Description
Data Scientist II - Viewer experience
Team: Data Science & Analytics
Location: Bengaluru
Workplace Type: onsite
Job Summary: As a Data Scientist II, you 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.
Key responsibilities:
- Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies
- Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue
- Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities
- Collaborate closely with cross-functional teams, including Data Engineering, Product Management, and Business teams, to understand business challenges and deploy end-to-end solutions
- Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights
- Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact
- Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models
- Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders
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 2-5 years of experience in data science/machine learning
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.
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