Job Application for Data Scientist Apprentice at Outbrain

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Our main Engineering challenges at Teads

Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
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.
Working in a very high-traffic environment (2.2 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).
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).
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
Work in an international environment with offices located in Israel, Slovenia and France.

As a Data Scientist Assistant (apprentice/intern), your mission can be to:

Work closely with our team of data scientists and engineers to understand the issues facing our SSP and the challenges associated with real-time optimization.
Discover and apply our feature engineering techniques to improve the quality and relevance of the data used by our algorithms.
Work with our engineers to integrate improvements and new models into our SSP platform.
Work 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

Programming skills, particularly in Python or Scala
Ability to work in a team and communicate effectively with technical and non-technical people.
Initiative, creativity, critical thinking and autonomy
Knowledge of big data-oriented SQL, or AWS/GCP, or Bigquery, or an interest in machine learning would be a plus

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).

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