Senior Data Scientist (AdTech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Data Scientist (AdTech): Developing and optimizing large-scale predictive AI models for ad delivery with an accent on CTR prediction, online learning, and high-dimensional embeddings. Focus on bridging research and engineering by deploying ML algorithms into high-throughput production environments and conducting end-to-end model lifecycle management.
Location: Must be based in Paris, France (Hybrid: 3 days per week in the office)
Company
is a leading omnichannel advertising platform that leverages predictive AI technology to connect quality media, brand creative, and context-driven addressability for global advertisers.
What you will do
- Innovate at scale by researching and implementing advanced ML techniques for CTR prediction and online learning.
- Collaborate with cross-functional teams to translate research findings into production-ready features.
- Lead the end-to-end model lifecycle, from paper analysis to A/B testing and live performance monitoring.
- Dedicate time to deep-work sessions to test unconventional hypotheses and new algorithmic approaches.
- Ensure models integrate seamlessly into the existing software stack.
Requirements
- Advanced degree (MSc/PhD) in a quantitative field or equivalent industry experience.
- 8+ years of experience in applied research, specifically deploying ML algorithms into high-throughput online environments.
- Strong software engineering fundamentals with the ability to understand how models fit into the code stack.
- Ability to critique scientific methodology and implement core findings effectively.
- Excellent communication skills to explain complex systems to technical and non-technical stakeholders.
- Must be based in Paris or able to work in a hybrid model (3 days/week in office).
Culture & Benefits
- Continuous investment in career development through in-house and external training.
- Hybrid work policy with 3 days per week in the office.
- 22 days off per year.
- Focus on employee well-being with premium work equipment and remote work subsidies.
- Collaborative, diverse, and global work environment.
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