Data Scientist II

Job-:
Data & Analytics

Location:

Charlotte, NC, United States Workplace:
Hybrid

Schedule:

Full time Posted:
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  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.

QualificationsYOU MUST HAVE5+ 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 VALUEIntrapreneurial 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, Sentinel One, Tanium or Qualys.

Experience with cloud platforms and machine learning lifecycle management.

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. This package includes 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), and 12 Paid Holidays. Learn more ()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…