Data Scientist
Tasks
- Build machine learning models
- Clean normalize and validate data
- Coordinate requirements with stakeholders
- Create analytic products using relational databases and data lakes
- Design experiments and test hypotheses
- Design visualization solutions
- Develop statistical analytical solutions
- Engineer automated data pipelines
- Ensure quality and security guidelines are followed
- Evaluate document test data security and continuity of operations
- Extract and manipulate data
- Extract evaluate interpret and visualize data as actionable intelligence
- Identify information sources from structured and unstructured data
- Integrate disparate data sources
- Lead natural language processing and predictive analytics
- Perform data collection and analysis
- Produce technical documentation and user training materials
- Troubleshoot and support data analytic solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Artificial Intelligence | Azure Data | Azure Data Factory | Azure DevOps | Connection strings | Continuous Delivery | Continuous Integration/Continuous Delivery | Continuous integration | DAX | Data Factory | Data Governance | Data Integrity | Data Lake | Data Lakehouse | Data Mining | Data Pipelines | Data Quality | Data Visualization | Data Warehousing | Databricks | ETL | Experiment design | GitHub | Hypothesis Testing | JDBC | JavaScript | Jupyter | Language Processing | Machine Learning | Mathematical Modeling | Natural Language | Natural Language Processing | ODBC | ODBC Connection Strings | Power Apps | Power Automate | Power BI | Power Platform | Predictive Analytics | Process Automation | Python | R | REST APIs | Relational databases | Robotics Process | Robotics Process Automation | SQL | Statistical Analysis | Text Mining
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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