JioStar

Staff Data Scientist

Reposted 5 Days Ago

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Bengaluru, Bengaluru Urban, Karnataka

In-Office

7-7 Annually

Senior level

Consumer Web • Digital Media • News + Entertainment

A legacy of entertainment, now united as one. Welcome to JioStar - where stories and experiences are infinite!

The Role

The Staff Data Scientist designs machine learning models to drive subscription growth through insights, collaborates with cross-functional teams, and evaluates data quality.

Summary Generated by Built In

Job Summary: With a mission to accelerate user acquisition through data-driven intelligence, as a Staff Data Scientist, you will design and deploy machine learning models and decision systems that drive subscription growth via direct-to-consumer (D2C) and B2B/partner channels. You’ll collaborate closely with Product, Engineering, Growth, Content and Marketing teams to power personalized user journeys, scale experiments, and shape acquisition, retention strategy, revenue attribution modeling through insights and automation. If you thrive at the intersection of data, product, and impact — and want to shape how millions of users subscribe — this is the role for you

About the team: The Central Analytics & Applied science team is embedded within various business & product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks, advanced statistical modeling that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter.

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 plan recommendation, churn predictions, subscription propensity, winback strategies
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, Growth 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 preferably in subscription modeling, revenue modeling or related industries
Experience building and tuning supervised models (e.g., churn prediction, propensity scoring, offer targeting)
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 product intuition to translate business goals (e.g., reduce churn, boost conversion) into actionable data science solutions with measurable impact
Strong problem-solving skills with the ability to translate business problems into data science solutions
Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders

Preferred education and experience:

Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 7+ years of experience in applied 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.