Data Scientist
Tasks
- Collaborate on data pipeline architecture
- Communicate insights to stakeholders
- Design, build, deploy machine learning models
- Develop features for model training
- Document models and version artifacts
- Mentor analysts and junior data scientists
- Monitor models for drift and degradation
- Translate business problems into analytical solutions
- Use large language models appropriately
- Write production-grade Python and SQL
Perks/Benefits
Skills/Tech-stack
Apache Airflow | DBT | Experiment tracking | Feature Engineering | GitHub | GitLab | Language Processing | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Prefect | PyTorch | Pytest | Python | SQL | Scikit-learn | Weights and Biases | XGBoost
Education
Roles
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