Description

About FedEx Dataworks:

Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.

We are creating opportunities for FedEx, our customers, and the world at large by:

• Exploring and harnessing data to define and solve true problems
• Removing barriers between data sets to create new avenues of insight
• Building and iterating on solutions that generate value
• Acting as a change agent to advance curiosity and performance

At FedEx Dataworks, we are making supply chains work smarter for everyone.

Company Name: FedEx Dataworks, Inc.

Job Title: Data Scientist Lead

Location: 3680 Hacks Cross Road, Memphis, TN 38125

Job Description: Plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives. Acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. Contributes to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. Works with large data sets and solve difficult analytical problems, applying advanced methods. Leads 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. Provides mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.

Qualifications: Master’s degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline plus 6 years of experience in the job offered or 6 years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. The employer will alternatively accept a Ph.D. in computer science, operations research, statistics, applied mathematics or related quantitative discipline plus 3 years of experience in the job offered or 3 years of work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience in lieu of a Master's degree plus 6 years of experience. Experience is required and must include Python, PySpark, SQL, Java/C++ programming skills; Data visualization skills, such as SAS, Power BI, and Spotfire; Cloud technologies, such as Azure or AWS; Software development platforms such as Visual Studio and Databricks; Optimization solvers such as Gurobi or Cplex. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences. A related advanced degree may offset the related experience requirements. Position can telecommute from home from any location in the U.S.

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 DataworksTalentAcquisition@corp.ds.fedex.com