Senior/Staff Data Scientist, Product Analytics
Tasks
- Analyze onboarding changes and feature impact
- Build metric definitions dashboards and data models
- Communicate insights and recommendations
- Define and govern success metrics
- Design and evaluate product experiments
- Partner on instrumentation event tracking and data extraction
- Partner with product teams on discovery and launch planning
- Perform data processing and modeling for reliable analytics
- Pressure test hypotheses before implementation
- Scale product analytics best practices and frameworks
- Validate outcomes after launch
Perks/Benefits
- 401k matching
- Employee assistance program
- Employee stock ownership program
- Life insurance
- Medical/Dental/Vision insurance
- On-site work at least three days per week
- Reimbursements and wellness activities
Skills/Tech-stack
A/B | A/B Testing | Amazon Redshift | B testing | Dashboards | Data Modeling | Data Pipelines | Data Quality | Event Tracking | Experiment design | Instrumentation | MPP databases | Metric Definitions | Pandas | Python | SQL | Snowflake | Statistics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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