Product Data Scientist
Tasks
- Build dashboards and drive adoption
- Build flavor recommendation engine
- Design A B tests and quasi experimental experiments
- Measure incremental impact of new flavors
- Own analytics for digital experiences
- Own tracking and analytics for websites
- Partner on data quality tagging and instrumentation
- Recommend web analytics tools
- Translate data into insights and recommendations
Perks/Benefits
- 401k match
- Catered lunch
- Cell phone stipend
- Commuting Stipend
- Dental insurance
- Disability insurance
- Flexible PTO
- Happy hours
- Health & medical benefits
- Life insurance
- Onsite snacks
- Paid Holidays
- Paid sick leave
- Parental leave
- Team building events
- Vision insurance
- Wellness and fitness reimbursements
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Visualization | Difference-in-differences | Digital analytics | Experiment design | GA4 | Google Tag | Google Tag Manager | Hex | Looker | PowerBI | Product Analytics | Propensity Score Matching | Propensity score | Python | R | Recommendation Systems | SQL | Score Matching | Tag Manager | Web Analytics
Education
N/A
Roles
Regions
Countries
States
Cities
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