Corporate Audit - Full Stack Data Scientist, AVP
Tasks
- Build proof-of-concept tools and applications
- Collaborate with stakeholders to prioritize requirements
- Create data visualizations
- Create scalable solutions for large datasets
- Design front-end interfaces
- Develop assurance and automation solutions
- Develop data pipelines
- Develop machine learning and GenAI models
- Document governance procedures
- Identify advanced analytics opportunities
- Implement model governance framework
- Integrate data with database environments
- Investigate and apply new data analysis methods
Perks/Benefits
- Continuous training
- Employee networks
- Flexible schedule
- Global exposure
- Matching gift program
- Paid volunteer days
Skills/Tech-stack
AWS | Artificial Intelligence | Automation | Azure | Cloud Computing | Computer Vision | Data Engineering | Data Visualization | Data pipeline | Databricks | Document Intelligence | Generative Artificial Intelligence | HTML | Language Processing | Machine Learning | Model Governance | NLP | Natural Language | Natural Language Processing | Power BI | Python | React | SQL | Snowflake | Tableau | UI Development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Full Stack | Full Stack Data Scientist | Scientist
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