Lead Decision Scientist

FedEx; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

FedEx is seeking an experienced Lead Data Scientist to head predictive modeling and analytics initiatives. You will design and build machine learning-based forecasting models to predict demand and revenue, working at the intersection of data, technology, and business with cross-functional and cross-regional teams.

As a technical leader, you will provide clear requirements to technology teams and communicate with global stakeholders to ensure our data strategies deliver the best possible customer

Qualifications

• Lead Data Scientist responsible for forecasting models and analytics strategy.
• Collaborate with cross-functional and cross-regional teams to drive data-driven decisions.
• Communicate requirements to technology teams and stakeholders.

Responsibilities

• Design and deploy robust ML-based forecasting models for demand and revenue.
• Lead data analysis, monitoring, and forecasting initiatives with cross-functional teams.
• Oversee end-to-end data strategy implementation and platform needs.
• Provide clear, actionable requirements to data scientists and tech teams.
• Translate complex models into business value for global stakeholders.

Skills

Python

PySpark

BigQuery

Google Colab

GCP

Azure

Power BI

Looker Studio

MLOps

Data Engineering

GitHub

CI/CD

Agentic AI

Tools

Python

Job description

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.

Grade: T6

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

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, and 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.