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. Youll 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 JioHotstars content and marketing 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:
- Masters 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.
If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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. Youll collaborate closely...
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. Youll 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 JioHotstars content and marketing 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:
- Masters 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.
If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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