About the Role
We are seeking a Senior Data Scientist for a leading AdTech company whose sell-side omnichannel platform uses AI and 100+ billion daily first-party data signals to deliver hundreds of millions of ads every day. In this senior, hands-on role, you will work at the core of a high-volume, real-time programmatic system processing over 2 billion requests per day. Your work will directly drive campaign optimization at scale through production ML systems, not offline research.
Responsibilities
•Analyze large, complex datasets to uncover hidden patterns and opportunities
•Build and own end-to-end, highly scalable data pipelines
•Develop state-of-the-art ML models and algorithms for monetization
•Provision data models for real-time (online) processing
•Shape new data products and continuously improve existing ones
•Partner with Product, BI, Analytics, DevOps, R&D and Marketing to deliver end-to-end solutions
•Own full releases to production, from requirements analysis and testing through monitoring, measuring results, and responding quickly to critical issues
Requirements
•B.Sc. or M.Sc. in Computer Science, Engineering, Mathematics, Statistics or a related field
•6+ years as a Data Scientist with a strong grounding in ML concepts and models
•Hands-on Python experience with data science and ML libraries (e.g., XGBoost, LightGBM, regression and classification, recommendation systems)
•Solid SQL and database knowledge for data retrieval
•Experience with monitoring and alerting tools (e.g., Grafana, Kibana)
Nice to Have
•Knowledge of the programmatic advertising landscape (DSPs, SSPs, exchanges), which is a significant advantage
•Experience with relational (e.g., Vertica, VoltDB) and non-relational (e.g., MongoDB) databases
•Experience with PMML
Conditions
No conditions are specified in the posting.
