Data Scientist
Tasks
- Build machine learning models for production
- Communicate insights and tradeoffs to stakeholders
- Create reusable evaluation assets and templates
- Design agentic workflows with observability and fallbacks
- Ensure responsible privacy aware AI with human in the loop
- Evaluate and monitor machine learning and LLM quality
- Implement prompt patterns and tool calling with guardrails
- Lead experimentation using A B testing
- Manage model lifecycle including training deployment monitoring
- Partner with product and engineering to define success metrics
Perks/Benefits
- Career development
- Coworking subscription
- Dental insurance
- Flexible holiday schedule
- Health insurance
- Home office stipend
- Life insurance
- Open vacation policy
- Paid parental leave
- Remote work
- Training opportunities
Skills/Tech-stack
A/B | A/B Testing | Artificial Intelligence | B testing | Bias Mitigation | CI/CD | Causal Inference | Classification | Data Privacy | ETL | Experiment tracking | Fairness | Golden Dataset | Information Extraction | Information Retrieval | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Recommendation Systems | Regression testing | Retrieval-Augmented Generation | SQL | Search Systems | Spark | Statistics | Structured outputs | Tool-Calling | Version control
Education
N/A
Roles
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