Job Description

Job Summary:

As a Sr. Staff Data Scientist II, you will lead the Ad DS Charter; building performance algorithms to improve the eCPM for SMB campaigns, enhancing Ad serving algorithms to improve yield, and developing predictive models for inventory forecasting to drive Ad revenue growth.

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:

Lead the vision and development of algorithms focused on improving eCPM for SMB ad campaigns across the JioStar platform. Architect enhancements to the ad serving logic with a focus on yield optimization and revenue lift. Build predictive models for inventory forecasting across ad types and formats, leveraging historical trends, seasonality, and real-time signals. Partner with ad operations, product, and engineering to translate business goals into scalable ML/DS solutions. Establish strong offline and online evaluation frameworks for assessing algorithm performance and business impact. Design and lead A/B testing strategies to validate model effectiveness. Mentor junior data scientists, establish technical best practices, and guide roadmap execution. Stay updated on advancements in advertising algorithms, ML strategies, and forecasting techniques, bringing cutting-edge research into production.

Skills and attributes for success:

Proven experience in digital advertising, preferably in programmatic, performance, or display ad environments. Deep understanding of yield optimization, eCPM drivers, and campaign performance metrics. Strong expertise in machine learning and statistical modeling techniques for forecasting and optimization. Experience building and scaling ML systems in production environments with high-throughput and low-latency requirements. Hands-on coding ability in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with ad tech stacks, RTB systems, demand-side platforms (DSPs), and ad servers is a strong plus. Excellent communication and collaboration skills across cross-functional teams.

Preferred education and experience:

Master's or PhD in Computer Science, Applied Math, Statistics, or related quantitative field with 10+ years of experience in applied data science.

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.