Senior Data Scientist - Viewer experience

Job Summary: The incumbent will be responsible for building sophisticated models to generate deep user insights, enhancing our understanding of platform users. This understanding will be crucial for delivering hyper-personalized content and highly relevant advertisements. The work will involve gathering various user attributes and developing predictive models for key demographics (e.g., gender, age), computing an overall user score, and defining user preferences.

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.
The Foundations team ensures that every user touchpoint with Hotstar is fast, stable, and secure. From cutting app startup time to scaling for unpredictable LIVE spikes, we build the core infra and platforms that power all of JioHotstar. We own Identity, Performance, CRM infra, design systems, and cross-platform consistency—enabling every other team to build boldly and ship reliably.

KEY RESPONSIBILITIES::
• Analyze large-scale user behavior and metadata to uncover actionable insights and build impactful models
• Design, develop, and deploy models and analytical pipelines for user segmentation, behavior prediction, churn analysis, and causal inference to generate actionable user insights
• Integrate models into production systems ensuring low-latency, high-accuracy performance at scale
• Collaborate with engineers, product managers, designers, and data scientists to define interest graph & user preferences goals and drive feature impact across user journeys
• Develop robust A/B test frameworks, analyze experiments, and drive iteration based on performance and user engagement
• Actively monitor model performance, detect data drift, and refine strategies to improve long-term quality
• Leverage LLMs and embeddings to improve personalization for missing user data for new users, and existing
• Present technical strategies and results to cross-functional stakeholders and leadership.

SKILLS & ATTRIBUTES FOR SUCCESS::
• Proven experience in data science and machine learning, preferably in personalization, recommendation systems, or user insights and behavior analysis
• 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
• Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders

Preferred education and experience::
• Bachelors/Masters in Data Science, Statistics, Computer Science, Mathematics, or a related field with 4-7 years of experience in 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.