Lead Specialist, Data Scientist
Tasks
- Analyze large datasets for anomalies
- Build risk scoring methodologies
- Collaborate to deploy analytical solutions
- Conduct exploratory data analysis
- Create repeatable analytical methodologies
- Design predictive and anomaly detection models
- Develop dashboards and visualizations
- Develop fraud detection models
- Monitor and improve model performance
- Perform threat research and analysis
- Present findings to technical and non-technical stakeholders
- Support investigations of exam misconduct
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Apache Spark | Azure Data | Azure Data Services | Data Analysis | Data Services | Databricks | Exploratory Data Analysis | Graph analytics | Machine Learning | Python | SQL | Scikit-learn | Splunk | Statistical Analysis | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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