Join Teads: The Global Media Platform

Teads’ engineering team is a dynamic collective of over 200 talented professionals spread across three main locations: Montpellier, Paris, and Bucharest. We operate through agile and autonomous feature teams while sharing technical expertise within multiple communities of practice.

We foster innovation by promoting diversity and are dedicated to creating an inclusive environment for all employees. At Teads, we offer remote work flexibility, open to discussion further for optimal work-life balance.

Why Teads?

Join a passionate team committed to building responsible and high-quality advertising at scale!

Our Engineering Challenges

• High-Traffic Environment: Handle 1.9 billion users per month, processing 100 billion events per day, with low latency and high availability constraints (2 million requests per second, responses in under 150 milliseconds).
• Rich Tech Stack: Utilize a diverse set of technologies and systems, primarily Scala and TypeScript, optimized for performance, scalability, resiliency, and cost-efficiency.
• Large Datasets: Manage extensive datasets with millisecond access times to compute near real-time complex auction resolution algorithms (18 million predictions per second).
• User-Friendly Web Products: Develop intuitive web products used by thousands allocated to premier publishers, advertisers, and agencies globally.
• Adaptive Cloud Infrastructure: Continuously collaborate with Product teams to adapt our Cloud infrastructure to new features and products.
• Diverse Expertise: Elevate the work of varied profiles with a focus on shared quality and knowledge.

Data Scientist Assistant Role

As a Data Scientist Assistant at Teads, you will focus on our user graph, enabling probabilistic linking across multiple user devices and broadcast channels (CTV, Web). You will also work on advanced deep learning models to classify users or derive optimal vector representations of their digital activities.

What You Will Learn:

• Programming in Python (pandas, keras, tensorflow, seaborn, etc.)
• Mastering GCP big data tools like Bigquery and Looker
• Using production tools in the AWS stack
• Scala programming
• Adhering to best practices in data engineering and machine learning engineering

What You Will Bring:

• Knowledge of Python for data science
• Familiarity with big data-oriented SQL; experience with other aforementioned tools is a plus
• Curiosity, teamwork capabilities, critical thinking, and a willingness to learn

Perks of Working at Teads

Teads values teamwork, pragmatism, and listening, encouraging innovative approaches and end-to-end development ("You build it, you run it, you monitor it"). We support sharing knowledge and promoting a great work-life balance through various initiatives and policies.

Employee Benefits:

• Security & Savings: Competitive compensation, profit-sharing, meal vouchers (Swile), comprehensive health insurance (Alan), and relocation packages.
• Career Development: Continuous skill investment with in-house and external training, tech conference opportunities, and internal mobility.
• Life Balance: 35+ days off per year, hybrid work model (2-3 days remote per week), fully covered parental leave, and reserved daycare spots.
• Wellness: Premium work equipment, remote work subsidy, team building events, and diverse & inclusive initiatives (e.g., women speaking groups, school partnerships).

Learn more about our culture and benefits on our .

About Teads

Teads is a leading cloud-based, omnichannel platform enabling programmatic digital advertising globally. Our modular platform offers end-to-end solutions for buy-side, sell-side, creative, data, and AI optimization technologies. We pride ourselves on brand-safe, responsible advertising environments through exclusive media partnerships, reaching billions of users monthly.

Our diverse team of over 1,200 professionals operates from 50 offices across 30+ countries, embracing inclusivity across various skill sets, ages, genders,