Sr. Data Scientist

As a Senior Marketing Data Scientist at People Inc. entertainment brands, your role will involve developing and deploying marketing-focused analytical and machine learning solutions. You will partner closely with Marketing, Product, and Editorial teams to apply statistical modeling and machine learning to various marketing problems such as customer segmentation, acquisition, engagement, retention, and customer LifeTime Value. Key Responsibilities: - Own models and analyses that drive personalization, automated marketing, attribution, experimentation, and lifecycle optimization. - Analyze user behavior to identify engagement patterns, retention trends, and churn signals. - Support the design and evaluation of A/B tests to measure product and campaign impact. - Build and maintain user-level datasets for engagement, activity, and segmentation features. - Develop user segmentation frameworks and models for acquisition, retention, and re-engagement strategies. - Collaborate with cross-functional teams to support data-informed decisions and communicate findings clearly to stakeholders. Qualifications Required: - Masters or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience. - 3+ years of experience applying data science to consumer-facing and marketing-focused problems. - Proficiency in Python and SQL for data analysis and model development. - Hands-on experience with Gradient Boosting libraries (e.g., XGBoost, LightGBM, or CatBoost) and deep learning frameworks like PyTorch and Tensorflow. - Ability to design and analyze online experiments (A/B testing) and communicate complex analyses clearly to non-technical stakeholders. Additional Company Details: - Designation: Senior Data Scientist, 1 - Working Hours: 1:00 PM to 10:00 PM IST - Work Location: EcoWorld, Bengaluru Note: Good to have experience includes working with event-level data, familiarity with product and funnel analytics, foundation in causal inference and Bayesian methods, experience with large-scale analytics platforms, and forecasting models. As a Senior Marketing Data Scientist at People Inc. entertainment brands, your role will involve developing and deploying marketing-focused analytical and machine learning solutions. You will partner closely with Marketing, Product, and Editorial teams to apply statistical modeling and machine learning to various marketing problems such as customer segmentation, acquisition, engagement, retention, and customer LifeTime Value. Key Responsibilities: - Own models and analyses that drive personalization, automated marketing, attribution, experimentation, and lifecycle optimization. - Analyze user behavior to identify engagement patterns, retention trends, and churn signals. - Support the design and evaluation of A/B tests to measure product and campaign impact. - Build and maintain user-level datasets for engagement, activity, and segmentation features. - Develop user segmentation frameworks and models for acquisition, retention, and re-engagement strategies. - Collaborate with cross-functional teams to support data-informed decisions and communicate findings clearly to stakeholders. Qualifications Required: - Masters or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience. - 3+ years of experience applying data science to consumer-facing and marketing-focused problems. - Proficiency in Python and SQL for data analysis and model development. - Hands-on experience with Gradient Boosting libraries (e.g., XGBoost, LightGBM, or CatBoost) and deep learning frameworks like PyTorch and Tensorflow. - Ability to design and analyze online experiments (A/B testing) and communicate complex analyses clearly to non-technical stakeholders. Additional Company Details: - Designation: Senior Data Scientist, 1 - Working Hours: 1:00 PM to 10:00 PM IST - Work Location: EcoWorld, Bengaluru Note: Good to have experience includes working with event-level data, familiarity with product and funnel analytics, foundation in causal inference and Bayesian methods, experience with large-scale analytics platforms, and forecasting models.