Senior Data Scientist in Ad Tech

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 Data Scientist with deep experience in the advertising industry to join a team of passionate engineers who build advertising solutions at world scale. 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:

• Stay on top of the state-of-the-art science and technology of large scale advertising systems
• Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.
• Work with teams of data scientists and machine learning engineers to identify investment opportunities
• Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment
• Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
• Spend time experimenting with new approaches by yourself
• Follow industrial and academic research, occasionally publish at conferences

What will you bring to the team?

• Deep experience of the ad tech industry use of AI and data science
• Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly complicated topics to expert audiences
• Strong problem solving skills, and deducing from specific problems wider range products
• True scientist skills: fast learner, curious, sense of details, rigorous
• Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …)
• Ability to read scientific articles, to analyze critically, and to implement as appropriate
• You are very mindful about your application architecture, performance, testing and maintainability and its overall quality

The team

• 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

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