The primary focus of this position is to lead and manage a team responsible for developing and implementing data science initiatives to drive strategic business outcomes. Building and nurturing a high-performing data science team through hiring, coaching, mentoring and talent development. Identifying and solving complex business problems using large data and advanced analytics/machine learning techniques. Leading data science/advanced analytics initiatives such as customer data platform optimization, consumer insights modeling, market analytics, forecasting, retail network optimization, pricing analytics, and revenue management modeling. Providing expert guidance to a team of data scientists in the use of machine learning, predictive modeling, quantitative analytics and applied statistics. Developing new analytical approaches and algorithms to address challenging problems. Delivering bottom-line impact through rapid, agile modeling approaches in collaboration with diverse partners. Establishing best practices for machine learning model development, documentation, deployment, version control, automation and scalability. Providing expert guidance and thought leadership to business partners and executive leadership on the application of data science methodologies to high-impact business problems. Perform other duties as assigned.

Requirements

Master's degree in Data Science, Analytics, Business, Computer Science, Operations Research, Statistics, Applied Mathematics, Business Analytics, or related quantitative disciplines required plus 5 years of experience in the job offered or 5 years of experience applying data science, operations research, or data analytics modeling to generate revenue, reduce costs, increase profitability and improve customer experience required. The employer will alternatively accept a PhD degree in Data Science, Analytics, Business, Computer Science, Operations Research, Statistics, Applied Mathematics, Business Analytics, or related quantitative disciplines plus 2 years of experience in the job offered or 2 years of experience in applying data science, operations research, or data analytics modeling to generate revenue, reduce costs, increase profitability and improve customer experience in lieu of a Master's degree plus 5 years of experience. The position requires extensive knowledge in advanced data science/analytics, statistical analysis and machine learning methods as well as experience with the U.S. and international parcel and freight transportation industry and pricing functions. The position requires experience with: diverse machine learning (ML) frameworks; conducting end-to-end analyses, including data gathering, processing, analysis and presentation; strong familiarity with evolving analytics concepts, techniques and technologies; ability to lead a technical team; providing leadership in a general planning or consulting setting; experience as a leader or senior member of multi-functional project teams; strong human relations, organizational/time management, project management and software development skills; interpersonal skills and the ability to present and communicate effectively to executive audiences; technical background in computer science, engineering, data science, machine learning, artificial intelligence, statistics or other quantitative and computational fields; proven track record of data science/data engineer expertise, designing and deploying technical solutions that deliver tangible, ongoing value. Demonstrated ability to deliver projects with a team, often working under tight time constraints to deliver value. Demonstrated expertise in working with common programming languages and tools such as Python, Scala, R, SAS, SQL, C++, Java or other modern programming languages. This position will be hybrid in Collierville, TN and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week. *Supervises 7 employees*