Data Scientist: Product & Analytics

Tasks

• Build production data products
• Collaborate with data engineering teams
• Design and analyze experiments
• Develop data pipelines and data quality monitoring
• Improve analytics infrastructure and semantic data models
• Model data and improve analytics systems
• Translate insights for technical and non-technical audiences

Perks/Benefits

• Coaching
• Flexible vacation
• Fully remote
• Hack days
• Parental leave benefits
• Personal development budget
• Sabbatical leave

Skills/Tech-stack

Analytics engineering | DBT | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Data models | Experiment design | Hypothesis Testing | Python | SQL | Semantic data | Semantic data models | Statistics