Decision Scientist Senior II

About the job

Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date. What your main responsibilities are: 1. Conduct in-depth analysis of complex data sets to uncover actionable insights and trends. 2. Develop and deploy predictive models to forecast business outcomes and support decision-making processes. 3. Apply optimization techniques to improve business processes and resource allocation. 4. Design and implement decision support systems that enable stakeholders to make data-driven decisions. 5. Design and analyze experiments to evaluate the effectiveness of business strategies and interventions. 6. Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities. 7. Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities. 8. Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly. Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred. Relevant work experience in decision science based on the following number of years: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills and Abilities: • Fluency in English • Analytical Skills • Accuracy & Attention to Detail • Numerical Skills • Planning & Organizing Skills • Presentation Skills • Statistical and Mathematical Knowledge • Data Modeling and Visualization Skills • Programming Skills Great Places to Work (GPTW) Certified (2025-2026) 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.

Requirements

• Data Analysis
• Predictive Modeling
• Optimization Techniques
• Decision Support Systems
• Collaboration
• Machine Learning

Qualifications

• Bachelor's degree in Computer Science or equivalent
• Master's degree or PhD preferred

Preferred Technologies

• Data Analysis
• Predictive Modeling
• Optimization Techniques
• Decision Support Systems
• Collaboration
• Machine Learning

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. 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 People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. 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.