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Data Scientist Assistant

Teads

Paris

Hybride

EUR 40 000 - 80 000

Plein temps

Il y a 19 jours

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Résumé du poste

Join a dynamic and innovative team at a leading omnichannel outcomes platform. As a Data Scientist Assistant, you'll work closely with data scientists and engineers to tackle real-time optimization challenges. Your role will involve feature engineering, improving data quality, and integrating advanced models into our SSP platform. Embrace the opportunity to work in a fast-paced environment that values creativity, initiative, and teamwork. With a strong focus on career development, work-life balance, and employee well-being, this position offers a unique chance to grow your skills while making a significant impact in the industry.

Prestations

Competitive compensation
Profit-sharing
Daily meal vouchers
Family health insurance
Personalized relocation package
35+ days off per year
Hybrid work options
Fully covered parental leave
Remote work subsidy
Wellness programs

Qualifications

  • Strong programming skills in Python or Scala.
  • Knowledge of SQL and big data technologies.

Responsabilités

  • Collaborate with data scientists to optimize real-time algorithms.
  • Integrate new models into the SSP platform.

Connaissances

Python
Scala
SQL
Machine Learning
Team Collaboration

Formation

Bachelor's Degree in Data Science or related field

Outils

AWS
GCP
BigQuery

Description du poste

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.

Our main Engineering challenges at Teads
  • Buildefficient and easy-to-use web productsused by thousands of users working for the world's most premium publishers, advertisers, and agencies.
  • Rich and diverse tech stack and system architectureto optimize forperformance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
  • Working in a veryhigh-trafficenvironment (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 oflarge datasetswith 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 continuouslycollaborate with Product teamsand constantly adapt our Cloud infrastructure fornew 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, 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).
Life at Teads

Our company culture is welcoming, dynamic, diverse, global, and built on top performance.

Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.

Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.

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