Data Scientist

Senior Data Scientist (AdTech)

About the Role

We are looking for an experienced Senior Data Scientist to join a long-term project in the AdTech domain. The ideal candidate has a strong background in machine learning, real-time systems, and large-scale production environments, with hands-on experience taking solutions from research and experimentation through implementation, deployment, and monitoring.

This role requires an engineer who has worked within high-traffic AdTech ecosystems and understands the challenges of building and maintaining ML-driven products operating at massive scale.

Requirements

Must Have

• 6+ years of commercial experience as a Data Scientist.
• Previous experience in the AdTech industry.
• Proven experience working with large-scale, high-load systems handling billions of requests.
• Strong experience in real-time environments and low-latency systems.
• End-to-end ownership of ML solutions, from research and experimentation to production deployment and monitoring.
• Strong knowledge of machine learning concepts, algorithms, and model evaluation techniques.
• Hands-on experience with:
  • Regression and classification models
  • Gradient boosting frameworks such as XGBoost and LightGBM
  • Recommendation systems
  • Feature engineering and model optimization
• Advanced Python skills and experience with Data Science and ML libraries.
• Strong SQL skills and experience working with large datasets.
• Experience with monitoring and alerting tools such as Grafana, Kibana, or similar.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Fluent English (C1 level or higher).
• Excellent communication and stakeholder management skills.

Nice to Have

• Experience with MLOps practices and tooling.
• Experience with streaming technologies and real-time data processing.
• Knowledge of cloud platforms and distributed systems.
• Experience with A/B testing and experimentation frameworks.
• Background in recommendation engines, bidding systems, CTR/CVR prediction, ranking, or personalization.

Responsibilities

• Design, develop, and deploy machine learning models for large-scale AdTech products.
• Build and optimize real-time ML systems operating under high traffic loads.
• Take ownership of the full ML lifecycle: research, prototyping, implementation, deployment, monitoring, and optimization.
• Work closely with Product, Engineering, and Data teams to deliver scalable data-driven solutions.
• Analyze large volumes of data to identify business opportunities and improve model performance.
• Develop monitoring and alerting strategies to ensure model reliability and performance in production.
• Drive best practices in machine learning engineering and production readiness.