AI - Data Scientist
Tasks
- Automate finance workflows
- Build predictive analytics models
- Deploy machine learning models
- Detect anomalies
- Develop machine learning models
- Document models and data pipelines
- Forecast cash flow
- Integrate financial data sources
- Monitor model performance
- Optimize data pipelines
- Refine model accuracy efficiency scalability
- Report model impact to leadership
- Stay current with AI/ML trends
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Artificial Intelligence | Azure | Cloud Platforms | Data Lakes | Data Preprocessing | Data integration | ERP systems | Feature Engineering | Finance automation | GCP | Machine Learning | Model Tuning | NoSQL | Predictive Analytics | PyTorch | Python | R | RPA | SQL | SQL Databases | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
Regions
Countries
States
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