Amazon ML Scientist / Applied EU Prime & Marketing Science 

Netherlands, North Holland, Amsterdam 

301314709

The Challenge:
While you'll initially focus on building YouTube as Amazon's next variable marketing channel, you'll have opportunities to work across a broad spectrum of science problems. You'll tackle fascinating scientific and technical challenges like:1. Modeling customer dynamics and behavior changes over time
2. Building recommender systems to nudge customers and increase engagement with products and offers
3. Measuring marketing effectiveness across external channels (YouTube, TikTok, Google)
4. Developing causal inference approaches to measure the impact of marketing actions
5. Creating ML models for real-time bidding and campaign optimization
6. Designing experimentation frameworks to understand marketing performance driversKey job responsibilitiesWhy You'll Love It:
- Work on diverse problems spanning ML, causal inference, and Bayesian statistics
- Tackle challenges across multiple scientific domain and use cases
- Develop novel approaches for ML & science, specially within marketing
- See your work drive business decisions
- Publish and present your research
- Build solutions that scale across global markets

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development