Senior Data Scientist
Tasks
- Analyze structured semi structured and unstructured datasets
- Assess data quality
- Automate analytics workflows
- Build machine learning models
- Coordinate cloud architecture for machine learning workloads
- Create technical documentation for model development and validation
- Develop dashboards reports and visualizations
- Develop natural language processing solutions
- Develop predictive analytics for fraud detection
- Develop regression classification clustering and anomaly detection models
- Present findings to technical and executive audiences
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Azure Machine Learning | Bayesian Methods | Classification | Cloud Architecture | Cloud platform | Clustering | Data Quality | Data quality assessment | Ensemble learning | Fraud Detection | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | OCR | Pandas | PostgreSQL | Power BI | Predictive Analytics | Python | Quality Assessment | Regression | SQL | SQL Server | Supervised Learning | Unsupervised Learning
Education
Roles
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