Lead Data Scientist, Revenue - Ads, Revenue
Tasks
- Collaborate with engineering on deployment
- Define evaluation frameworks for optimization
- Design and iterate ranking and targeting algorithms
- Design optimization objectives and constraints
- Develop Ads prediction and scoring models
- Explain model behavior to non-technical stakeholders
- Identify model and delivery performance issues
- Implement models and optimization logic in production
- Lead experimentation for performance improvement
- Own Ads optimization logic
- Partner with analytics and data engineering on datasets
- Perform Ads performance diagnostics
Perks/Benefits
- Commute transit benefits
- Digital mental health support
- Discounted gym membership
- Dog-friendly office
- Employee assistance program
- Home office support
- Lunch benefit
- MacBook provided
- Paid annual leave
- Pension plan
- Personal shopping budget
- Share options
- Team building events
- Workation
- Workplace equipment budget
Skills/Tech-stack
Auction theory | Bidding Models | BigQuery | Budget Optimization | Calibration | Constrained optimization | Experimentation | Exploration/exploitation | Machine Learning | Pacing | Python | Ranking algorithms | Relevance modeling | SQL | Statistical modeling | Targeting
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
Cities
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