Lead Data Scientist

Overview

About the Role

We’re looking for exceptional Lead Data Scientist who excels at the intersection of business analytics and machine learning, to join our customer - a multi-billion-dollar US GCC and one of the category creator and world’s most iconic brands - at their Bengaluru hub.

This is an exciting opportunity to work with massive, high-impact datasets, uncover meaningful insights, and shape strategic decisions across the business. Y

ou will translate business challenges into data science solutions, build predictive models that influence strategy, and lead experimentation programs. The ideal candidate is equally comfortable presenting insights to executives and building sophisticated models in Python.

Key Responsibilities

Business Analytics & Strategy

• Partner with leadership to identify high-impact opportunities for analytics and ML
• Conduct deep-dive analyses to understand user behavior and business drivers
• Translate complex findings into clear narratives for executives and stakeholders
• Define KPI frameworks and metrics that align with business objectives
• Quantify ROI and business impact of proposed initiatives

Data Science & Modeling

• Design and deploy predictive models classification, regression, clustering, and forecasting
• Build models for churn prediction, conversion optimization, pricing, and customer segmentation
• Own end-to-end model lifecycle from development through production monitoring
• Apply causal inference techniques to measure true impact
• Develop feature engineering strategies using domain knowledge

Experimentation

• Design and analyze A,B tests to validate product and business decisions
• Ensure statistical rigor through proper experimental design and power analysis
• Establish experimentation best practices across the organization

Leadership

• Mentor data scientists and analysts in technical skills and business thinking
• Foster a culture balancing business impact with technical excellence

Required Qualifications

Education

• Bachelor's/Master`s/PhD in Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or related quantitative field

Must-Have Technical Skills

• SQL: Expert-level proficiency for complex queries and large-scale data analysis
• Python: 5+ years with Pandas, NumPy, Scikit-learn, StatsModels for building production models
• Statistics: Hypothesis testing, regression analysis, A,B testing, causal inference, time series
• Machine Learning: Hands-on experience building classification, regression, and clustering models (logistic regression, random forests, XGBoost, regularization techniques)
• Model validation, cross-validation, and performance evaluation

Experience

• 8+ years in data science or analytics with progressive responsibility
• Track record of deploying models with measurable business impact
• Experience in fast-paced, cross-functional environments

Preferred Qualifications

• Tableau: Dashboard and visualization experience
• Big data technologies (Spark, Hive) and cloud platforms (AWS, GCP, Azure)
• E-commerce, marketplace, or consumer technology experience
• MLOps and model deployment practices

What We Offer

• Hybrid work flexibility with work-life balance
• High-impact work influencing business strategy at scale
• Collaborative culture with world-class teams
• Competitive compensation
• Professional growth and learning opportunities

**This is an urgent role and early joiners will be preferred**