Data Scientist: Product & Analytics
Tasks
- Analyze experiment results
- Build production data products
- Collaborate with data engineering teams
- Design experiments
- Develop data modeling foundations
- Develop scalable analytics solutions
- Improve analytics infrastructure
- Improve data pipelines
- Monitor data quality
- Translate insights for technical and non-technical audiences
Perks/Benefits
- Coaching opportunities
- Fully remote
- Hack days
- Internal knowledge sharing
- Parental leave
- Personal development budget
- Sabbatical leave
- Vacation days
Skills/Tech-stack
Analytics Platforms | DBT | Data Modeling | Data Pipelines | Data Quality | Data Warehouses | Data quality monitoring | Experimentation | Hypothesis Testing | Python | Quality monitoring | SQL | Statistics
Education
N/A
Roles
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