{"id":133321,"url":"https://alion.io/job/jio-star-senior-data-scientist","title":"Senior Data Scientist","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":45,"ghost_share":0,"stale_share":0.911,"repost_share":0.022,"time_to_fill_p50_days":43,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-08T00:00:00Z","employer_posted_date":"2026-08-08","last_verified_at":"2026-10-17T20:46:53Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Job Title: Senior Data Scientist\nDepartment, Level: Adtech, X22\nLocation: Onsite, Bangalore\nWork Type: Full time\nJob Summary: As a Senior Data Scientist, you will build solutions that power ad delivery, targeting, and performance optimization across live sports and entertainment. The role involves developing inventory forecasting models, click-through rate (CTR) and conversion rate (CVR) predictors, and demographic inference systems using advanced models. You will also drive the application of large language models (LLMs) and GenAI for contextual ad targeting and intelligent advertiser tooling. This role is pivotal in scaling data-driven monetization and enhancing the precision, reach, and impact of digital advertising across JioHotstar.\nAbout the team:\nJioHotstar is building the advertising platform that will power commerce-led advertising across some of India’s largest digital consumer businesses.\nThis team sits at the intersection of AdTech, e-commerce, data, and monetisation. The goal is to help retail platforms unlock high-intent advertising inventory across the full shopping journey - home pages, category pages, product detail pages, cart, order confirmation flows, and personalised placements - while giving advertisers measurable outcomes.\nKey responsibilities:\nAnalyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform\nDesign, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue\nLead data science features from concept to production, ensuring they meet strategic goals and deliver tangible business outcomes. Invest in and enhance model development, testing, and release pipelines for efficient and reliable deployment\nCollaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions\nContinuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights\nDevelop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact\nStay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform\nPresent findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders\nSkills and attributes for success:\nProven experience in data science and machine learning preferably in AdTech or related industries\nStrong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)\nExpertise in building and deploying machine learning models into production systems\nExperience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)\nDeep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques\nShould be comfortable leveraging LLMs and internals \nStrong problem-solving skills with the ability to translate business problems into data science solutions\nPreferred education and experience:\nMaster's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 4-7 years of experience in data science/machine learning\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. 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