Data Scientist - IA & Data Science Team

data scientistmachine learningadtechCTR predictiononline learningA/B testingScalaTypeScripttransformershigh-throughputreal-time prediction

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

3-5

Location

Paris, France

Full job description

Teads is seeking a senior Data Scientist with 4-5 years of applied research experience deploying ML algorithms in high-throughput online environments. The role involves innovating in adtech research areas such as CTR prediction and online learning, collaborating with engineering and product teams to deliver production-ready features, and leading the full model lifecycle including A/B testing and monitoring. Candidates should have an advanced degree in a quantitative field or equivalent experience, strong software engineering skills, critical thinking to evaluate scientific research, and excellent communication abilities. The position is full-time, hybrid (3 days in office), based in Paris, France. Benefits include career development, 22 days off per year, premium equipment, remote work subsidy, and diversity initiatives.

What you'll do

Innovate at scale 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
Lead end-to-end lifecycle from research to A/B testing and monitoring model performance in live environment
Conduct deep-work sessions testing unconventional hypotheses and new algorithmic approaches

Requirements

Advanced degree (MSc/PhD) in a quantitative field or equivalent industry experience
4–5 years of experience in applied research, specifically deploying ML algorithms into high-throughput online environments
Strong software engineering fundamentals
Ability to dismantle and critique scientific papers and implement findings
Excellent communication skills to explain complex systems clearly

Tech stack

ScalaTypeScriptmachine learningonline learningA/B testingtransformer-based ranking systems

Benefits

Continuous investment in employee skills through in-house and external training and internal mobility22 days off per yearHybrid work with 3 days per week in the officePremium work equipmentEnjoyable work environment including team building events and summitsRemote work subsidyDiversity & Inclusion initiatives