Onsite Data Scientist – Fraud Prevention

Posted 6 hours ago

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About the role

  • Data Scientist focusing on AI to enhance fraud prevention efforts at albo, a fintech company in Mexico. Lead the implementation of machine learning models and collaborate with teams on product integration.

Responsibilities

  • Design, build, and deploy machine learning models for real-time fraud detection and risk scoring.
  • Automate the monitoring of fraud and risk metrics using AI-driven alert systems.
  • Develop automated agents and systems to investigate and respond to suspicious activity, minimizing manual intervention.
  • Lead the research and implementation of cutting-edge AI and machine learning techniques for fraud prevention.
  • Conduct deep analysis of complex fraud patterns using advanced statistical and machine learning techniques.
  • Collaborate with engineering and product teams to integrate fraud prevention logic directly into our products.
  • Continuously optimize our models and detection strategies based on performance data.
  • Own the development and reporting of KPIs that measure the effectiveness of our AI-based fraud systems.

Requirements

  • Proven experience building and deploying machine learning models in a cloud environment (GCP preferred).
  • Strong command of Python and SQL (BigQuery), not just for querying but for creating data pipelines and models.
  • Hands-on experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Familiarity with data workflow and orchestration tools (e.g., Airflow) is a major plus.
  • A deep understanding of anomaly detection, fraud, and risk modeling techniques.
  • A proactive and creative mindset with a passion for using technology to solve complex challenges.
  • Excellent communication skills and the ability to translate technical findings into business strategy.
  • Eagerness to take ownership of projects and lead the transition to an "AI-first" culture.

Job title

Data Scientist – Fraud Prevention

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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