About Teads

Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries.

For more information, visit 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 senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

What will you do?

As a Senior Data Scientist, your mission will be to:

• Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
• Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
• Implement your algorithms and models end to end.
• Collaborate with a variety of teams to develop services from design to production.
• Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
• Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
• Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads’ global publisher network.
  
  

What will you bring to the team?

• Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …).
• An appetite for Data Science applied to high-volumetry, low-latency topics.
• Ability to read scientific articles, to analyze critically, and to implement as appropriate.
• Good programming abilities.
• True scientist skills: fast learner, curious, sense of details, rigorous.
• Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience of complicated topics.
• Strong problem solving skills, and deducing from specific problems wider range products.
• You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.
  
  

Requirements

• 5+ years of hands-on experience with coding ML based solutions in high scale systems
• Relevant industry experience / publications in ad-tech and recommender system.
• Msc/Phd in computer science / math.
• Industry experience in building engineering at scale.
• Large-scale distributed systems, service oriented architecture.
• Previous experience with all or some of the elements of our Stack (we mainly use Go, Python, Java, AWS, Jupyter notebooks).
• Knowledge in data engineering.
• Ability to transform raw data into actionable business insights.
  
  

Please submit your CV in English.

We Care About You

• Hybrid working model (3 days per week in the office)
• Nearby parking available
• Expand your toolbox with our mentorship program and internal learning tools
• Pet friendly office
• Happy hours
• …and of course a fully stocked kitchen!
  
  

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.

Role

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.