{"id":101375,"url":"https://alion.io/job/jio-star-staff-data-scientist-viewer-experience","title":"Staff Data Scientist - Viewer experience","company":{"id":8901,"name":"JioStar","domain":"jiostar.com","url":"https://alion.io/company/jio-star","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":40,"ghost_share":0,"stale_share":0.925,"repost_share":0.025,"time_to_fill_p50_days":44,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transfer Learning","optional":false}],"status":"live","first_seen_at":"2026-06-01T00:00:00Z","employer_posted_date":"2026-06-01","last_verified_at":"2026-10-25T02:22:01Z","board_verified":true,"closed_at":null,"days_open":146,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":145},"description":"Job Summary: Lead the development of sophisticated recommendation algorithms that power personalized content discovery across JioStar's platform, driving measurable improvements in user engagement, satisfaction, and retention through data-driven innovations.\nAbout the team: The Viewer experience team focuses on revolutionizing content discovery across JioStar's 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.\nWorking 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.\nKey responsibilities:\nLead the vision and strategy for recommendation algorithms across the JioStar platform, identifying opportunities to enhance personalization and content discovery\n\nDesign and develop sophisticated recommendation models leveraging collaborative filtering, content-based techniques, deep learning, and hybrid approaches\n\nTranslate complex business requirements into data science solutions, driving alignment across product, engineering, and business stakeholders\n\nBuild evaluation frameworks and metrics that measure recommendation quality across dimensions including relevance, diversity, freshness, and business impact\n\nLead A/B testing and experimental design to validate algorithmic improvements and quantify business impact\n\nDevelop novel approaches to recommendation challenges including cold-start problems, exploration-exploitation tradeoffs, and multi-objective optimization\n\nCollaborate closely with ML Engineering to ensure algorithms can be efficiently implemented at scale\n\nAnalyze user behavior patterns to identify segments and personalization opportunities\n\nProvide mentorship to junior data scientists and establish best practices for the data science organization\n\nStay current with research in recommendation systems and personalization, bringing innovative approaches to our platform\n\nSkills and attributes for success:\nDeep expertise in recommendation system algorithms, including collaborative filtering, content-based, neural networks, and multi-stage approaches\n\nExperience with candidate generation, ranking, and slate optimization for personalized user experiences\n\nStrong background in reinforcement learning, bandits, and long-term reward modeling for recommendation systems\n\nExperience with transformer architectures, LLMs, and their application to personalization\n\nKnowledge of RLHF reward modeling/alignment techniques for improved recommendation systems\n\nHands-on experience with Python, SQL, and TensorFlow/PyTorch for implementing and evaluating algorithms\n\nKnowledge of multi-task learning, transfer learning, and embedding techniques for users, items, and contexts\n\nUnderstanding of content life cycles, seasonality, and timing's impact on recommendation strategies\n\nProven track record of developing recommendation systems that drive meaningful business outcomes\n\nExperience with experimental design and A/B testing methodologies for recommendation algorithms\n\nAbility to balance algorithmic exploration with user enjoyment in recommendation design\n\nStrong leadership capabilities with demonstrated experience mentoring junior data scientists\n\nPreferred education and experience:\nBachelor's 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.\n\nExperience in streaming media, entertainment, or similar content platforms strongly preferred.\n\nAbout Us\nPerched 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.\nJioStar 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.","description_format":"text","description_chars":4918,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-06-01T00:00:00Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.463,"p_room":0.28,"age_days":145,"expected_fill_days":44,"reasons":["conf:52","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/jio-star-staff-data-scientist-viewer-experience","json_url":"https://alion.io/job/jio-star-staff-data-scientist-viewer-experience.json","meta":{"generated_at":"2026-10-25T02:44:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4166,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8901},"rest":"https://alion.io/mcp/rest/get_company?id=8901"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjio-star-staff-data-scientist-viewer-experience"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjio-star-staff-data-scientist-viewer-experience"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjio-star-staff-data-scientist-viewer-experience"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/jio-star-staff-data-scientist-viewer-experience\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjio-star-staff-data-scientist-viewer-experience"}]}