Data Scientist: Product & Analytics
Tasks
- Build production data products and analytical systems
- Collaborate with data engineering teams
- Design and analyze experiments
- Develop data modeling pipelines and data quality monitoring
- Improve analytics infrastructure and semantic data models
- Translate analysis into actionable insights
Perks/Benefits
- 30 vacation days
- Fully remote
- Hack days
- Internal coaching opportunities
- International team collaboration
- Parental leave benefits
- Personal development budget
- Sabbatical leave
Skills/Tech-stack
Analytics engineering | DBT | Data Modeling | Data Quality | Data Warehousing | ETL | Experimentation | Hypothesis Testing | Python | SQL | Statistics
Education
N/A
Roles
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