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Lead - Data Scientist

FedEx Express Transportation and Supply Chain Services LimitedBengaluru, Karnataka
Full-timeSenior
👁️ 0 views📝 0 applicationsPosted 6/25/2026Expires 8/23/2026

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Job Description

Job Title: Data Scientist - Lead Company: FedEx Location: Bangalore About FedEx: FedEx is a global leader in logistics, offering a broad portfolio of transportation, e commerce, and business services. With a commitment to innovation and customer satisfaction, FedEx continually seeks to optimize its operations and enhance the customer experience.

Role Overview

We are seeking an experienced and highly motivated Lead Data Scientist to join our Customer Analytics team. This role requires a strong blend of advanced analytics expertise, business acumen, leadership, and stakeholder management skills.

The ideal candidate will lead the development of data-driven solutions that enhance customer understanding, predict future behavior, personalize customer experiences, and drive business growth.

This role will play a critical part in optimizing the customer lifecycle through advanced analytics, machine learning, and actionable business insights.

Key Responsibilities

Customer Analytics & Insights: Analyze customer interactions across multiple touchpoints to uncover behavioral patterns, trends, and growth opportunities. Develop customer segmentation frameworks based on behavioral, demographic, transactional, and engagement data to enable targeted business and marketing strategies.

Generate actionable insights that support customer acquisition, retention, loyalty, upsell, and cross-sell initiatives.

Develop and enhance Churn, X-sell/ Up-sell, Customer Lifetime Value (CLTV) models to assess long-term customer value and inform retention and investment strategies Predictive Modeling & Data Science: Design, develop, and deploy advanced predictive models for customer churn, customer growth, loyalty, propensity scoring, and high-value customer identification.

Lead the application of descriptive, diagnostic, predictive, prescriptive, and ensemble modeling techniques to solve complex business challenges. Design and evaluate controlled experiments and test-and-learn frameworks to measure t

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