Data Scientist III

The Data Scientist III plays a pivotal role, focused on driving data science innovation within Dataworks, helping to define and build the Dataworks organization and leading the delivery of key business initiatives. S/he acts as a "universal translator" between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist III will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large datasets and solve difficult analytical problems, applying advanced methods. S/he will drive the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.

Takes ownership over select data science initiatives. Advances Dataworks' broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Anchors current best practices by driving the design and build of reusable data science assets. Simultaneously works to keep Dataworks on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads junior data scientists in modeling and development to support operations initiatives and strategic programs, through the use of descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and use of database tools and/or other approaches in mathematical analysis. Applies understanding of ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides guidance to less senior team members to drive results. Works with cross-functional teams.

• Understanding in depth both the business and technical problems Dataworks aims to solve
• Exploring data and crafting models to answer core business problems that may not have a common blueprint
• Driving the invention of new approaches and algorithms for tackling data intensive problems
• Pioneering R&D efforts to rapidly understand and assimilate state of the art methods
• Scaling up from "laptop-scale" to "cluster scale" problems by driving efforts to standardize and industrialize solutions
• Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines and organizational backgrounds
• Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement
• Championing best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

Essential Functions

• Exploring data and crafting models to answer core business problems that may not have a common blueprint
• Driving the invention of new approaches and algorithms for tackling data intensive problems
• Pioneering R&D efforts to rapidly understand and assimilate state of the art methods
• Scaling up from "laptop-scale" to "cluster scale" problems by driving efforts to standardize and industrialize solutions
• Championing best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
• Works with Engineering partners to develop dashboards for end users through production deployment processes
• Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines and organizational backgrounds
• Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement
• Work hand in hand with business partners to develop tools that deliver value to the end users
• Regularly lead demo sessions and presentations with senior leadership

Knowledge, Skills, and Abilities

• Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
• A track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
• Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
• Ability to context-switch, to provide support to dispersed teams which may need an "expert hacker" to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
• Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
• An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
• Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews

Preferred Qualifications

• Use of agile and devops practices for project and software management including continuous integration and continuous delivery
• Demonstrated expertise in working with some of the following common languages and tools:
• SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core machine learning frameworks
• Python, Scala, Java and other modern programming languages
• MLFlow, Databricks, Spark, Kafka and other data tools and frameworks
• Experience building PowerBI Dashboards that can efficiently handle large amounts of data without performance impacts

Minimum Education

Master's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred.

Minimum Experience

Three-Four (3-4) years' work experience in Master's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred.), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive knowledge and experience in conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements

Domicile Information

This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need.

Preferred Qualifications:

Pay Transparency: 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.

Pay: U.S. Pay Range: $11,633 / per month $13,960 / per month

Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 2/21/25

FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact

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