Staff Data Scientist
Tasks
- Collaborate to define scope and success metrics
- Deploy models and monitor performance
- Design and implement machine learning models
- Guide ML architectural decisions
- Identify data science business value opportunities
- Improve development workflow with AI tools
- Lead experimentation and causal inference
- Mentor data scientists
- Own machine learning lifecycle
- Set modeling standards for experimentation and validation
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Athena | B testing | Bedrock | CICD | Causal Inference | Deep learning | Distributed Training | Drift Detection | DynamoDB | Experimentation | Explainability | Fine Tuning | Glue | Human Feedback | LLM Fine-tuning | Learning from Human Feedback | MLOps | Machine Learning | Model Deployment | Model Evaluation | Monitoring | PyTorch | Python | Real Time | Real-time Inference | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retraining | SQL | SageMaker | Scikit-learn | Statistical modeling | TensorFlow | Testing | Time Series | Tree-based Models | Version control
Education
Roles
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