Data Scientist: Product & Analytics
Tasks
- Analyze experimentation results
- Build production data products
- Collaborate with data engineering teams
- Create scalable analytics systems
- Define success metrics
- Design experiments
- Develop data modeling solutions
- Improve data quality monitoring
- Improve semantic data models
- Maintain experimentation frameworks
- Provide actionable recommendations
- Translate insights for technical and nontechnical audiences
Perks/Benefits
- Coaching opportunities
- Fully remote
- Hack days
- Knowledge sharing
- Parental leave
- Personal development budget
- Sabbatical leave
- Vacation days
Skills/Tech-stack
DBT | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Data quality monitoring | Experiment design | Hypothesis Testing | Python | Quality monitoring | SQL | Statistics
Education
N/A
Roles
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