
Data Scientist
at This is for one of our Reputed Entertainment organisation
Key Responsibilities
· Advanced ML & Deep Learning: Design, develop, and deploy end-to-end Machine Learning models for Content Recommendation Engines, Churn Prediction, and Customer Lifetime Value (CLV).
· Generative AI Implementation: Prototype and integrate GenAI solutions (using LLMs like Gemini/GPT) for automated Metadata Tagging, Script Summarization, or AI-driven Chatbots for viewer engagement.
· Develop and maintain high-scale video processing pipelines using Python, OpenCV, and FFmpeg to automate scene detection, ad-break identification, and visual feature extraction for content enrichment
· Cloud Orchestration: Utilize GCP (Vertex AI, BigQuery, Dataflow) to build scalable data pipelines and manage the full ML lifecycle (MLOps).
· Business Intelligence & Storytelling: Create high-impact, automated dashboards in to track KPIs for data-driven decision making
· Cross-functional Collaboration: Work closely with Product, Design, Engineering, Content, and Marketing teams to translate "viewership data" into "strategic growth."
Preferred Qualifications
· Experience in Media/OTT: Prior experience working with large scale data from broadcast channels, videos, streaming platforms or digital ad-tech.
· Education: Master’s/Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or Data Science).
· Product Mindset: Ability to not just build a model, but to understand the business implications of the solution.
· Communication: Exceptional ability to explain "Neural Network outputs" to a "Creative Content Producer" in simple terms.

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