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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 4+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 8, 2026. JioStar scores B on the Alion truth index.

Overview
Company
Impact
Profile match
JioStar is an Indian media company created in 2024 by merging Reliance's Viacom18 with Disney's Star India, producing the largest television and streaming business in the country by audience. It operates around a hundred television channels across languages alongside the JioHotstar streaming service, and it holds the Indian Premier League cricket rights that are the single most valuable media property in India. Headquartered in Mumbai and majority controlled by Reliance, it reaches several hundred million viewers and competes with Netflix and Amazon on price as much as on content.

Job Title: Senior Data Scientist

Department, Level: Adtech, X22

Location: Onsite, Bangalore

Work Type: Full time

Job 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.

About the team:

JioHotstar is building the advertising platform that will power commerce-led advertising across some of India’s largest digital consumer businesses.

This 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.

Key responsibilities:

  • Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform
  • 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
  • Lead 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
  • Collaborate 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
  • 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 and the Ads platform
  • 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 preferably in AdTech or related industries
  • 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:

Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 4-7 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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