Staff Data Scientist Viewer experience
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Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Summary:Lead the development of sophisticated recommendation algorithms that power personalized content discovery across JioStars platform driving measurable improvements in user engagement satisfaction and retention through data-driven innovations.
About the team:
The Viewer experience team focuses on revolutionizing content discovery across JioStars platform. Our aim is to provide users with an intuitive and personalized experience enabling seamless exploration and enrichment of their interests. Our data science team develops advanced algorithms that understand user preferences and content relationships to deliver relevant recommendations at scale.
Working alongside ML engineers developers designers and content curators we translate business challenges into algorithmic solutions that analyze user preferences and behaviors to deliver immersive content discovery experiences. Our work directly influences how millions of users discover content daily making our team a critical driver of user engagement and business success. We embrace a culture of experimentation rigorous evaluation and continuous improvement to enhance our recommendation capabilities.
Key responsibilities:
- Lead the vision and strategy for recommendation algorithms across the JioStar platform identifying opportunities to enhance personalization and content discovery
- Design and develop sophisticated recommendation models leveraging collaborative filtering content-based techniques deep learning and hybrid approaches
- Translate complex business requirements into data science solutions driving alignment across product engineering and business stakeholders
- Build evaluation frameworks and metrics that measure recommendation quality across dimensions including relevance diversity freshness and business impact
- Lead A/B testing and experimental design to validate algorithmic improvements and quantify business impact
- Develop novel approaches to recommendation challenges including cold-start problems exploration-exploitation tradeoffs and multi-objective optimization
- Collaborate closely with ML Engineering to ensure algorithms can be efficiently implemented at scale
- Analyze user behavior patterns to identify segments and personalization opportunities
- Provide mentorship to junior data scientists and establish best practices for the data science organization
- Stay 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 approaches
- Experience with candidate generation ranking and slate optimization for personalized user experiences
- Strong background in reinforcement learning bandits and long-term reward modeling for recommendation systems
- Experience with transformer architectures LLMs and their application to personalization
- Knowledge of RLHF reward modeling/alignment techniques for improved recommendation systems
- Hands-on experience with Python SQL and TensorFlow/PyTorch for implementing and evaluating algorithms
- Knowledge of multi-task learning transfer learning and embedding techniques for users items and contexts
- Understanding of content life cycles seasonality and timings impact on recommendation strategies
- Proven track record of developing recommendation systems that drive meaningful business outcomes
- Experience with experimental design and A/B testing methodologies for recommendation algorithms
- Ability to balance algorithmic exploration with user enjoyment in recommendation design
- Strong leadership capabilities with demonstrated experience mentoring junior data scientists
Preferred education and experience:
- Bachelors in Computer Science Statistics Mathematics or related quantitative field with 10 years of experience in applied data science including at least 5 years working specifically with recommendation systems.
- Experience in streaming media entertainment or similar content platforms strongly preferred.
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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Required Experience:
Staff IC
About Company
JioStar combines the power of Reliance’s Viacom18 and Disney Star, delivering unmatched entertainment with 120+ TV channels and two leading streaming platforms. Explore a new era of content with JioStar.
