Data Science Engineer - On line Payments

MercadoLibre
Brazil
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: []

Develop and deploy analytical, predictive, and generative AI models that protect the e-commerce and financial services ecosystem in Latin America against fraud. Partner with internal and external stakeholders to improve fraud prevention processes, communicate model deployments, and monitor production performance and detection anomalies. Apply generative AI techniques for low-prevalence, high-impact scenarios using structured and unstructured data, and present results in cross-team status meetings.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
MercadoLibre
MercadoLibre
2 days ago

Data Science Engineer - On line Payments

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 28 minutes agoStatus: Live
Reposted: similar role first listed 1 day ago

Job Summary

Develop and deploy analytical, predictive, and generative AI models that protect the e-commerce and financial services ecosystem in Latin America against fraud. Partner with internal and external stakeholders to improve fraud prevention processes, communicate model deployments, and monitor production performance and detection anomalies. Apply generative AI techniques for low-prevalence, high-impact scenarios using structured and unstructured data, and present results in cross-team status meetings.
Location: Brazil
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Collaborate with internal and external partners to discuss and track solutions that optimize fraud-combat processes.
  • •Communicate model deployments to other teams within the vertical.
  • •Monitor production model performance and detection anomalies, including participating in on-call/guard shifts when needed.
  • •Apply generative AI techniques to fraud prevention, proposing approaches for low-prevalence, high-impact scenarios.
  • •Explore structured and unstructured data to enhance detection models and present development/performance results in status meetings.

Key Requirements

  • •Consolidated knowledge in Data Science and Machine Learning.
  • •Experience analyzing fraud cases, forming hypotheses, and building ML-model-based solutions that translate results into business impact.
  • •Experience working with data of different volumes and types, including tabular and unstructured data.
  • •Knowledge and/or hands-on experience applying generative AI techniques to analytical or fraud-prevention use cases.
  • •Experience deploying models to production and monitoring their performance.
Experience:Fraud prevention

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