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Job Description & How to Apply Below
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
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