The Trade Desk
Business Development GM (Holdco)
New York, New York, United States•19 days ago
$134K – $245K
business developmentsalesagency
Data Science8 days agoHybrid
Teads
Senior Data Scientist
data sciencemachine learningonline learningCTR predictionScalaTypeScriptA/B testingcloudtransformeradtechhigh throughputreal-time
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
3-5
Location
Paris, Île-de-France, 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, 4-5 years of applied ML research experience 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 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 to test 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 deploying ML algorithms in high-throughput online environments
- Strong software engineering fundamentals
- Ability to critically analyze scientific papers and implement core findings
- Excellent communication skills to explain complex technical concepts to peers and product managers
Tech stack
ScalaTypeScriptMachine LearningOnline LearningHigh-dimensional EmbeddingsA/B TestingCloud InfrastructureTransformer-based Models
Benefits
Career development with in-house and external training, internal mobilityWork-life balance with 22 days off per yearHybrid work schedule (3 days per week in the office)Premium work equipmentEnjoyable work environment with team building events and summitsRemote work subsidyDiversity & Inclusion initiatives
Apply now
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