Senior Data Scientist
Netanya
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingImprove existing algorithms and tools for analyzing ad data and giving feedback
Develop new algorithms and approaches for accurate predictions and business insights
Implement algorithms and models end to end
Write, run and automate tests (unit, functional, load)
Improve ad relevance, quality and efficiency across the publisher network
From the employer’s posting
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.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads’ global publisher network.
What you’ll bring
All qualificationsCore experience
- 5+ years of hands-on experience with coding ML based solutions in high scale systems
- Knowledge in data engineering.
- Ability to transform raw data into actionable business insights
Qualification wording
5+ years of hands-on experience with coding ML based solutions in high scale systems
Knowledge in data engineering.
Ability to transform raw data into actionable business insights
Education & alternatives
- Relevant industry experience / publications in ad-tech and recommender system - Msc/Phd in computer science / math - Industry experience in building engineering at scale
Tools in this posting
- Java
- Python
- AWS
- Go
Source — Tool mentions in context
- 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.
About Teads Holding
We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 137 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 17, 2026 · 137 days ago
- Recorded sightings
- 96
- Last seen by us
- Nov 1, 2026
- Reposted
- once since May 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
About Teads
Teads is a leading omnichannel advertising platform building the future of digital advertising where quality content, trusted publishers, ambitious brands, and human creativity can thrive. Operating at true scale - processing 18 billion ad opportunities every single day - we connect global brands with a monthly reach of over 2.2 billion unique users.
At Teads, we believe your impact travels further. We are a borderless team of 1,700+ innovators across 30+ countries who favor outcome over tenure, value trusted autonomy, and use predictive AI to amplify human ingenuity rather than replace it. We move at pace, tackle genuinely complex problems, and foster a high-accountability culture that stays genuinely human. If you are looking for room to build and meaningful scope, you belong here. Learn more at www.teads.com.
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?
- 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.
- True scientist skills: fast learner, curious, sense of details, rigorous.
- Experience in Statistics (i.e. statistical analysis, regression analysis, …) and 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.
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.
Life at Teads
At Teads, we don’t just offer jobs. We blend creativity, technology, and cutting-edge data to shape the future of media.
As a Teadster, you’ll work alongside smart humans, collaborate with meaningful brands, and leverage advanced AI and automation to redefine how advertising works in a transparent, privacy-first world.
We are builders, innovators, and future-thinkers. If you are excited by the evolution of technology and ready to embrace the future of AI-driven media, you belong here.
Why Join Us?
- A New Era of Media: We’ve merged two open internet category leaders, Outbrain and Teads to create a unified omnichannel platform. Together, we drive results from branding to performance across CTV, mobile, and web.
- AI-Powered Innovation: We actively embrace AI and next-gen technology to solve complex industry challenges. We look for curious minds who aren't afraid to experiment, adapt, and lead the charge into the future of digital advertising.
- Growth & High Performance: Our culture is dynamic, global, and built on excellence. We are committed to your success, offering the modern tools, mentorship, and development opportunities you need to thrive.
- Belonging & Impact: We foster a welcoming, diverse environment where approachable, resourceful, and passionate people excel. Through our employee-led Employee Resource Groups (ERGs), you can actively drive change in areas like sustainability, women’s empowerment, charitable initiatives, and DE&I.
Equal Opportunity Employer
Teads is committed to diversity, equity, and inclusion at all stages of recruitment and employment. We celebrate unique perspectives and are dedicated to building a team that reflects the global communities we serve.
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