Senior Data Scientist

data sciencemachine learningonline learningCTR predictionScalaTypeScriptadtechAItransformerhigh-dimensional embeddings

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Paris, France

Full job description

Teads is seeking a Senior Data Scientist to join their applied research team within the AI department. The role involves innovating in adtech research areas such as CTR prediction, online learning, and high-dimensional embeddings. The candidate will collaborate with cross-functional teams to translate research into production features, lead the full lifecycle of model development including A/B testing and monitoring, and experiment with new algorithmic approaches. Requirements include an advanced degree (MSc/PhD) or equivalent experience, 8+ years in applied ML research in high-throughput online environments, strong software engineering skills, critical thinking to analyze scientific papers, and excellent communication skills. The position is full-time, hybrid (3 days in office), located in Paris, France. Benefits include career development, work-life balance with 22 days off, premium equipment, team events, 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 translate research into production-ready features
Lead end-to-end lifecycle from research to A/B testing and monitoring model performance
Conduct deep work sessions to test new hypotheses and algorithmic approaches

Requirements

Advanced degree (MSc/PhD) in a quantitative field or equivalent industry experience
8+ years of experience in applied research deploying ML algorithms in high-throughput online environments
Strong software engineering fundamentals
Ability to critically analyze scientific papers and implement findings
Excellent communication skills to explain complex technical concepts clearly

Tech stack

ScalaTypeScriptMachine LearningAIOnline LearningCTR PredictionHigh-dimensional EmbeddingsTransformer-based Ranking Systems

Benefits

Career development with in-house and external training, internal mobilityWork-life balance with 22 days off per yearHybrid work model (3 days per week in office)Premium work equipmentEnjoyable work environment with team building events and summitsRemote work subsidyDiversity & Inclusion initiatives