Data Scientist Apprentice

4 Days ago • All levels • Data Analysis

Job Summary

Job Description

As a Data Scientist Assistant (apprentice/intern), you will work closely with data scientists and engineers to understand the issues facing our SSP and the challenges associated with real-time optimization. Your mission involves discovering and applying feature engineering techniques to improve data quality, integrating improvements and new models into the SSP platform, and working on user graphs and deep learning models for user classification and digital usage representation.
Must have:
  • 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
Good to have:
  • Knowledge of big data-oriented SQL, or AWS/GCP, or Bigquery, or an interest in machine learning would be a plus
Perks:
  • Competitive compensation
  • Profit-sharing
  • Daily meal vouchers (Swile)
  • Family health insurance (Alan)
  • Personalized relocation package (if needed)
  • In-house and external training
  • Tech conference opportunities
  • Internal mobility (individual contributor or management career ladder)
  • 35+ days off per year
  • Hybrid work (2-3 days remote work per week, more is open to discussion)
  • Fully covered parental leave
  • Reserved daycare places
  • 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
  • Sustainability actions (Eco Tree, subsidy for eco-mobility)

Job Details

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.

What will you do?

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

What will you bring to the team?

  • 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

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).

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About The Company

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. With a focus 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.

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