Data Scientist II

Kornferry Honeywell

Davidson (NC)

Hybrid

USD 90,000 - 130,000

Full time

31 hours ago

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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

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.

Responsibilities

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 as PowerBI.
Build and optimize predictive models for classification and regression tasks.
Utilize SHAP and LIME techniques to interpret and explain model predictions.
Monitor model performance, detect drift, and retrain models as necessary to maintain accuracy.
Leverage Spark for large-scale data processing and analytics.
Implement CI/CD pipelines for analytics and machine learning workflows to ensure seamless deployment and integration.
Utilize security tools such as Splunk, Defender, SentinelOne, and Qualys to support data security and compliance.
Apply generative and agentic AI technologies for audit use cases, integrating platforms like ServiceNow, Azure AI, large language models (LLMs), and natural language processing (NLP) for data summarization and insights.

Qualifications

YOU MUST HAVE

5+ years of experience in data science, audit analytics, risk analytics, fraud analytics, or a related field.
3+ years of experience developing and implementing predictive or machine learning models, including classification, regression, anomaly detection, or risk scoring.
3+ years of experience developing data pipelines, ETL processes, business intelligence /data visualization or data warehouse solutions using technologies such as PowerBI, Snowflake, Databricks, or Spark.
3+ years of experience applying data analytics to Enterprise Risk Management, business, risk, audit, compliance, cybersecurity, or fraud-related problems.

WE VALUE

Intrapreneurial growth mindset—demonstrated ability to proactively identify opportunities, challenge existing approaches, experiment responsibly, learn from feedback, and take ownership of innovative solutions that create measurable business value.
Experience managing projects and communicating with senior stakeholders.
Strong analytical skills with the ability to translate complex data into actionable insights.
Ability to collaborate effectively across technical and business teams in a fast-paced environment.
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
Experience applying analytics to audit, risk management, cybersecurity, fraud detection, or regulatory compliance use cases.
Experience with audit analytics aligned to frameworks such as SOX, GDPR, NIST, or PCI DSS.
Proficiency in programming languages such as Python and SQL.
Experience with explainable AI techniques such as SHAP or LIME.
Experience monitoring model performance, detecting model drift, and retraining machine learning models.
Experience implementing CI/CD pipelines for analytics or machine learning workflows.
Experience with generative AI, agentic AI, large language models (LLMs), natural language processing (NLP), or AI-enabled data summarization.
Experience using security and cybersecurity tools such as Splunk, Microsoft Defender, SentinelOne, Tanium or Qualys.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.

Employer subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP, and Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays

Learn more (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job posted 9/14/2026

ABOUT HONEYWELL TECHNOLOGIES

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Learn more (https://www.honeywell.com/us/en)

About Us

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Job Info