Data Scientist - II

As a Data Scientist II, you will be at the heart of our digital transformation. You will leverage large-scale audience data to build predictive models and Generative AI applications that enhance content discovery, personalize viewer experiences, and optimize ad revenue. You will bridge the gap between complex machine learning and actionable business strategy, using Google Cloud Platform (GCP) and Generative AI to stay at the forefront of the evolving media landscape.

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.

Python, Machine Learning, Deep Learning, Generative AI, LLM, Gemini, GPT, GCP, Vertex AI, BigQuery, Dataflow, MLOps, OpenCV, FFmpeg, Recommendation Systems, Churn Prediction, CLV, Computer Vision, Video Analytics, Data Pipelines, Business Intelligence, Dashboarding, OTT, Streaming Analytics, AdTech, Data Science.