Job summary
Job post source
This job is directly from FedEx Dataworks
Job overview
The Data Scientist Multi Level role at FedEx Dataworks involves leveraging AI and data science to optimize last mile delivery and enhance customer satisfaction through intelligent, data-driven solutions.
Responsibilities and impact
Responsibilities include designing and deploying data science and machine learning solutions, collaborating with cross-functional teams, developing reusable data assets, solving complex analytical problems, and supporting projects from concept to production at various scales depending on the level (I, II, III).
Compensation and benefits
Salary ranges from $67,520 to $167,520 depending on level, with eligibility for bonuses and premiums. Benefits include health, vision, dental insurance, retirement plans, and tuition reimbursement.
Experience and skills
Requirements vary by level from a Bachelor's degree and one year experience to a Master's or PhD with 2-4 years of professional experience in data science, machine learning, operations research, or related fields. Skills include programming, statistical modeling, machine learning frameworks, data pipeline management, and agile practices.
Career development
Opportunities include progression through Data Scientist I to III levels with increasing responsibility, mentorship roles, and involvement in pioneering R&D and scaling solutions.
Work environment and culture
FedEx Dataworks emphasizes innovation, collaboration across diverse teams, continuous learning, and adherence to best practices in data science and machine learning within a flexible remote or US-based work environment.
Company information
FedEx Dataworks is a FedEx organization focused on integrating physical and digital logistics through advanced data science to improve supply chains and customer experiences globally.
Team overview
Candidates will join a multi-disciplinary team working on cutting-edge AI and data science projects, collaborating with IT, business, software engineers, and data engineers to drive innovation.
Job location and travel
This position is remote within the United States with flexibility based on business needs.
Application process
Applicants must upload a resume in Word or PDF format and complete a screening questionnaire by 5 PM EST on July 15, 2025.
Unique job features
The role offers unique opportunities to work on large-scale data science projects in logistics, apply state-of-the-art methods, and contribute to reusable data science assets and industrialized solutions.
Company overview
FedEx Dataworks is a subsidiary of FedEx Corporation focused on harnessing data analytics and technology to optimize logistics and supply chain operations. They generate revenue by providing advanced data-driven solutions that enhance efficiency, improve customer experiences, and drive innovation within the FedEx network. Established to leverage the vast amounts of data generated by FedEx's global operations, FedEx Dataworks plays a crucial role in maintaining the company's competitive edge in the logistics industry.
How to land this job
Tailor your resume to highlight your expertise in data science, machine learning, and AI, emphasizing experience with large-scale technical solutions and production deployments relevant to FedEx Dataworks' cutting-edge projects.
Focus on showcasing your ability to collaborate across multi-disciplinary teams including IT, software engineers, and data engineers, and your experience with agile, DevOps, and CI/CD practices, as these are key to the role.
Apply through multiple platforms such as the FedEx Dataworks corporate careers page, LinkedIn, and other job boards that list this position to maximize your application visibility.
Connect with current FedEx Dataworks data scientists or related team members on LinkedIn; use ice breakers like commenting on recent FedEx Dataworks innovations or asking about their experience working on last mile delivery AI projects to start conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'data pipelines,' 'AI,' 'CI/CD,' 'Python,' 'Spark,' and 'model deployment' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate resume tailoring, identify all relevant application sites, and find LinkedIn contacts to network with, saving you time and increasing your chances of landing the job.
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