Data Scientist
Tasks
- Collaborate on data pipeline architecture and model deployment
- Communicate ideas and solutions
- Design, build, and deploy machine learning models
- Document models and maintain versioning
- Leverage large language models when appropriate
- Mentor analysts and junior data scientists
- Monitor deployed models for drift and degradation
- Refresh models proactively
- Translate business problems into analytical solutions
- Write production-grade Python and SQL
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Bayesian statistics | Churn modeling | DBT | Experiment tracking | Feature Stores | Frequentist Statistics | GitHub | GitLab | LTV modeling | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Monitoring | Model Registry | Prefect | Propensity Modeling | PyTorch | PyTorch or equivalent | Python | SQL | Scheduled Retraining | Scikit-learn | Weights and Biases | XGBoost
Education
Roles
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