Senior Data Scientist - Financial Services
Tasks
- Build recommendation and personalization models
- Collaborate with engineering and product teams
- Communicate solutions to product teams
- Conduct feature selection
- Define and prioritize machine learning requirements
- Deploy machine learning applications using MLOps
- Detect concept drift
- Detect data drift
- Develop predictive models
- Engineer features
- Improve data quality for ML systems
- Maintain technical documentation
- Monitor model performance
- Optimize dispatching
- Optimize dynamic pricing
- Perform exploratory data analysis
- Prevent fraud and revenue leakage
- Train machine learning models
- Validate and tune machine learning models
- Visualize model insights
Perks/Benefits
- N/A
Skills/Tech-stack
Causal analysis | Cloud platform | Code optimization | Code profiling | Data Analysis | Data Visualization | Exploratory Data Analysis | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Memory profiling | Model Training | Model Tuning | Model Validation | Python | SQL | Scalability | Software testing | Statistical Testing
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
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