Lead Data Scientist
Tasks
- Analyze experiments
- Automate data lifecycle with AI
- Build data pipelines
- Build internal data products
- Create data documentation infrastructure
- Define metrics architecture
- Deliver insights to stakeholders
- Design A/B tests
- Develop semantic layer
- Generate dbt models
- Implement data quality monitoring
- Maintain dashboards and reporting
- Scale analytics systems through automation
- Set data strategy
- Ship AI powered tooling into production
Perks/Benefits
- Collaborative work environment
- Dental insurance
- Education Impact
- Health insurance
- Hybrid work model
- Professional development opportunities
- Stock options
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | API Integration | B testing | DBT | Data Modeling | Data Quality | Data Warehousing | Data quality monitoring | Experimentation Design | LLM | Python | Quality monitoring | RAG | SQL | Semantic layer | Snowflake
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
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