Work with cross-functional & cross-regional teams for data analysis, itoring 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 : 14
"Please note that the Job will close at 12am on Posting Close , so please submit your application prior to the Close "
Acts as a technical expert on complex and specialist subject(s)
Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals Supports or leads projects by applying area of expertise
What your main responsibilities are:
Responsibilities:
Lead the development and implementation of advanced analytical models and algorithms to support ision-making processes
Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets
Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions
Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions
Mentor and coach ior members of the team, providing guidance on technical skills and professional development
Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations
Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business
What we are looking for
Qualifications:
Masters or Ph
D degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field
4-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions
Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries
Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design
Experience working with cloud technologies (especially Azure) is preferred
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence ision-making processes
Prior experience in a senior-level role is preferred
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, ital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances
The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx ision, 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 in ative 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 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 ketplace
