Decision Scientist - Senior

Description

Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.

Grade : 13

 "Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

Job purpose:

Lead and assist cross-functional & cross-regional teams to provide data analysis, monitoring and forecasting,

creating the logic for and implementing strategies, providing requirements to data scientists and technology teams

on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver

the best possible customer experience

Accountabilities

• Work cross-functionally with teams to analyze usage and uncovering key, actionable insights about customer

behavior. Identify opportunities where scientific techniques can be applied to solve business problems

• Expert use of current and emerging technologies to evaluate trends and develop actionable insights and

recommendationsto management, via understanding of the business model and the information available for

analysis

• Leads staff in the most advanced 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

• Designing and measuring controlled experiments to determine the potential impact of new approaches. Help

with various data analysis and modeling projects

• Place actionable data points and trends in context for leadership to understand actual performance and

uncover opportunities. Take ownership of the end-to-end system from Problem statement to Solution

Delivery and leverage other teams if required

• Research and implement best practices to improve the existing decision science infrastructure. Stay up to date

on burgeoning decision science developments that may affect our business going forward

• Mentors less senior staff. Lead cross functional projects and programs formally preparing and presenting to

management. Routinely work on multiple highly complex assignments concurrently

• Provides consultation to Sr. Leadership on a normal basis

Qualifications & Specifications

• Master’s degree in computer science, engineering, statistics, economics or equivalent

• Proven ability to use modeling, optimization, machine learning or text classification algorithms

• Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics

team in formalizing their internal data flows and related reporting processes

• Data virtualization, analytics, and integration techniques

• Technology Prowess in R/Python/SAS/SQL/ R Shiny and other self-service tools (KNIME/ DataIku etc).

Experience in AI/ Machine Learning, real time analytics and Big data platforms

• Cloud Platforms - AWS, Google or Azure

• Ability to lead, working collaboratively and creatively with business stakeholders

Experience in Revenue Management, Pricing is a plus.

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.