Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)
Tasks
- Collaborate with stakeholders to select machine learning approaches
- Define model performance metrics
- Deploy machine learning models to production environments
- Develop machine learning models for fraud detection
- Develop machine learning models for risk assessment
- Evaluate model effectiveness
- Extend and optimize machine learning libraries
- Optimize machine learning models
- Source preprocess and structure datasets
- Train test monitor and refine models
Perks/Benefits
- Agile culture
- Development opportunities
- Hackathons
- Health insurance
- International team
- Modern office environment
Skills/Tech-stack
Deep learning | Language Processing | Linear Algebra | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Probabilistic Modeling | PyTorch | Python | SQL | Scikit-learn | Statistics | Supervised Learning | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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