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Senior Data Scientist
teads1 • Paris
Posted: June 15, 2026
Job Description
Our main Engineering challenges at Teads
-
Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.
-
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
-
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
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Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
-
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
-
Bring a wide diversity of profiles to the same level of quality and knowledge
-
Work in an international environment with offices located in Israel, Slovenia and France.
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.
We care about you
- Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
- Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
- Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc.
#LI-Hybrid
Additional Content
Our main Engineering challenges at Teads
-
Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.
-
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
-
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
-
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
-
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
-
Bring a wide diversity of profiles to the same level of quality and knowledge
-
Work in an international environment with offices located in Israel, Slovenia and France.
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.
We care about you
- Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
- Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
- Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc.
#LI-Hybrid