Data Scientist
Tasks
- Build customer churn prediction models
- Design and implement Large Language Model agents
- Engineer features and signals for machine learning models
- Generate insights from unstructured text data
- Identify at-risk clients
- Predict client interest from digital footprint
- Process structured and unstructured data
- Recommend actions to drive client value
- Synthesize complex information for business workflows
- Train machine learning models using diverse data
Perks/Benefits
Skills/Tech-stack
Behavior Modeling | Churn Prediction | Data Mining | Data Preprocessing | Feature Engineering | Generative AI | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | Recommendation Systems | Statistical Analysis | User Behavior | User behavior modeling
Education
Roles
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