Senior Data Scientist - Real-Time Programmatic Advertising

About the role

A leading AdTech company is looking for a Senior Data Scientist for its sell-side omnichannel platform, which uses AI and over 100 billion daily first-party data signals to deliver hundreds of millions of ads each day. You will work at the core of a high-volume, real-time programmatic system processing more than 2 billion requests per day, driving campaign optimization at scale through production ML systems rather than offline research.

Key responsibilities

• Analyze large and complex data to discover hidden patterns and opportunities.
• Develop and own end-to-end highly scalable data pipelines.
• Build state-of-the-art machine learning models and algorithms, and develop solutions in monetization fields.
• Provision data models for real-time (online) processing.
• Shape new data products and continuously improve existing ones.
• Collaborate with Product, BI, Analysts, DevOps, R&D and Marketing teams to deliver complete solutions.
• Own releases to production, covering requirements analysis, testing, monitoring, measurement and quick response to critical issues.

Required profile

• B.Sc., M.A. or M.Sc. in Computer Science, Engineering, Math, Statistics or an equivalent field.
• 6 years of experience as a Data Scientist with a strong background in ML concepts and models.
• Hands-on experience with Python and data science ML libraries (regression and classification algorithms such as XGB or LGBM, recommendation systems, etc.).
• Knowledge of the programmatic advertising landscape (DSPs, SSPs, exchanges).
• Advantage: experience with PMML.

Required skills

• SQL and understanding of databases.
• Monitoring and alerting tools such as Grafana and Kibana.
• Relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB).