Sr. Manager– Data Science

Responsibilities:

The incumbent will work closely with cross functional teams like subscriber Marketing, content, and product team to identify & solve key business problems. Key responsibilities for this position are listed below:

• Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualizations
• Good experience in handling text data and should have worked on use cases like Sentiment Analysis, Topic Modeling, Search enhancements, Speech to text etc.
• Team management: Manage a team of 2-3 resources.
• Improving the Quality, Performance and Effectiveness of the campaigns
• Working on various statistical and data science models to test and evaluate them.
• Evaluating models and predict performance of data science models using ROC curve and Lift Analysis
• Providing expertise to the organization on statistical techniques
• Building deep learning based complex systems utilizing structured and unstructured data
• Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system).

Integrate data science models into various campaigns