Data Scientist: Product & Analytics
Tasks
- Analyze outcomes and recommend next steps
- Build reliable data products
- Communicate findings to technical and non-technical stakeholders
- Design experiments
- Develop dbt models
- Improve data quality
- Maintain production analytical systems
- Monitor production pipelines
- Translate insights into business impact
Perks/Benefits
- 30 vacation days
- External coaching options
- Hack days
- Internal knowledge sharing
- Parental leave
- Personal development budget
- Remote work flexibility
- Sabbatical leave
- Training days
Skills/Tech-stack
AWS | Amazon Redshift | DBT | Data Modeling | Data Quality | Data Transformation | Data Warehousing | Experimentation | Git | Growthbook | Hypothesis Testing | Python | SQL | Semantic data | Semantic data modeling | Statistics
Education
N/A
Roles
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