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About the role
As a Data Scientist at the CRM Marketing and Customer Analytics team in Mumbai, you will be responsible for utilizing your 2-5 years of experience in Data Science, Machine Learning, Marketing Analytics, or Customer Analytics to drive customer acquisition, retention, reactivation, and cross-sell initiatives. Your role will involve developing and deploying machine learning models, designing recommendation engines, performing customer segmentation, behavioral analysis, propensity modeling, churn prediction, CLTV prediction, and next-best-action modeling. Key Responsibilities: - Develop and deploy machine learning models to enhance customer engagement and conversion rates. - Design recommendation engines and hyper-personalization solutions to improve customer engagement. - Perform customer segmentation, behavioral analysis, propensity modeling, churn prediction, CLTV prediction, and next-best-action modeling. - Collaborate with Product, Marketing, CRM, and Engineering teams to implement scalable data science solutions. - Conduct A/B testing, campaign measurement, uplift modeling, and marketing effectiveness analysis. - Build data pipelines, feature engineering frameworks, and model monitoring processes. - Create data-driven solutions to optimize customer journeys and improve engagement and retention. - Communicate insights and model recommendations to business stakeholders effectively. Qualifications Required: - Bachelor's or Master's degree in Computer Science/IT, Statistics, Mathematics, Data Science, or Data Engineering. - Strong proficiency in Python/PySpark for data science and machine learning. - Advanced SQL skills for working with large-scale datasets. - Excellent Excel skills for data analysis and business reporting. - Experience in E-commerce, Retail, CRM Marketing, Customer Analytics, Loyalty Programs, or Digital Marketing Analytics. - Ability to understand business problems and translate them into measurable data science solutions. - Exposure to Model Explainability, Ensemble Learning Techniques, Imbalanced Classification Handling, Survival Analysis, Time-based Validation, Model Monitoring, Embedding Models, Graph Analytics, and Graph Neural Networks. - Familiarity with customer behavior analytics, hyper-personalization frameworks, recommendation strategies, and cloud platforms for distributed data processing. Working in this role will provide you with the opportunity to work on India's largest customer ecosystems and tackle impactful challenges at the intersection of Data Science, CRM Marketing, and E-commerce. As a Data Scientist at the CRM Marketing and Customer Analytics team in Mumbai, you will be responsible for utilizing your 2-5 years of experience in Data Science, Machine Learning, Marketing Analytics, or Customer Analytics to drive customer acquisition, retention, reactivation, and cross-sell initiatives. Your role will involve developing and deploying machine learning models, designing recommendation engines, performing customer segmentation, behavioral analysis, propensity modeling, churn prediction, CLTV prediction, and next-best-action modeling. Key Responsibilities: - Develop and deploy machine learning models to enhance customer engagement and conversion rates. - Design recommendation engines and hyper-personalization solutions to improve customer engagement. - Perform customer segmentation, behavioral analysis, propensity modeling, churn prediction, CLTV prediction, and next-best-action modeling. - Collaborate with Product, Marketing, CRM, and Engineering teams to implement scalable data science solutions. - Conduct A/B testing, campaign measurement, uplift modeling, and marketing effectiveness analysis. - Build data pipelines, feature engineering frameworks, and model monitoring processes. - Create data-driven solutions to optimize customer journeys and improve engagement and retention. - Communicate insights and model recommendations to business stakeholders effectively. Qualifications Required: - Bachelor's or Master's degree in Computer Science/IT, Statistics, Mathematics, Data Science, or Data Engineering. - Strong proficiency in Python/PySpark for data science and machine learning. - Advanced SQL skills for working with large-scale datasets. - Excellent Excel skills for data analysis and business reporting. - Experience in E-commerce, Retail, CRM Marketing, Customer Analytics, Loyalty Programs, or Digital Marketing Analytics. - Ability to understand business problems and translate them into measurable data science solutions. - Exposure to Model Explainability, Ensemble Learning Techniques, Imbalanced Classification Handling, Survival Analysis, Time-based Validation, Model Monitoring, Embedding Models, Graph Analytics, and Graph Neural Networks. - Familiarity with customer behavior analytics, hyper-personalization frameworks, recommendation strategies, and cloud platforms for distributed data processing. Working in this role will provide you with the opportunity to work o