Job description preview
From Honeywell’s original posting
As a Data Scientist II here at Honeywell, you will leverage your expertise in audit analytics, data engineering, risk and fraud analytics, predictive modeling, and advanced AI technologies to drive impactful data science initiatives aligned with regulatory compliance and business objectives. You will report directly to the Director of IT and Cybersecurity Audit and you’ll work out of our Charlotte HQ on a Full-Time / Hybrid work schedule. In this role, you will impact the development and deployment of advanced analytics and machine learning models that support audit, risk management, cybersecurity and fraud detection efforts, while ensuring compliance with industry regulations and enhancing operational efficiency. Key Responsibilities • Lead audit analytics initiatives aligned with SOX, GDPR, NIST, and PCI DSS frameworks, including scoping, probabilistic modeling, testing, and reporting. • Design, develop, and maintain robust ETL pipelines and data warehouses using Snowflake and Databricks. • Design, develop, and maintain enterprise risk and fraud analytics models focusing on KRIs, risk scoring, anomaly detection, and fraud prevention while leveraging data visualization tools, such…
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