Assistant Manager-Data Science-Data Scientist

Role Overview: As a Data Scientist in this role, you will be responsible for leveraging structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. You will develop and deliver impactful analytical tools and solutions by employing statistical modeling, machine learning, and data science techniques to uncover business insights and support strategic decision-making. Your work will involve designing and applying advanced predictive and machine learning models across different areas such as clustering, classification, time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. Additionally, you will utilize generative AI and large language models to develop and implement personalized content and messaging strategies across diverse media channels to enhance audience engagement and campaign effectiveness. Your role will also require you to assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy, analyze consumer behavior trends, perform cross-channel attribution analysis, monitor key engagement metrics, interpret complex analytical insights, and support scalable deployment of data products by following best practices in CI/CD processes. Key Responsibilities: - Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. - Develop and deliver impactful analytical tools and solutions utilizing statistical modeling, machine learning, and data science techniques. - Design and apply advanced predictive and machine learning models including clustering, classification, time series forecasting, logistic regression, and econometric models. - Utilize generative AI and large language models to develop and implement personalized content and messaging strategies across diverse media channels. - Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy. - Analyze consumer behavior trends and shifts across various digital touchpoints, perform cross-channel attribution analysis, and monitor key engagement metrics. - Interpret complex analytical insights and translate them into clear, actionable business strategies. - Support scalable deployment of data products by following best practices in CI/CD processes. Qualifications: - Masters or PhD in data Science, statistics, computer science, or related quantitative field. - 5+ years experience in data science roles with demonstrated impact on retention, engagement, or churn reduction. - Advanced skills in Python/R, SQL, and experience with ML libraries such as scikit-learn, XGBoost, TensorFlow/PyTorch. - Strong background in building predictive churn models, CLV, causal inference, and uplift modeling. - Experience leveraging cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks architecture for scalable data science workflows. Role Overview: As a Data Scientist in this role, you will be responsible for leveraging structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. You will develop and deliver impactful analytical tools and solutions by employing statistical modeling, machine learning, and data science techniques to uncover business insights and support strategic decision-making. Your work will involve designing and applying advanced predictive and machine learning models across different areas such as clustering, classification, time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. Additionally, you will utilize generative AI and large language models to develop and implement personalized content and messaging strategies across diverse media channels to enhance audience engagement and campaign effectiveness. Your role will also require you to assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy, analyze consumer behavior trends, perform cross-channel attribution analysis, monitor key engagement metrics, interpret complex analytical insights, and support scalable deployment of data products by following best practices in CI/CD processes. Key Responsibilities: - Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. - Develop and deliver impactful analytical tools and solutions utilizing statistical modeling, machine learning, and data science techniques. - Design and apply advanced predictive and machine learning models including clustering, classification, t