Sr. Data Scientist - Data Scientist Advisor

Federal Express Corporation is seeking qualified applicants for Sr. Data Scientist and Data Scientist Advisorpositions.

By applying to this posting, you may be considered for either role, depending on your qualifications and experience.

• Supports service measurement, improvement, and goaling activities through advanced exploratory data analysis and statistics. Includes quantification of current, historical, or future “what if” scenarios using detailed scan data, which necessitates frequent and iterative use of Spark and big data processing instead of traditional SQL.
• Provides tradeoff quantifications between service, cost, revenue, and customer experience for different scenarios through exploratory data analysis and mathematical reasoning. Requires critical thinking about orders of magnitude and asymptotic behavior of trends.
• Develops fact bases to help build strategic narratives of opportunity areas through self-directed exploration of scan and service data.
• Explores enhancements to service measurement and improvement activities through development and calculation of new metrics and the application of statistical process control (SPC).
• Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
• Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges.
• Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems.
• Analyzes data from various databases to drive optimization and improvement of product development and business strategies.
• Ensures accuracy and quality of data, including reconciliation from disparate sources.

Job Profile Summary

Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives. Leads staff in descriptive, 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 executes solutions form initial concept to fully tested production and communicates results to a broad range of audiences.
• Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
• Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making.
• Mentors less senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments.
• Provides consultation to senior leadership on a normal basis.
• Performs other duties as assigned.

Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field. Related experience may offset degree requirements and related education/degree may offset experience requirements.

Five years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.

Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication skills. Proven leadership skills.

Job Profile Summary

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 Fed Ex is a leader in Business Intelligence. Leads lower level Data Scientists in descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced…