Data Scientist - IA & Data Science Team

Teads
Paris
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4-5 yearsEducation: phdSkills: ["Critical thinking","Communication","Cross-functional collaboration"]

Build and deploy applied research models for ad delivery at massive scale, including CTR prediction, online learning, and high-dimensional embeddings. Work on end-to-end lifecycles from ArXiv research to A/B testing and live monitoring, bridging research and engineering to translate gaps into production-ready features. Join an AI team of ~50 supporting billions of users per month and billions of predictions per day.

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Teads
Teads
1 month ago

Data Scientist - IA & Data Science Team

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Last checked: 15 hours agoStatus: Live

Job Summary

Build and deploy applied research models for ad delivery at massive scale, including CTR prediction, online learning, and high-dimensional embeddings. Work on end-to-end lifecycles from ArXiv research to A/B testing and live monitoring, bridging research and engineering to translate gaps into production-ready features. Join an AI team of ~50 supporting billions of users per month and billions of predictions per day.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Innovate in AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.
  • •Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.
  • •Own the full model lifecycle from reading latest ArXiv papers through A/B testing and live performance monitoring.
  • •Dedicate time to deep-work experimentation, testing unconventional hypotheses and new algorithms.
  • •Contribute to large-scale prediction and control systems powering ad delivery outcomes.

Pay and Benefits

Perks:Paid LeaveRemote Work

Key Requirements

  • •MSc/PhD in a quantitative field, or equivalent industry experience.
  • •4–5 years of experience in applied research deploying ML algorithms in high-throughput online environments.
  • •Strong software engineering fundamentals; understand how models fit into the code stack.
  • •Ability to critically analyze scientific papers and implement core findings effectively.
  • •Excellent communication skills to explain complex systems (e.g., transformer-based ranking).
Experience:4-5 yearsAdTechApplied researchMachine learning
Education:PhD / Doctorate
Skills:Critical thinkingCommunicationCross-functional collaboration
Languages:English
Tech Stack:ScalaTypeScriptA/B testingOnline learningTransformer-based ranking systemArXivMachine learning

Company Brief

Teads
Teads is a global media and advertising platform delivering premium outstream video and display advertising across publishers and brands. It provides programmatic advertising solutions, creative formats, and analytics to optimize campaign performance at scale.
Industry: Advertising Media Groups
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Paris, France
Founded: 2008
WebsiteLinkedIn