Decision Scientist Lead

About the job

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 : 14 "Please note that the Job ... will close at 12am on Posting Close date, so please submit your application prior to the Close Date" Responsibilities: • Lead the development and implementation of advanced analytical models and algorithms to support decision-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 junior 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. Qualifications: • Master's 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. • Proficiency in programming languages such as Python, R, or SQL. • 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 decision-making processes.

Requirements

• Statistical analysis
• Machine learning
• Data visualization
• Python
• R
• Azure

Qualifications

• Master's 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

Preferred Technologies

• Statistical analysis
• Machine learning
• Data visualization
• Python
• R
• Azure

About the 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.