Data Scientist-Personalization

Tasks

• Build campaign models
• Conduct A B testing uplift modeling causal inference
• Conduct statistical analysis
• Deploy machine learning models
• Design develop deploy data pipelines
• Design experimentation frameworks
• Ensure data governance model risk management responsible AI compliance
• Implement NLP recommender systems and generative AI
• Monitor versioning automated retraining
• Optimize acquisition retention cross sell
• Perform data mining
• Translate insights for business stakeholders

Perks/Benefits

• N/A

Skills/Tech-stack

A/B | A/B Testing | API deployment | AWS | Artificial Intelligence | Azure | B testing | Causal Inference | Data Engineering | Data Governance | Data Mining | Data Pipelines | Data Processing | Data Visualization | Distributed data | Distributed data processing | ETL | Generative AI | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Recommender Systems | Statistical Analysis | Uplift Modeling