Decision Scientist, Revenue, Ads
Tasks
- Analyze ads types and placements
- Build self-service data tools
- Continuously improve experimentation and optimization
- Create scalable reporting for stakeholders
- Define success metrics
- Drive domain objectives
- Improve impression performance using behavioral signals
- Instrument experimentation measurements
- Lead data-driven decision-making
- Optimize ad placements for performance and user experience
- Run A/B testing
- Translate business goals into data and model choices
- Turn insights into actionable policies
Perks/Benefits
- Annual learning budget
- Dog-friendly office
- Employee assistance program
- Gym
- Home office support
- Hybrid work
- In-house meals
- Monthly shopping budget on Vinted
- Private health insurance
- Share options programme
- Team building events
- Workation days
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Modeling | Experimentation | Inferential Statistics | Looker | Power BI | Python | Regression Analysis | SQL | Statistics | Tableau
Education
N/A
Roles
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