Senior Data Scientist
Tasks
- Analyze product requirements
- Apply software engineering best practices
- Collaborate with data scientists product owners and developers
- Create new AI solutions
- Develop data-driven features in agile sprints
- Improve existing AI solutions
- Improve models based on feedback
- Launch features to production
- Monitor model performance
- Perform code reviews
- Present results in sprint reviews
Perks/Benefits
- Medical insurance
- Office lunch allowance
- Paid vacation
- Parental leave
- School allowance
- Sick leave compensation
- Unlimited internet access
- Volunteer days
Skills/Tech-stack
Agile | Azure OpenAI | BigQuery | Black | Cloud platform | Dagster | Data Science | Flake8 | GCP | Google Cloud | Google Cloud Platform | Google Gemini | Jinja2 | Jupyter | Langchain | Language Models | Language Processing | Large Language Models | LightGBM | MLOps | MLflow | Machine Learning | Mypy | Natural Language | Natural Language Processing | Pandas | Prompt engineering | PyTorch | Python | Reproducible Research | SQL | Scikit-learn | Statistical Analysis | Vertex AI
Education
N/A
Roles
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