Lead Decision Scientist

What can you expect as a FedEx team member? Career Mobility and Development : When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs. Total Compensation and Benefits Package : We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being. Equal Opportunities Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity. We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities. " Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" Company: INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd. City: Mumbai Scheduled Weekly Hours: 42.5 Worker Type: Regular Posting Start Date 22-Oct-2026 Posting Close Date: 23-Oct-2026 Job Family: FXE-MEISA: Decision Scientist Position Summary: Grade :T6 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: Job Description: Lead Data Scientist Job Summary We are seeking an experienced and strategic Lead Data Scientist to head our predictive modeling and advanced analytics initiatives. In this crucial role, you will be instrumental in designing and building machine learning-based forecasting models to accurately predict demand and revenue. You will work at the intersection of data, technology, and business, collaborating with cross-functional and cross-regional teams to drive data analysis, create strategy logic, and implement high-impact forecasting solutions. As a technical leader, you will provide clear requirements to technology teams and communicate seamlessly with global stakeholders to ensure our data strategies deliver the best possible customer experience. Key Responsibilities Model Development: Design, build, and deploy robust machine learning-based forecasting models to predict demand and revenue. Strategic Collaboration: Work closely with cross-functional and cross-regional teams to lead data analysis, monitoring, and forecasting initiatives. Implementation & Logic: Create the underlying logic for new data strategies and oversee their end-to-end implementation. Technical Leadership: Provide clear, actionable requirements to junior data scientists and technology teams regarding data attributes, model specifications, and platform needs. Stakeholder Communication: Engage and communicate with global stakeholders, translating complex technical models into clear business value to ensure the delivery of a superior customer experience. Required Skills & Qualifications Core Technical Skills Programming & Environments: High proficiency in Python, PySpark, BigQuery, and Google Colab. Cloud Platforms: Deep expertise in Google Cloud Platform (GCP) is preferred; experience with Microsoft Azure is a strong plus. Data Visualization: Strong capability in Power BI (PBI) is preferred; experience with Looker Studio is optional but beneficial. Advanced Engineering & Operations Machine Learning Operations: Extensive experience with MLOps practices for deploying, monitoring, and maintaining models in production. Data Engineering: Solid foundation in Data Engineering principles to ensure efficient data pipelines and architecture. Version Control & Deployment: Proficiency in using GitHub and building/managing CI/CD pipelines for seamless integration and delivery. Emerging Technologies: Knowledge of or hands-on experience with Agentic AI and related advanced AI frameworks. Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills