Data Scientist (Machine Learning & Financial Analytics)
Tasks
- Collaborate with consultants to translate requirements
- Conduct exploratory data analysis
- Create reusable machine learning frameworks
- Develop machine learning models
- Document and share technical knowledge
- Execute feature engineering
- Implement MLOps best practices
- Monitor model performance
- Optimize predictive accuracy
- Perform data preprocessing
- Support model deployment
- Train and evaluate predictive models
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
BigQuery | Data Analysis | Data Preprocessing | Databases | Databricks | Exploratory Data Analysis | Feature Engineering | Jupyter | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Predictive Analytics | Python | Snowflake | Statistical modeling | Structured data | Tabular Data | Version control
Education
Roles
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