Senior Data Scientist AdTech RTB A distance Temps plein

Notre client :

An established, high-scale advertising technology platform operating in programmatic advertising. Its real-time decision systems directly influence campaign performance, traffic quality and monetization.

Vos tâches :

• Design, develop, optimize and maintain machine learning models for large-scale advertising platforms
• Build predictive models for CTR, CVR, user behavior, traffic quality and advertising performance
• Develop algorithms for bidding, pricing, ad ranking, traffic selection and campaign optimization
• Work with high-throughput, latency-sensitive, real-time advertising decision systems
• Improve targeting, segmentation and recommendation algorithms
• Design A/B tests, offline evaluations and statistical experiments to measure model and business impact
• Own ML solutions end to end, from problem definition and feature engineering through deployment, monitoring and iteration
• Collaborate with Data Science, ML Engineering, Backend Engineering and Product teams
• Improve monetization, advertising efficiency, prediction accuracy and platform performance

Expérience et compétences requises :

• 5+ years of hands-on professional experience in Data Science, Applied ML or algorithm development
• Significant practical experience in AdTech, programmatic advertising or real-time advertising platforms
• Direct exposure to DSP, SSP, RTB or comparable programmatic advertising environments
• Hands-on ML experience in advertising, such as CTR/CVR prediction, bidding optimization, ranking, traffic selection or campaign optimization
• Strong command of Python
• Strong command of SQL
• Hands-on experience working with large-scale datasets
• Solid foundations in machine learning and statistical modeling
• Deep understanding of feature engineering and model evaluation
• Proven ability to design and run experiments to measure model and business impact
• Proven experience deploying, maintaining and improving ML models in production
• Practical understanding of high-throughput systems, latency constraints and real-time decision-making
• Proven ability to take independent technical ownership of ML solutions and deliver measurable business impact
• Proven ability to collaborate with cross-functional engineering teams
• Strong communication skills for working in an international team
• English – Upper-Intermediate

Ce serait un plus :

• Experience in AdTech
• Experience with DSP bidding systems, SSP optimization, RTB auctions, OpenRTB, auction dynamics or real-time decisioning
• Hands-on experience with bid pricing, bid shading or budget pacing
• Hands-on experience with traffic quality, inventory selection, yield optimization or monetization
• Experience with deep learning, DNNs or embeddings
• Experience with recommendation systems or ranking models
• Hands-on experience with PyTorch, TensorFlow or scikit-learn
• Hands-on experience with Spark, Kafka, Redis, Snowflake or comparable infrastructure
• Experience with model serving and latency optimization
• Experience with model performance monitoring in production
• Solid understanding of advertising KPIs, including CTR, CVR, eCPM, ROI, ROAS, fill rate and revenue yield
• Experience with online learning or contextual bandits
• Experience with causal inference or advanced experimentation

Conditions de travail

Semaine de travail de 5 jours, journée de travail de 8 heures ;

Travail à distance.