Job description

Data Scientist Leadership Provides expert leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives and works on the leading edge of technology, tools, and methodology to ensure that FedEx is a leader in Business Intelligence. Leads lower-level Data Scientists in descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and implements solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Expert in the use of all data types, statistical and quantitative analysis, explanatory and high- complexity predictive modeling and fact-based management to drive decision making. Leads cross functional projects and programs. Routinely works on multiple highly complex assignments concurrently. Performs both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing, network analysis, sentiment analysis, and classification) and quantitative analysis (e.g., clustering regression, pattern recognition, descriptive and inferential statistics) on large data sets to understand trends and relationships between variables to gain predictive insights and drive business results. Designs and implements experiments to answer targeted questions, solve known issues and suggest/influence the direction of the business by effectively communicating with business partners and functional leaders to understand and prioritize key business challenges. Guides others in the collection of new data, refinement strategy, researches, tests, recommends, and implements improvements in the tools and techniques used by FedEx to manage and access data and information. Prioritizes problems so that the team works on the most valuable cases; leads investigations into multiple streams of data to solve complex business problems. Designs and implements reporting dashboards that track and visually communicate key business metrics and provide actionable insights. Identifies internal and external information sources, builds strong working relationships with subject matter experts and leadership within FedEx and the external marketplace. Act as primary author of whitepapers and will present various industry topics as it relates to Data Science at conferences. Collaborates with IT departments and communicates changes in industry trends and techniques to ensure the team is current with tools, knowledge and methods. Perform other duties as assigned. Requirements Bachelor's degree in a quantitative discipline required plus 7 years of experience in the job offered or 7 years of experience required in solving analytics problems through the application of data science techniques or work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics. The employer will alternatively accept a Master's degree in a quantitative discipline required plus 5 years of experience in the job offered or 5 years of experience required in solving analytics problems through the application of data science techniques or work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics, in lieu of a Bachelor's degree plus 7 years of experience. The position requires experience with: Database (SQL) - Microsoft SQL Server, Oracle; Data Visualization and Reporting - Microsoft Power BI; Statistical and Predictive modelling; Data analysis and processing ETL; Problem Solving. Experience should include the following: Programming Languages: Python, Scala, R, C++, Java, and other modern languages. Data Tools and Frameworks: MLFlow, Databricks, Spark, Kafka, Hive, Hadoop, and others. Cloud Environments: Azure, AWS, etc. SQL (Structured Query Language). Visualization tools such as Tableau, Spotfire, and Power BI. Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications. Outstanding interpersonal skills, written, and oral communication skill. Proven leadership skills. Ability to design mathematical algorithms that employ predictive and machine learning models. Ability to understand how new tools/methodology can be implemented to solve business problems. Ability to read, analyze, and interpret common technical journals, reports, and related documents. Ability to effectively present information to management, end users, co-workers, or vendors. Ability to perform complex tasks with limited direction. Proficient with MS office applications. Position allows for telecommuting from home within commuting distance of Collierville, TN.

Requirements