Staff Data Scientist
Tasks
- Build data and model pipelines
- Define technical roadmaps and milestones
- Deploy and monitor models
- Design predictive maintenance solutions
- Ensure safety and compliance
- Establish AI governance and learning mechanisms
- Identify business pain points
- Implement multi agent AI and LLM solutions
- Implement rollback strategies
- Lead end-to-end AI projects
- Oversee data governance
- Perform feature engineering
- Submit ROI reports
- Track OKRs and KPIs
- Train and evaluate models
Perks/Benefits
- Clubs and communities
- Employee community volunteering
- Health and wellness activities
- On-site meals
- On-site snacks
- Travel up to 10 percent
Skills/Tech-stack
A/B | A/B Testing | Agent systems | B testing | Barcode recognition | CI/CD | Computer Vision | Containerization | Data Governance | Data Processing | Deep learning | Drift monitoring | Edge inference | Feature Engineering | Feature Store | Kubernetes | LLM | MLOps | Machine Learning | Model Evaluation | Model Registry | Model Serving | Model Training | Multi-Agent | Multi-Agent Systems | OCR | Observability | Process control | Python | Series analysis | Shadow Deployment | Statistical Process Control | Time Series | Time Series Analysis | Version control
Education
N/A
Roles
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