Data Scientist
Tasks
- Analyze structured and unstructured data
- Build machine learning models
- Clean and normalize data
- Create data visualizations and dashboards
- Design experiments and test hypotheses
- Develop ETL strategies
- Develop predictive analytics models
- Develop statistical and econometric analytics
- Develop visualization solutions
- Engineer data analytic solutions
- Evaluate data security and continuity of operations
- Extract data
- Perform natural language processing
- Provide actionable intelligence for fraud analysis
- Train evaluate test refine deploy maintain models
- Troubleshoot and support analytic solutions
- Write technical documentation and requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | Azure Data | Azure Data Factory | Dashboards | Data Factory | Data Governance | Data Lake | Data Lakehouse | Data Mining | Data Normalization | Data Quality | Data Visualization | Data Warehousing | Data cleaning | Databricks | ETL | Econometrics | Language Processing | Machine Learning | Mathematical Modeling | Microsoft Power | Microsoft Power BI | Natural Language | Natural Language Processing | ODBC | Power Apps | Power Automate | Power BI | Power Platform | Predictive Analytics | Process Automation | Python | R | Relational databases | Robotics Process | Robotics Process Automation | SQL | Statistical Analysis | Text Mining
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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