Data Scientist II

Honeywell Technologies; Charlotte (NC); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability

401(k) match

Flexible Spending Accounts

Health Savings Accounts

EAP

Educational assistance

Parental leave

Paid time off

Paid holidays

Job summary

Honeywell Technologies in Charlotte, NC is seeking a Data Scientist II to develop and implement advanced analytics models that solve business problems and deliver actionable insights. You will report to the Director of IT and Cybersecurity Audit and work in-office for the first 90 days, then transition to a hybrid schedule.

The role focuses on building analytics and ML models for audit, risk management, cybersecurity, and fraud detection, ensuring regulatory compliance while improving

Qualifications

• 2+ years of experience in data analysis, statistical modeling, or another related field.
• 2+ years of experience developing and implementing advanced analytics models, machine learning models, or statistical algorithms.
• 2+ years of experience managing or contributing to data science, analytics, or machine learning projects from development through implementation.

Responsibilities

• Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions.
• Manage endtoend data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights.
• Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture.
• Contribute to the strategic vision of the Data Science team, providing input on initiatives that align with business objectives.
• Apply strong analytical and problemsolving skills to address complex data challenges and generate valuable insights.

Skills

Python

R

Statistical modeling

Machine learning

Data analysis

Mentorship

Education

Bachelor's degree in Computer Science / Statistics / Mathematics

Advanced degree

Tools

Python

R

Job description

Job Description

As a Data Scientist II here at Honeywell, you will develop and implement advanced analytics models to solve complex business problems, collaborating with teams to deliver actionable insights and drive data-driven innovation. You will report directly to the Director of IT and Cybersecurity Audit, and you'll work out of our Charlotte, NC HQ on an in office for first 90 days then 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

• Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions
• Manage endtoend data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights
• Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture
• Contribute to the strategic vision of the Data Science team, providing input on initiatives that align with business objectives
• Apply strong analytical and problemsolving skills to address complex data challenges and generate valuable insights

Qualifications

YOU MUST HAVE

• 2+ years of experience in data analysis, statistical modeling, or another related field
• 2+ years of experience developing and implementing advanced analytics models, machine learning models, or statistical algorithms
• 2+ years of experience managing or contributing to data science, analytics, or machine learning projects from development through implementation

WE VALUE

• Bachelor's degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
• Experience in leading and ownership of complex data projects
• Proficiency in programming languages such as Python or R
• Strategic thinking and the ability to align data science initiatives with business objectives

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 (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.