Data Scientist I - Client Protection - Modeling
Tasks
- Analyze large datasets
- Apply agile practices
- Build machine learning models
- Coach peers
- Collaborate with stakeholders
- Communicate technical results
- Conduct business analytics
- Create technical documentation
- Develop and tune models
- Develop graph algorithms
- Develop risk management strategies
- Document datasets and models
- Engage with cross-functional teams
- Extract and prepare data
- Identify business trends
- Identify fraud networks
- Manage multiple projects
- Mitigate risks
- Perform data analysis and trend identification
- Research advances in AI and data science
- Support large-scale deployments
Perks/Benefits
Skills/Tech-stack
AI | Agile | Automated development | Collaboration | Data Analysis | Data Management | Data Visualization | Generative AI | Graph Databases | H2O | Hadoop | Java | Kafka | Machine Learning | Neural Networks | Presentation Skills | Python | Risk Management | SAS | SQL | Spark | Version control
Education
Roles
Regions
Countries
States
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