Data Scientist - Media/Entertainment Analytics

As a Data Scientist at our company, you will be responsible for leveraging your expertise in predictive modeling, time-series forecasting, and scenario analysis to drive data-driven decisions in the media and finance domains. Your role will involve a combination of advanced technical proficiency and the ability to translate analytical insights into strategic business outcomes. Key Responsibilities: - Design and implement forecasting and predictive models using statistical and machine learning techniques such as ARIMA, Prophet, XGBoost, and LSTM. - Build and validate scenario and what-if simulation models, applying explainable AI methods like SHAP and feature importance. - Develop end-to-end ML pipelines in Python/R/SQL, ensuring scalability and reproducibility through cloud ML platforms such as AWS SageMaker, Azure ML, Databricks, or GCP Vertex AI. - Collaborate with cross-functional teams to integrate forecasts into finance, content, and release planning workflows. - Communicate insights effectively to business stakeholders, influencing strategic and operational decisions. Qualifications Required: - 5-8 years of experience in time-series forecasting and predictive analytics. - Education background in BE - Computers or a Masters or higher degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field. - Proven hands-on proficiency in Python/R/SQL and major ML frameworks like Scikit-learn, TensorFlow, and PyTorch. - Familiarity with cloud-based ML environments and MLOps practices. - Strong business acumen, ideally within media, finance, or entertainment analytics. Location: Anywhere in India (Hyderabad, Bengaluru, Chennai, Mumbai, NCR) Note: Immediate candidates or those serving notice period are highly preferred for this position.,