Job VC
Senior Data Scientist (Ad-Tech / RTB)
Technologies
Description
We are looking for a Senior Data Scientist to join an international Ad-Tech company working with high-load RTB systems processing over 2 billion requests daily.
This role is ideal for someone with strong production experience in Ad-Tech environments, deep understanding of real-time bidding ecosystems, and hands-on work with large-scale machine learning systems.
Requirements:
5+ years of commercial experience in Data Science / Machine Learning
Strong hands-on experience in Ad-Tech - MUST HAVE
Solid understanding of RTB ecosystems, bidding algorithms, auctions, DSP/SSP flows
Experience working with high-load distributed systems and large-scale datasets
Production experience with ML models in real-time environments
Strong Python skills
Experience with SQL and large data processing frameworks
Experience with experimentation, A/B testing, performance optimization
Understanding of recommendation systems, prediction models, user behavior analytics, or bidding optimization
Experience with cloud platforms and data pipelines is a plus
Upper-Intermediate+ English
Responsibilities:
Develop and improve ML/Data Science solutions for RTB and Ad-Tech products
Work with large-scale real-time data streams and optimize bidding performance
Build, test, and deploy production-ready ML models
Analyze user behavior, traffic quality, campaign performance, and auction dynamics
Collaborate with engineering and product teams on scalable ML infrastructure
Improve prediction accuracy, targeting, and monetization efficiency
Participate in architecture and optimization discussions for high-load systems
Nice to have:
Experience with recommendation systems or ranking models
Knowledge of ClickHouse, Kafka, Spark, Hadoop, or similar technologies
Experience with deep learning / reinforcement learning in Ad-Tech
Experience with fraud detection or traffic quality analysis
If you have strong Ad-Tech expertise and experience with RTB systems at scale - we’d be happy to connect 🚀
This role is ideal for someone with strong production experience in Ad-Tech environments, deep understanding of real-time bidding ecosystems, and hands-on work with large-scale machine learning systems.
Requirements:
5+ years of commercial experience in Data Science / Machine Learning
Strong hands-on experience in Ad-Tech - MUST HAVE
Solid understanding of RTB ecosystems, bidding algorithms, auctions, DSP/SSP flows
Experience working with high-load distributed systems and large-scale datasets
Production experience with ML models in real-time environments
Strong Python skills
Experience with SQL and large data processing frameworks
Experience with experimentation, A/B testing, performance optimization
Understanding of recommendation systems, prediction models, user behavior analytics, or bidding optimization
Experience with cloud platforms and data pipelines is a plus
Upper-Intermediate+ English
Responsibilities:
Develop and improve ML/Data Science solutions for RTB and Ad-Tech products
Work with large-scale real-time data streams and optimize bidding performance
Build, test, and deploy production-ready ML models
Analyze user behavior, traffic quality, campaign performance, and auction dynamics
Collaborate with engineering and product teams on scalable ML infrastructure
Improve prediction accuracy, targeting, and monetization efficiency
Participate in architecture and optimization discussions for high-load systems
Nice to have:
Experience with recommendation systems or ranking models
Knowledge of ClickHouse, Kafka, Spark, Hadoop, or similar technologies
Experience with deep learning / reinforcement learning in Ad-Tech
Experience with fraud detection or traffic quality analysis
If you have strong Ad-Tech expertise and experience with RTB systems at scale - we’d be happy to connect 🚀