Sr DS Engineer - Antiscraping Security

MercadoLibre
Buenos Aires, Medellín
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Problem solving","Continuous learning","Collaboration","Communication"]

Design and scale secure anti-scraping systems that detect scraper behavior and emerging patterns in large volumes of events, requests, and sessions. Build reliable datasets and develop supervised and unsupervised ML models for classification, clustering, anomaly detection, and time-series analysis. Create experiments and metrics for imbalanced, imperfect-label scenarios, then turn findings into deployable solutions while partnering with Security, Platform, and Infrastructure teams.

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MercadoLibre
MercadoLibre
6 days ago

Sr DS Engineer - Antiscraping Security

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and scale secure anti-scraping systems that detect scraper behavior and emerging patterns in large volumes of events, requests, and sessions. Build reliable datasets and develop supervised and unsupervised ML models for classification, clustering, anomaly detection, and time-series analysis. Create experiments and metrics for imbalanced, imperfect-label scenarios, then turn findings into deployable solutions while partnering with Security, Platform, and Infrastructure teams.
Location: Buenos Aires, Medellín
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and develop models, rules, and signals to detect scrapers and associated behavioral patterns.
  • •Analyze large volumes of events, requests, and sessions to discover new scraping patterns.
  • •Build reliable datasets and develop supervised and unsupervised models for classification, clustering, anomaly detection, and temporal analysis.
  • •Design experiments and evaluation metrics for imbalanced scenarios, accounting for false positives/negatives, coverage, stability, and impact.
  • •Convert findings into operable solutions and communicate results, assumptions, and risks with Security, Platform, and Infrastructure teams.

Key Requirements

  • •Experience in Data Science, Machine Learning, or equivalent roles handling large-volume data.
  • •Proficiency in Python with pandas, NumPy, scikit-learn (or equivalents) and knowledge of SQL.
  • •Experience in anomaly detection, classification, clustering, time series, or behavioral analysis.
  • •Knowledge of cloud platforms, data pipelines, and generative AI / AI agents tools.
  • •Ability to work with imbalanced data scenarios and imperfect labels.
Skills:Problem solvingContinuous learningCollaborationCommunication
Tech Stack:PythonPandasNumPyScikit-learnSQLCloud platformsData pipelinesGenerative AIAI agents

Company Brief

MercadoLibre
Operates Latin America's leading e‑commerce marketplace and fintech ecosystem, offering online buying and selling, classifieds, payment processing, credit, and logistics services across multiple countries in the region.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Buenos Aires, Argentina
Founded: 1999
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn