Data Scientist: Product & Analytics
Tasks
- Analyze experiments
- Build production data products
- Collaborate with data engineering teams
- Define success metrics
- Develop analytics data models
- Evaluate experimentation outcomes
- Improve data quality monitoring
- Partner with product and growth teams
- Provide actionable recommendations
- Translate insights for technical and non-technical audiences
Perks/Benefits
- 30 vacation days
- Coaching
- Fully remote
- Hack days
- Knowledge sharing
- Parental leave
- Personal development budget
- Sabbatical leave
Skills/Tech-stack
Analytics engineering | DBT | Data Modeling | Data Quality | Data Warehousing | Data quality monitoring | ETL | Experiment design | Hypothesis Testing | Python | Quality monitoring | SQL | Statistics
Education
N/A
Roles
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