Data Scientist Assistant

Teads, The Global Media Platform, has an **engineering team that brings together 200+** talented individuals in 3 main locations (Montpellier, Paris, and Bucharest). We are organized in agile and autonomous **feature teams and share** technical knowledge within several communities of practice. To innovate, we promote diversity and are committed to creating an inclusive environment for all employees. - Our organization gives the possibility **to work remotely** part of the time and more flexibility is open to discussion. Join a team of passionate people who build quality and responsible advertising, at scale**Our main Engineering challenges at Teads**: - Working in a very **high-traffic** environment (1.9 billion users per month, 100 billion events per day) with **low latency** and **high availability** constraints (2 million requests per second, responses in less than 150 milliseconds). - **Rich and diverse tech stack and system architecture** to optimize for **performance, scalability, resiliency**, and cost efficiency. We use mostly Scala and TypeScript, among others. - Management of **large datasets** with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). - Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. - A fast-changing environment where we continuously **collaborate with Product teams** and constantly adapt our Cloud infrastructure for **new features and Products**. - Bring a wide diversity of profiles to the same level of quality and knowledge. **What will you do?**: As a **Data Scientist Assistant**, your will be actively working on our user graph, which enables us to probabilistically link the various devices of our users and our broadcast channels (CTV, Web), as well as on deep learning models enabling us to classify them or obtain the best vector representation of their digital usage. During this apprenticeship, you will learn: - Program in Python (pandas, keras, tensorflow, seaborn, etc.) - Master GCP big data tools such as Bigquery and Looker - Use the production tools in the AWS stack - Use Scala - Respect good practice in data engineering and machine learning engineering. **What will you bring to the team?**: - Knowledge of Python for data science purposes - Knowledge of big data-oriented SQL and any other experience related to the tools mentioned above would be a plus - Curious, team player, critical thinker and willing to learn **Why work at Teads?**: At Teads, Product and Engineering work hand in hand and are aligned towards the same goal: to **scale our business** while continuing to create **new and exciting products**. - We value **team spirit, pragmatism, listening** and we encourage **initiatives**. - We promote **end-to-end development**: "You build it, you run it, you monitor it". - We **share knowledge** and support with each other beyond any organizational boundary. - We fix issues during a **blameless** postmortem and learn from it so that it doesn't happen twice. - We are working together to create **great engineering**, but we are also supportive to promote a great **work-life balance**. **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). Discover more about our culture and benefits on our Engineering website. **About Teads**: Teads operates a leading, cloud-based, omnichannel platform that enables programmatic digital advertising across a global ecosystem of quality digital media. As an end-to-end solution, Teads' modular platform allows partners to leverage buy-side, sell-side, creative, data and AI optimization technologies. For advertisers and their agencies, Teads offers a single access point to buy the inventory of many of the world's best publishers and content providers. Through exclusive global media partner