Sr DS Engineer - Antiscraping Security

Design and develop models, rules, and signals to detect scrapers and associated behavior patterns. Investigate large volumes of events, requests, and sessions to discover new scraping patterns. Build reliable datasets and develop supervised and unsupervised models, including classification, clustering, anomaly detection, and temporal analysis.

Experience working in Data Science, Machine Learning, or equivalent roles with large datasets. Proficiency in Python and experience with libraries such as pandas, NumPy, and scikit-learn, as well as knowledge of SQL. Experience with anomaly detection, classification, clustering, time series, or behavior analysis.

Hybrid work modality. Site located in Buenos Aires, Argentina.