Data Scientist -Media/Entertainment Analytics

We’re looking for a Data Scientist with strong expertise in predictive modeling, time-series forecasting, and scenario analysis to power data-driven decisions in the media and finance domains . The ideal candidate will combine advanced technical proficiency with the ability to translate analytical insights into strategic business outcomes.

Work location: Any where in India ( Hyderabad, Bengaluru, Chennai, Mumbai, NCR

Experience : 5-8 years . Education : BE -computers /Master’s or higher degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.

Key Responsibilities

IMMEDIATE/ CANDIDATES SERVING NOTICE PERIOD HIGHLY PREFERRED

• Design and implement forecasting and predictive models using statistical and machine learning techniques (ARIMA, Prophet, XGBoost, LSTM).
• Build and validate scenario and “what-if” simulation models, applying explainable AI methods (e.g., SHAP, feature importance).
• Develop end-to-end ML pipelines in Python/R/SQL, ensuring scalability and reproducibility through cloud ML platforms (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.
  
  

Must-Have Skills

• Proven experience in time-series forecasting and predictive analytics.
• Hands-on proficiency in Python/R/SQL and major ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud-based ML environments and MLOps practices.
• Strong business acumen, ideally within media, finance, or entertainment analytics.