Senior Data Scientist: Audit Analytics & AI (Hybrid)

Kornferry Honeywell; Davidson (NC); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work schedule

Competitive compensation

Comprehensive benefits package

Career development

Job summary

Honeywell is seeking a Data Scientist II to advance audit analytics, risk management, cybersecurity, and fraud detection through predictive modeling and AI-enabled data solutions. You will build ETL pipelines, leverage Snowflake/Databricks, and deploy models with explainable AI techniques while collaborating with IT and cybersecurity teams.

You will work from our Charlotte HQ on a Hybrid schedule, reporting to the Director of IT and Cybersecurity Audit, and contribute to governance, risk, and

Qualifications

• Experience applying analytics to audit, risk management, cybersecurity, or regulatory compliance.
• Experience with audit analytics aligned to SOX, GDPR, NIST, or PCI DSS.
• Strong programming in Python and SQL.
• Knowledgeable about explainable AI techniques (SHAP/LIME).

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 ETL pipelines and data warehouses using Snowflake and Databricks.
• Develop enterprise risk and fraud analytics models focusing on KRIs, risk scoring, anomaly detection, and fraud prevention; visualize results with PowerBI.
• Build and optimize predictive models for classification and regression tasks.
• Utilize SHAP and LIME to interpret and explain model predictions.
• Monitor model performance, detect drift, and retrain models as needed.
• Leverage Spark for large-scale data processing and analytics.
• Implement CI/CD pipelines for analytics and ML workflows for seamless deployment.
• Utilize security tools like Splunk, Defender, SentinelOne, and Qualys to support data security and compliance.
• Apply generative and agentic AI technologies with platforms like ServiceNow, Azure AI, LLMs, and NLP for data summarization and insights.

Skills

Audit analytics

Risk analytics

Fraud analytics

Predictive modeling

ETL pipelines

Snowflake

Databricks

PowerBI

Python

SQL

SHAP

LIME

Spark

CI/CD

LLMs/NLP

Splunk

Education

Bachelor’s or Master’s degree in Data Science / CS / Engineering

Tools

Snowflake

Databricks

PowerBI

Spark

Python

SQL

Job description

Honeywell is seeking a Data Scientist II to advance audit analytics, risk management, cybersecurity, and fraud detection through predictive modeling and AI-enabled data solutions. You will build ETL pipelines, leverage Snowflake/Databricks, and deploy models with explainable AI techniques while collaborating with IT and cybersecurity teams.

You will work from our Charlotte HQ on a Hybrid schedule, reporting to the Director of IT and Cybersecurity Audit, and contribute to governance, risk, and