Data Scientist II - Viewer experience at JioStar

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Pandas, Scikit-learn, TensorFlow, PyTorch, Big Data, Hadoop, Spark, AWS, Google Cloud, Statistical Analysis, Data Mining, Predictive Modeling

Industry

Broadcast Media Production and Distribution

Description

Job Summary: As a Data Scientist II, you will build and optimize end-to-end personalization systems, refining scoring, ranking, and eligibility models; the role emphasizes robust experimentation, model monitoring, and alignment with lifecycle-based objectives, leveraging advanced ML and data insights to address cold starts, data drift, and explainable outcomes. 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. \n Key responsibilities: Analyze large-scale user behavior and content metadata to uncover actionable insights and build impactful personalization models Design, develop, and deploy ML models including collaborative filtering, content-based recommendations, sequence models, and retrieval-ranking pipelines Integrate models into production systems ensuring low-latency, high-accuracy performance at scale Collaborate with engineers, product managers, designers, and data scientists to define personalization 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 personalization quality Leverage LLMs and embeddings to improve personalization for underrepresented content, new users, and diverse formats Present technical strategies and results to cross-functional stakeholders and leadership Skills and attributes for success: Proven experience in data science and machine learning 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 \n 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.

Responsibilities

Analyze large-scale user behavior and content metadata to build impactful personalization models. Collaborate with cross-functional teams to define personalization goals and drive feature impact across user journeys.