Data Science Engineer
Tasks
- Assess model limitations for stakeholders
- Build data pipelines
- Build safeguards against leakage bias drift
- Collaborate on monitoring and observability
- Deploy models to production
- Design, build, and deploy machine learning models
- Ensure validation and reproducibility
- Evaluate and adopt new machine learning tooling
- Evaluate model performance
- Frame business problems as data science problems
- Guide mentorship and design reviews
- Identify failure modes
- Monitor model drift
- Plan experiments and A B testing
- Productionize models with low latency
- Retrain models
Perks/Benefits
- 401k matching
- Company housing for 90 days
- Company technology package
- Dental insurance
- Flexible vacation
- Health insurance
- Health savings account
- Hybrid work
- Life insurance
- Paid Holidays
- Relocation assistance
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Data pipeline | Deep learning | Experimentation | Feature Engineering | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model retraining | Python | Reproducibility | SQL | Statistical modeling | Testing | Version control
Education
N/A
Regions
Countries
States
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