Data Scientist, Revenue, Revenue
Tasks
- Access datasets improve data quality integrate prototypes into production systems
- Create actionable policies for campaigns and surfaces
- Establish success metrics and instrument measurement
- Implement machine learning models in production
- Improve impression performance using behavioral signals
- Monitor optimisation experimentation and ads tech best practices
- Own ads optimization and modeling algorithms
- Partner with cross functional teams on data and model choices
- Prototype ads optimization and recommendation models
- Validate models using experiments and simulations
Perks/Benefits
- Collective Defined Contribution Pension plan
- Discounted gym membership
- Dog-friendly office
- Employee assistant program EAP
- Home office support
- Hybrid work
- Lunch benefit
- NS Business Card for public transport commute
- Paid annual leave
- Personal learning budget
- Personal monthly Vinted shopping budget
- Share options programme
- Workation
- Workplace IT equipment and home office furniture budget
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Data Quality | Experimentation | Machine Learning | Modeling | Production Machine Learning | Python | Ranking | Recommendation Systems | Retrieval | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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