Data Scientist

Data Scientist – CRM Marketing

Role Overview

We are looking for a highly motivated Data Scientist to join our Customer Retention Marketing and Customer Analytics team. The ideal candidate should have hands-on experience in building and deploying machine learning models, solving business problems through analytics, and translating customer data into actionable insights.

Required Skills \& Qualifications

Experience

• 2–5 years of experience in Data Science, Machine Learning, Marketing Analytics, or Customer Analytics.
• Proven experience in developing and deploying machine learning models in a production or business environment.
• Model Explainability, Ensemble Learning Techniques, Imbalanced Classification Handling, Survival Analysis and Time-based Validation and Model Monitoring and Drift Detection.
• Exposure to Embedding Models, Graph Analytics and Graph Neural Networks (, and Graph based recommendation systems.
• Strong understanding of customer behavior analytics and customer journey analysis.
• Experience with hyper-personalization frameworks and recommendation strategies.
• Experience working with clickstream, transactional, and customer engagement datasets.

Technical Skills

• Strong proficiency in Python/PySpark for data science and machine learning.
• Advanced SQL skills with experience working on large-scale datasets.
• Excellent Excel skills for data analysis and business reporting.
• Cloud platforms and distributed data processing is a plus.

Key Responsibilities

• Develop and deploy machine learning models to drive customer acquisition, retention, reactivation, and cross-sell initiatives.
• Design and implement recommendation engines and hyper-personalization solutions to improve customer engagement and conversion.
• Perform customer segmentation, behavioral analysis, propensity modeling, churn prediction, CLTV prediction, and next-best-action modeling.
• Partner with Product, Marketing, CRM, and Engineering teams to translate business requirements into scalable data science solutions.
• Conduct A/B testing, campaign measurement, uplift modeling, and marketing effectiveness analysis.
• Build robust data pipelines, feature engineering frameworks, and model monitoring processes.
• Build data-driven solutions to understand customer behavior, optimize customer journeys, improve engagement and retention, and deliver personalized experiences across marketing channels.
• Communicate insights and model recommendations effectively to business stakeholders.

Preferred Background

• Experience in E-commerce, Retail, CRM Marketing, Customer Analytics, Loyalty Programs, or Digital Marketing Analytics.
• Experience working with customer transaction data, clickstream data, campaign data, and recommendation systems.
• Ability to understand business problems and convert them into measurable data science solutions.

Education

• Bachelor's or Master's degree in Computer Science/IT, Statistics, Mathematics, Data Science, Data Engineering.

Location:

Mumbai

Experience:

2–5 Years

This role offers an opportunity to work on one of India's largest customer ecosystems and solve high-impact problems at the intersection of Data Science, CRM Marketing, and E-commerce.