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