Senior Data Scientist

Job Summary:

The role requires building models using GenAI/LLM techniques in addition to traditional ML techniques for enabling - a unique personalized Ad experience that benefits users, advertisers and Jiostar like no other platform does. Forecasting inventory (frequency and reach) for the rich diverse content that varies from live sports to VOD content on the platform. Better performing Ad ecosystem that can optimize on not just simple advertising metrics like clicks but complex advertiser metrics like user conversions and user LTV.

About the team:

JioHotstar is building the advertising platform that will power commerce-led advertising across some of India’s largest digital consumer businesses.

This team sits at the intersection of AdTech, e-commerce, data, and monetisation. The goal is to help retail platforms unlock high-intent advertising inventory across the full shopping journey - home pages, category pages, product detail pages, cart, order confirmation flows, and personalised placements - while giving advertisers measurable outcomes.

Key responsibilities:

• Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform
• Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue
• Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities
• Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions
• Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights
• Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact
• Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform
• Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders

Skills and attributes for success:

• Proven experience in data science and machine learning preferably in AdTech or related industries
• Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)
• Expertise in building and deploying machine learning models into production systems