Jobs · empllo
Fraud Data Science
Cobalt Streamworks · Guatemala · Posted 10d ago
About the role
Analyze data and develop models for fraud detection and risk assessment.
📋 Description Data analysis and modeling: Explore large datasets to uncover fraud patterns. Model development and validation: Build and validate models for imbalanced fraud data. Feature engineering: Create derived variables to boost model performance. Cross-functional collaboration: Work with engineering, product, and operations teams. Monitoring and iteration: Track model performance and iterate on changes. Research and innovation: Stay up to date on ML techniques for fraud detection. 🎯 Requirements Degree in Data Science, Statistics, Mathematics, CS with strong programming skills. 1-2 years in Data Science or Data/Business Analytics with ML knowledge. 2+ years of Python and SQL experience. Knowledge of fraud detection, anomaly detection, or imbalanced-data modeling. Strong analytical skills and ability to extract actionable insights from data. AWS Services knowledge is a plus.
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FAQ
Is the Fraud Data Science role at Cobalt Streamworks remote?+
This Fraud Data Science position is listed as remote (Guatemala).
What seniority level is this Fraud Data Science role?+
This is a mid level position.
What languages does the Fraud Data Science role require?+
The posting requires Spanish.
How do I apply for the Fraud Data Science role at Cobalt Streamworks?+
Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Cobalt Streamworks.