Senior Data Scientist

We are Teads 

Outbrain Inc. (Nasdaq: OB) and Teads S.A. combined on February 3, 2025 and are operating under the new Teads brand. 

The new 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, 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, the new 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 36 countries.

For more information, visit https://thenewteads.com/. 

Please submit your CV in English.

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 latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.

What will you bring to the team?

Your skills and experiences:

• Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience complicated topics.
• Strong problem solving skills, and deducing from specific problems wider range products.
• True scientist skills: fast learner, curious, sense of details, rigourous.
• 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.
• You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.

Bonus points:

• Relevant industry experience 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 Scala, Spark, Python, Kafka, AWS, Jupyter notebooks).
• Knowledge in data engineering.

We care about you:

• Security & Savings: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).
• Career Development: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycar