As a Sr Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and data science to develop innovative solutions that drive business growth and operational efficiency. You will work on complex data sets and cutting-edge technologies to extract actionable insights that influence strategic decisions.

You will work out of our Atlanta, GA location on a hybrid work schedule.

In this role, you will impact the company's ability to harness data-driven insights to optimize processes, enhance product offerings, and contribute to Honeywell's leadership in technology innovation.

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. For more information visit: click here

The application period for the job is estimated to be 40 days from the job posting date 4/3/2026; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT:

Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :click here

• YOU MUST HAVE- Extensive experience in advanced data analysis, statistical modeling, and machine learning techniques.

• Strong proficiency in programming languages such as Python or R, with experience in relevant data science libraries and tools.

• Expertise in handling large-scale data sets and applying data mining and predictive analytics to generate business insights.

• Experience with cloud platforms and big data technologies is highly desirable.

• WE VALUE- Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.

• Proven track record of delivering impactful data science projects in a business environment.

• Strong problem-solving skills and ability to work collaboratively in cross-functional teams.

• Familiarity with data visualization tools and techniques to communicate findings effectively.

• Knowledge of industry-specific applications and trends in data science.

• KEY RESPONSIBILITIES- Develop and implement advanced data science models and algorithms to solve complex business problems.

• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.

• Analyze large and diverse data sets to identify trends, patterns, and opportunities for improvement.