Job Summary: Lead the development of sophisticated recommendation algorithms that power personalized content discovery across JioStar's platform, driving measurable improvements in user engagement, satisfaction, and retention through data-driven innovations.
About the team:
At JioHotstar, the Viewer Experience (VX) org is at the heart of how millions discover, engage with, and fall in love with our platform. We own the end-to-end user journey—from first app launch to daily habit loops—across Search, Personalization, Watch Experience, Interactivity, and more. We blend world-class engineering, ML, design, and data to deliver a seamless, personalized, and engaging OTT experience at massive scale. If you're passionate about building immersive, intelligent, and performant user experiences that delight a billion users, join us in shaping the future of streaming.
Key responsibilities:
Lead the vision and strategy across the JioStar platform, identifying opportunities to enhance personalization and content discoveryDesign and develop sophisticated recommendation models leveraging collaborative filtering, content-based techniques, deep learning, and hybrid approachesTranslate complex business requirements into data science solutions, driving alignment across product, engineering, and business stakeholdersBuild evaluation frameworks and metrics that measure recommendation quality across dimensions including relevance, diversity, freshness, and business impactLead A/B testing and experimental design to validate algorithmic improvements and quantify business impactDevelop novel approaches to recommendation challenges including cold-start problems, exploration-exploitation tradeoffs, and multi-objective optimizationCollaborate closely with ML Engineering to ensure algorithms can be efficiently implemented at scaleAnalyze user behavior patterns to identify segments and personalization opportunitiesProvide mentorship to junior data scientists and establish best practices for the data science organizationStay current with research in recommendation systems and personalization, bringing innovative approaches to our platform
Skills and attributes for success:
Deep expertise in recommendation system algorithms, including collaborative filtering, content-based, neural networks, and multi-stage approachesExperience with candidate generation, ranking, and slate optimization for personalized user experiencesStrong background in reinforcement learning, bandits, and long-term reward modeling for recommendation systemsExperience with transformer architectures, LLMs, and their application to personalizationKnowledge of RLHF reward modeling/alignment techniques for improved recommendation systemsHands-on experience with Python, SQL, and TensorFlow/PyTorch for implementing and evaluating algorithmsKnowledge of multi-task learning, transfer learning, and embedding techniques for users, items, and contextsUnderstanding of content life cycles, seasonality, and timing's impact on recommendation strategiesProven track record of developing recommendation systems that drive meaningful business outcomesExperience with experimental design and A/B testing methodologies for recommendation algorithmsAbility to balance algorithmic exploration with user enjoyment in recommendation designStrong leadership capabilities with demonstrated experience mentoring junior data scientists
Preferred education and experience:
Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 7+ 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.
