Senior Data Scientist in Ad Tech

Paris

Teads

Reach nearly 2B people monthly across the best publishers. Full-funnel solutions across multi-format offerings including video, display, performance & social.

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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. 

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

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 daycare places.
  • 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 (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility).

What are our recruitment process steps?

Life at Teads 

Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.

Our company culture is welcoming, dynamic, diverse, global, and built on top performance.

Did you know "trust" is one of our core values? We apply this value to our day-to-day by working collaboratively on a global scale. With managers and teammates often sitting in other countries and time zones, we value communication, patience, and open-mindedness to all cultural backgrounds. We encourage all ideas, and everyone gets a seat at the table! We value team spirit, pragmatism, listening and we encourage initiatives. We share knowledge and support with each other beyond any organizational boundary. We are working together to create great products, but we are also supportive to promote a great work-life balance.

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.

About The Combined Company

Focusing 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/.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Architecture Data Mining Industrial Machine Learning Research Security Statistics Testing

Perks/benefits: Career development Competitive pay Conferences Equity / stock options Parental leave Relocation support Startup environment Team events Wellness

Region: Europe
Country: France

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