Data Scientist
Core
Develop and deploy machine learning models for prediction, classification, and anomaly detection within a high-load partner advertising system.
Role type
Machine Learning Engineer / Data Scientist
Builds
Production ML models, feature engineering pipelines, and data processing workflows for an advertising platform.
Domain
Advertising technology, high-load systems, data engineering
Deliverable
production ML models
Required skills
Python, pandas, SQL, ClickHouse, Kafka, scikit-learn, XGBoost, LightGBM, statistical analysis, experimental design
Preferred skills
Experience with Jupyter notebooks, large dataset preprocessing, model monitoring, A/B testing frameworks
Technologies
Python, pandas, SQL, ClickHouse, Kafka, scikit-learn, XGBoost, LightGBM
Responsibilities
Develop and train ML models for prediction and classification; Design feature engineering pipelines; Process and transform large datasets; Deploy and maintain ML models; Detect anomalies and unexpected metric movements; Implement monitoring for model performance and data drift
Seniority
Mid-level to Senior, hands-on IC
