Data Scientist II

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.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.YOU MUST HAVE2+ years of experience in data analysis, statistical modeling, or another related field2+ years of experience developing and implementing advanced analytics models, machine learning models, or statistical algorithms2+ years of experience managing or contributing to data science, analytics, or machine learning projects from development through implementationWE VALUEBachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related disciplineExperience in leading and ownership of complex data projectsProficiency in programming languages such as Python or RStrategic thinking and the ability to align data science initiatives with business objectivesBENEFITS OF WORKING FOR HONEYWELLIn 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 ( 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 9/14/2026ABOUT HONEYWELL TECHNOLOGIESHoneywell 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 ( ResponsibilitiesApply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutionsManage endtoend data science projects, ensuring alignment with business objectives and the successful delivery of actionable insightsProvide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team cultureContribute to the strategic vision of the Data Science team, providing input on initiatives that align with business objectivesApply strong analytical and problemsolving skills to address complex data challenges and generate valuable insightsFull timePosting Date: 2026-09-14