IT Cloud Data Scientist (GA767893)
Key Responsibilities
·Collect, clean, and analyze large, complex datasets from multiple sources.
·Develop predictive models and machine learning algorithms to support decision-making and improve business performance.
·Translatebusiness problems into data-driven solutions with measurable impact.
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Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns.
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Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.
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Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions.
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Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.
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Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights.
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Stay current with emerging fraud techniques, industry best practices, and data science tools.
Required Qualifications
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Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, Economics or a related field.
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10+ years of professional experience in data science
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Proficient in Python, SQL, SAS and machine learning techniques
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Experience in responsible use of AI if used in solution design
·Strong analytical skills and the ability to identify patterns and trends from data
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Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure).
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Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
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Experience with visualization tools like Tableau and Power BI.