Data Scientist
San Francisco, CA | New York City, NY
USD 275K-370K Mid-level Full Time Found 2d ago
Tasks
- Analyze product and user data
- Apply causal inference methods
- Build measurement frameworks
- Build statistical models
- Conduct root cause analysis
- Create optimization frameworks
- Define metrics
- Derive insights
- Develop hypotheses
- Develop simulations
- Establish data practices
- Maintain reporting
- Present analyses to stakeholders
- Scale analytics infrastructure
Perks/Benefits
- Competitive benefits
- Equity donation matching
- Flexible working hours
- Generous vacation
- Office space
- Parental leave
Skills/Tech-stack
A/B | A/B Testing | AI/ML | AI/ML ecosystem | API Analysis | Automation | B testing | Causal Inference | Communication | Data Analysis | Data Infrastructure | Data Visualization | Data-Driven Decision Making | Data-driven | Decision Making | Developer tools | Distributed Systems | Error Budgets | Experimental Design | Inference latency | Language Models | Large Language Models | ML ecosystem | Machine Learning | Market Analysis | Model Deployment | Monitoring Tools | Observability | Performance Engineering | Product Analytics | Product Growth | Python | Reliability | Resource allocation | SLIs | SLOs | SQL | Scalability | Statistical modeling | Unstructured Data | Unstructured Data Analysis | User Engagement
Education
N/A
Roles
Regions
Countries
States
Language: en |
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