Data Scientist: Product & Analytics
Tasks
- Analyze experiment results
- Build production data products
- Build scalable analytics solutions
- Collaborate with data engineering teams
- Communicate insights to technical and non-technical audiences
- Conduct data modeling
- Define success metrics
- Design experiments
- Improve analytics infrastructure
- Improve data pipelines
- Maintain analytical systems
- Monitor data quality
- Partner with stakeholders on data insights
- Strengthen data platform for trusted access
Perks/Benefits
- 30 vacation days
- Fully remote
- Hack days
- International team collaboration opportunities
- Learning and coaching opportunities
- Parental leave benefits
- Personal development budget
- Sabbatical leave
Skills/Tech-stack
DBT | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Data analytics | Data quality monitoring | Experimentation | Hypothesis Testing | Python | Quality monitoring | SQL | Semantic data | Semantic data modeling | Statistics
Education
N/A
Roles
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