Teads · Paris
Data Scientist - IA & Data Science Team
About Teads Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus...
About Teads
Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across
screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging
predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement.
Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New
York, New York with a global team of around 1,700 people in 30+ countries.
For more information, visit www.teads.com. [https://www.teads.com]
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 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: 4–5 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
Life at Teads
At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with
smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more
transparency, better insights, and smarter strategies.
As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out:
- We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform
that drives results from branding to performance across all screens, including CTV, mobile, and web.
- As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative
problem-solving, and continuous learning.
- Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role.
Our company culture is welcoming, dynamic, diverse, global, and built on top performance.
Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and
employment.
Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging
through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women
empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded
people.
Role
Data Scientist - IA & Data Science Team
Category
Other
Location
Published
July 22
Deadline
August 22
Source