Role Summary We are looking for a Senior Data Scientist with solid hands-on experience in machine learning, deep learning, predictive modeling, and customer intelligence models such as affinity, propensity, and lookalike models. The ideal candidate should be comfortable working with large-scale datasets, building production-ready models, and collaborating with business, product, engineering, and marketing teams to drive measurable impact. The role also requires exposure to Agentic AI, including AI agents, LLM-based workflows, tool-using agents, and automation frameworks.

Key Responsibilities ● Build, validate, and deploy machine learning and deep learning models for business use cases. ● Develop affinity, propensity, recommendation, segmentation, churn, and lookalike models to improve targeting, personalization, and conversion. ● Work on end-to-end data science projects, including problem framing, data exploration, feature engineering, model development, evaluation, and deployment support. ● Analyze customer behavior, transaction patterns, content consumption, campaign responses,



and digital engagement signals. ● Collaborate with product, marketing, business, and engineering teams to translate business problems into scalable data science solutions. ● Design experiments, A/B tests, uplift models, and measurement frameworks to assess model and campaign impact. ● Build scalable data pipelines and reusable modeling frameworks in partnership with data engineering teams. ● Apply deep learning techniques where relevant, including neural networks, embeddings, sequence models, NLP, or transformer-based models. ● Explore Agentic AI use cases such as AI assistants, workflow automation, autonomous task execution, and LLM-powered decision support. ● Present insights, model outcomes, and recommendations to technical and non-technical stakeholders. ● Mentor junior data scientists and help improve data science best practices.

Required Skills and Experience ● 5+ years of experien

📌 Data Scientist (Mumbai)
🏢 HT Digital Streams
📍 Mumbai