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 (India)
🏢 HT Digital Streams
📍 India