Data Scientist

3 weeks ago

Memphis, Tennessee, United States FedEx Dataworks Full time
About FedEx Dataworks:


We are a pioneering organization that connects the physical and digital sides of our network to meet today's needs and address tomorrow's challenges. Our mission is to create opportunities for FedEx, our customers, and the world at large by exploring and harnessing data to define and solve true problems.

We are looking for a talented Data Scientist to join our team. As a Data Scientist, you will play a pivotal role in creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives.

Key Responsibilities:

  • 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
  • Leading 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 leading efforts to standardize and industrialize solutions
  • Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines
  • Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement
  • Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

Requirements:

  • Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
  • A compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value
  • Direct experience having built and deployed robust, complex production systems through Cloud technologies 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
  • 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
  • Ability to work with distributed teams on code-based deliverables using version control
  • Solid theoretical grounding in the mathematical core of the major ideas in data science
  • Expert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject
  • Deep fluency in the mathematical 'primitives' and generalizations of data science - e.g., expertise in Linear Algebra, and Vector Calculus
  • Use of agile and devops practices for project and software management including CI/CD; process improvement and quality management experience (e.g., Lean, Six Sigma, QDM expert)
  • Demonstrated expertise in working with some of the following common languages and tools:
  • SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworks
  • Python, Scala, R, C++, Java and other modern programming languages
  • MLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworks
  • CPLEX, Gurobi and other similar optimization modeling packages

Preferred Qualifications:

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

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 salary information represents the job level minimum and the job level maximum.

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:

Annual Range $116,000 - $186,240

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.

Application Criteria:

Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 09/06/24.

EEO Statement:

FedEx Dataworks is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.

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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