Data Scientist II

Overview

Job Summary: As a Data Scientist II, you will be involved in building solutions to power ad delivery, targeting, and performance optimization across live sports and entertainment. Role involves developing inventory forecasting models, click-through rate (CTR) and conversion rate (CVR) predictors, and demographic inference systems using advanced models. You will also drive the application of large language models (LLMs) and GenAI for contextual ad targeting and intelligent advertiser tooling. This role is pivotal in scaling data-driven monetization and enhancing the precision, reach, and impact of digital advertising across JioHotstar.

About the team: JioStar’s Ad Platform is among the top video advertising platforms in India - and we’re aiming higher. With deep expertise across Video-On-Demand, Live Sports, and Ad Monetization, our vision is to build the most effective and scalable adtech ecosystem in the world. Our engineering team builds across the full adtech stack - from high-throughput backend services to deeply integrated, high-impact ad experiences on client platforms. Name a technology, and chances are we’ve worked with it. But more than the tools, it’s the problems we solve that make the work exciting. If you’re excited about building fast, learning continuously, and working on a product that sits at the center of content, monetization, and user experience, we’d love to talk.

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
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)
• Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques
• Should be comfortable leveraging LLMs and internals
• Strong problem-solving skills with the ability to translate business problems into data science solutions

Preferred education and experience:

• Bachelors/Master's in Computer Science, Statistics, Mathematics, or related quantitative field with 2-4 years of experience in data science/machine learning

About Us

Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.

JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.