Leads a team of engineers that identifies and delivers value for highly complex data driven initiatives. Applies intuitive and professional understanding of industry relevant Data Science, Analytics and Machine Learning technology and frameworks to build innovative solutions leveraging the latest advancements in cloud computing. Works closely in collaboration with other functional areas such as decision science, product design, and other enterprise teams and business partners. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. Supervises: Software Developers.

Requirements

Master’s degree in Computer Science, Information Systems, or a related quantitative field such as Engineering or Mathematics plus 4 years of experience in the job offered or 4 years of equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. The employer will alternatively accept a Bachelor's degree or equivalent* in Computer Science, Information Systems, or a related quantitative field such as Engineering or Mathematics plus 6 years of experience in the job offered or 6 years of equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics, in lieu of a Master's degree plus 4 years of experience. Experience must include the following: Implementation of measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics; Use of data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines; design including design, development and implementation of large batch or online transaction-based systems; Strong understanding of the transportation industry, competitors, and evolving technologies; Evaluation and implementation of best practices, tools and processes for web-based application software, APIs, data access and analysis, including large data sets. Extensive knowledge in product engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements. *Employer will accept one (1) year of directly related experience in lieu of one (1) year of education. This position is eligible for telecommuting and may be located anywhere within the United States excluding Alaska, Hawaii and U.S. territories. 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, 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 [email protected].