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Role Overview:
- Develop machine-learning models for a programmatic advertising platform.
- Contribute across the full data science lifecycle, from research to production.
Key Responsibilities:
- Enhance existing models with new features and data sources.
- Deploy scalable algorithms with ML engineering teams.
- Run A/B tests and build monitoring dashboards.
Requirements:
- 3+ years in data science with Python, Spark, and SQL.
- Experience with large-scale sparse datasets and algorithms.
- Ad-Tech experience required.
Benefits:
- Fully remote work with flexible hours.
- $500 home-office setup and $1,000 learning budget.
- Option to relocate to Berlin.
Unknown
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.