Data Scientist (Personalization)
Tasks
- Analyze data to optimize machine learning systems
- Build personalization and recommendation models
- Collaborate with engineering and product teams
- Conduct exploratory data analysis
- Deploy and test machine learning applications
- Document delivered solutions
- Monitor model performance and data drift
- Perform feature engineering and feature selection
- Support data quality for machine learning and analytics
- Train statistical and machine learning models
- Validate and tune machine learning models
- Visualize model insights and metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Cloud platform | Data Analysis | Data Drift | Data Drift Detection | Data Visualization | Drift Detection | Exploratory Data Analysis | Feature Engineering | Feature Selection | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Model Monitoring | Model Tuning | Python | SQL | Statistical Analysis | Statistical Testing
Education
Roles
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