data Scientist I

• Entry-level individual contributor role within the professional category

• Supports data-driven problem solving and insight generation using modern data science and machine learning techniques

• Reports to senior data scientists and collaborates across interdisciplinary teams

Company:

• FedEx Dataworks

• A division within FedEx focused on digital transformation through advanced data capabilities

• Aims to bridge physical and digital aspects of the FedEx logistics network

• Promotes smarter, more efficient global supply chains using data science

Location:

• Memphis, TN, United States

• Remote option available across the United States

Job type:

• Full-time position

Job mode:

• Remote

Job requisition id:

• P25-217686-1

Years of experience:

• 0-3 years

• Open to recent graduates with Master’s degree or Bachelor’s degree with relevant experience

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Company Description

• FedEx Dataworks is an innovative arm of FedEx, built to transform supply chains by blending physical logistics and digital technologies.

• It operates at the intersection of operations, software, data, and artificial intelligence to streamline and improve the FedEx ecosystem and services for customers worldwide.

• As a forward-looking organization, FedEx Dataworks embraces curiosity, innovation, and experimentation, encouraging team members to explore complex problems and apply state-of-the-art methods to solve them.

• The team at FedEx Dataworks uses data to develop scalable and reusable solutions that improve customer experience, operational efficiency, and strategic planning.

• By analyzing patterns and integrating insights across business domains, FedEx Dataworks contributes significantly to shaping the future of the logistics and shipping industry.

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Profile Overview

• The Data Scientist I plays a crucial support role in the FedEx Dataworks team, contributing to data science initiatives under the guidance of senior scientists.

• Responsibilities include participating in model building, research, and prototyping of data science solutions for real-world supply chain problems.

• The individual in this role works across functions such as business, software engineering, data engineering, and IT, acting as a communicator and collaborator across disciplines.

• There’s a strong emphasis on using statistical modeling, machine learning algorithms, and big data tools to drive insights and optimize operational performance.

• A key expectation is the ability to contribute to scalable deployments, code assets, and reusable modeling frameworks, all while ensuring quality, performance, and maintainability.

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Qualifications

• Educational Background:

  • Bachelor’s degree in Computer Science, Applied Mathematics, Operations Research, Statistics, or similar quantitative fields

  • Or Master’s degree in the above disciplines

• Technical Knowledge:

  • Solid foundation in statistics, data science, and machine learning

  • Familiarity with programming languages such as Python, Java, and Scala

  • Experience with machine learning libraries: TensorFlow, PyTorch, Scikit-learn, MLlib

  • Understanding of data frameworks and tools: Spark, Kafka, MLFlow, Databricks

  • Knowledge of optimization modeling tools like CPLEX or Gurobi

• Mathematical Skills:

  • Linear Algebra, Vector Calculus, and statistical inference

  • Comfort with theoretical aspects behind algorithms and data manipulation

• Development Practices:

  • Experience with agile development, DevOps tools, CI/CD practices

  • Familiar with code versioning systems and code review processes

  • Ability to collaborate with distributed teams on code-based deliverables

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Additional Info

• The role involves research, experimentation, and model development across various types of analysis - descriptive, predictive, prescriptive, and ensemble modeling.

• Strong written and verbal communication skills are necessary to explain complex technical topics to non-technical stakeholders.

• A strong “engineering mindset” is valued - one that focuses on rapid prototyping, pragmatic problem solving, and performance tuning.

• Candidates should be comfortable working on abstract or loosely defined problem statements.

• As a remote-first position, successful candidates should be self-driven, adaptable, and capable of independently managing tasks while maintaining close communication with distributed teams.

• FedEx Dataworks emphasizes diversity and inclusion, ensuring equal opportunities for all applicants regardless of race, gender, disability, or veteran status.

• The compensation for this position ranges between $67,520 - $101,280 annually. Additional benefits include health, vision, dental, retirement plans, and tuition reimbursement.

• Interested applicants should upload their resume (in PDF/Word format) and complete the job screening questionnaire before 5 PM EST on 5/20/25.

Please click here to apply.

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