Data Scientist
Tasks
- Build and maintain scalable data pipelines
- Design and deploy machine learning models
- Document model assumptions and validation results
- Engineer features and perform model validation
- Implement MLOps practices for production reliability
- Integrate model outputs into decision workflows
- Manage end-to-end model lifecycle
- Monitor model performance
- Prototype emerging AI/ML techniques
- Run and evaluate experiments
- Translate model outputs into business recommendations
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Mentorship
- On-site work
- Paid Holidays
- Paid time off
- Professional development
- Vision insurance
Skills/Tech-stack
Amazon SageMaker | Data Governance | Data Quality | Data pipeline | Databricks | Experiment design | Feature Engineering | Feature Store | Forecasting | Generative AI | Language Models | Large Language Models | LightGBM | MLOps | MLflow | Machine Learning | Model Monitoring | PyTorch | Python | SQL | Scikit-learn | Snowflake | StatsModels | Supervised Learning | TensorFlow | Unsupervised Learning | Vertex AI | XGBoost
Education
Roles
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