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Job Summary:
The role requires building models using advanced statistical, AI and machine learning techniques for enabling - a unique personalized experience that helps end consumers to make quick decisions on content consumption. Forecasting / Predicting the content preferences based on the rich diverse content that varies from live sports to VOD content on the platform. Better performing recommendation engines that can optimize on not just simple outcome metrics like but complex state machines and funnel conversions like user LTV.
About the team:
The Central Analytics 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 that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter.
KEY RESPONSIBILITIES:
SKILLS & ATTRIBUTES FOR SUCCESS:
Preferred education and experience:
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.
Job ID: 149210615
Skills:
Machine Learning, Etl Tools, Hadoop, Sql, Hive, Spark, Python, Deep Learning Frameworks, R, Time Series Forecasting, Map Reduce, Gurobi
Skills:
Deep Learning, Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Apis, Sql, Computer Vision, Gcp, Azure, Kubernetes, Airflow, data pipelines, multi-agent AI systems, MLflow, R, model evaluation, Kubeflow, data ingestion, data preprocessing, Generative AI, LLMs, Scikit-learn, ML Ops, large-scale data processing, RAG, feature engineering
Skills:
statistical concepts , Spark SQL, Predictive Modeling, Machine Learning, Data Mining, Data Analytics, Python, Structured Query Language SQL, Pivot Tables
Skills:
snowflake , causal inference , BigQuery, Pandas, Spark, Python, Sql, Statistical Analysis, scikit-learn, cloud data environments, statsmodels
Skills:
Prometheus, Grafana, Tensorflow, Jenkins, Nlp, Pytorch, Docker, Python, Kubernetes, Azure DevOps, multimodal LLM frameworks, LangChain, vector search, speech models, RAG Retrieval Augmented Generation, Pinecone, CI CD, GitHub Actions, Cv, FAISS, Weaviate, LlamaIndex, LLaVA
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