Sr. Data Scientist

As a Senior Marketing Data Scientist at People Inc. entertainment brands, you will be responsible for developing and deploying marketing-focused analytical and machine learning solutions. Your role will involve working at the intersection of customer analytics, experimentation, and growth strategy by closely partnering with Marketing, Product, and Editorial teams. Key Responsibilities: - 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 such as cohorts and archetypes - Create and maintain models for Lifetime Value (LTV), churn, and propensity to support acquisition and retention strategies - Collaborate with cross-functional teams to support data-informed decisions - Communicate findings clearly through analyses, dashboards, and presentations Qualifications Required: - Masters or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or a similar quantitative field - 3+ years of experience applying data science to consumer-facing and marketing-focused problems - Strong proficiency in Python and SQL for data analysis and model development - Hands-on experience with Gradient Boosting libraries (e.g., XGBoost, LightGBM, CatBoost) and deep learning frameworks like PyTorch and Tensorflow - Demonstrated experience in designing and analyzing online experiments (A/B testing) - Ability to effectively communicate complex analyses to non-technical marketing and business stakeholders Additional Company Details: Designation: Senior Data Scientist, 1 Working Hours: 1:00 PM to 10:00 PM IST Work Location: EcoWorld, Bengaluru Please note that this position uniquely requires the ability to translate product questions into data-driven insights, track user engagement metrics, collaborate with various stakeholders, and support the development of personalized marketing strategies. As a Senior Marketing Data Scientist at People Inc. entertainment brands, you will be responsible for developing and deploying marketing-focused analytical and machine learning solutions. Your role will involve working at the intersection of customer analytics, experimentation, and growth strategy by closely partnering with Marketing, Product, and Editorial teams. Key Responsibilities: - 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 such as cohorts and archetypes - Create and maintain models for Lifetime Value (LTV), churn, and propensity to support acquisition and retention strategies - Collaborate with cross-functional teams to support data-informed decisions - Communicate findings clearly through analyses, dashboards, and presentations Qualifications Required: - Masters or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or a similar quantitative field - 3+ years of experience applying data science to consumer-facing and marketing-focused problems - Strong proficiency in Python and SQL for data analysis and model development - Hands-on experience with Gradient Boosting libraries (e.g., XGBoost, LightGBM, CatBoost) and deep learning frameworks like PyTorch and Tensorflow - Demonstrated experience in designing and analyzing online experiments (A/B testing) - Ability to effectively communicate complex analyses to non-technical marketing and business stakeholders Additional Company Details: Designation: Senior Data Scientist, 1 Working Hours: 1:00 PM to 10:00 PM IST Work Location: EcoWorld, Bengaluru Please note that this position uniquely requires the ability to translate product questions into data-driven insights, track user engagement metrics, collaborate with various stakeholders, and support the development of personalized marketing strategies.