Senior Data Scientist

About the opportunity 

We are looking for a Senior Data Scientist to join a team of applied research.

The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers.
The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. 
Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes.

What will you do?

As a Data Scientist, your mission will be to:

• Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.
• Bridge Research & Engineering: Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.
• Own the Lifecycle: Lead the end-to-end process—from reading the latest ArXiv papers to A/B testing and monitoring model performance in a live environment.
• Experiment Freely: Dedicate time to "deep-work" sessions, testing unconventional hypotheses and new algorithmic approaches.

What will you bring to the team?

• The Foundation: An advanced degree (MSc/PhD) in a quantitative field or equivalent "in-the-trenches" industry experience.
• The Toolkit: +8 years of experience in applied research, specifically deploying ML algorithms into high-throughput online environments.
• The Hybrid Edge: Strong software engineering fundamentals; you don’t just design models, you understand how they fit into the code stack.
• Critical Thinking: The ability to dismantle a scientific paper, critique its methodology, and implement its core findings effectively.
• Communication: A knack for making the complex simple. You can explain a transformer-based ranking system to a peer or a product manager with equal clarity.

Please submit your CV in English.