Lead Data Scientist

Location: Bengaluru

Job Title:

Data Scientist - Lead
Company:  Fed Ex

Location:

Bangalore

About Fed Ex:  Fed Ex 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, Fed Ex 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 the effectiveness of business initiatives and customer interventions.
Stay at the forefront of emerging data science methodologies, technologies, and AI/ML advancements, driving innovation within the organization.

Cloud, Data Engineering & Model Operationalization
- Develop, deploy, and monitor machine learning solutions on Azure and/or GCP cloud platforms.
Build and optimize scalable data pipelines using Azure Data Factory and related technologies for automated data ingestion, transformation, and analytics workflows.
Partner closely with Data Engineering, MLOps, and Analytics teams to operationalize and scale advanced analytical solutions in production environments.

Business Partnership & Strategic Leadership
- Collaborate with Marketing, Sales, Commercial, Product, and Analytics teams to align analytical initiatives with business objectives.
Translate complex analytical findings into clear, compelling business recommendations through effective storytelling and executive-level communication.
Provide expert consultation and strategic guidance to senior leadership on customer analytics, growth opportunities, and performance optimization.
Contextualize business performance metrics and trends to uncover risks, opportunities, and strategic actions.

Leadership & Team Development
- Lead cross-functional analytics initiatives from problem definition through solution delivery and business adoption.
Mentor and develop junior data scientists and analysts, fostering a culture of innovation, technical excellence, and continuous learning.
Manage multiple high-priority projects simultaneously while ensuring timely delivery and measurable business impact.
Champion best practices in analytics, machine learning, experimentation, and data-driven decision-making across the organization.

Preferred Qualifications
- Bachelor's or Master’s degree in computer science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline. Advanced degree preferred.
Minimum 8+ years of progressive experience in Data Science, with a strong track record of developing and deploying machine learning solutions that drive measurable business outcomes.
Deep expertise…