Sr Analyst, Data Science
Tasks
- Build reusable datasets and data marts
- Conduct causal inference analysis
- Define ML and product success metrics
- Design experiments for ambiguous problems
- Design feedback loops for model improvement
- Design semantic layers and data context systems
- Develop agent driven analytics workflows
- Enable self serve analytics across teams
- Evaluate model performance offline
- Evaluate model performance online
- Implement LLM based automated insight generation
- Monitor model performance in production
- Operationalize product KPIs and north star metrics
- Perform A B testing and hypothesis testing
- Translate product problems into analytical frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Adoption | Agentic AI | B testing | Bias Variance | BigQuery | Calibration | Causal Inference | Copilot | DBT | Data Context | Data Modeling | Data Science | Event data | Feature Store | Hypothesis Testing | LLM | Large Scale Event Data | Large-scale | Latency | Lift | Machine Learning | Metrics layer | Offline evaluation | Online evaluation | Precision-recall | Predictive Modeling | Product Analytics | Python | ROC | SQL | Semantic layer | Snowflake | Statistics
Education
N/A
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