Assistant data scientist
Tasks
- Collect, clean, and prepare data
- Design and develop fraud detection proofs of concept
- Document work and present results to business teams
- Evaluate model performance
- Experiment with generative AI use cases
- Propose model improvement ideas
- Test supervised machine learning models
- Test unsupervised machine learning models
Perks/Benefits
- E-learning training catalog
- Flexible working hours
- Meal vouchers CSE
- Mobile mobility allowance
- Telework
- Transport reimbursement
Skills/Tech-stack
APIs | Data Analysis | Data Preparation | Data cleaning | Generative AI | Git | Jupyter Notebooks | Machine Learning | Python | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
Roles
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