Innovate to solve the world's most important challenges

As an Advanced Data Scientist at Honeywell, you'll drive innovation through cutting-edge AI technologies. You'll develop and deploy generative AI solutions, implement RAG systems, and create agentic AI models to solve complex business challenges.

You will report directly to our Director of Data Science, and you'll work out of our Charlotte, NC location on a hybrid work schedule.

• Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.

KEY RESPONSIBILITIES

• Develop and deploy generative AI models, including RAG systems and agentic AI solutions
• Implement end-to-end machine learning pipelines from data preparation to production deployment
• Collaborate with business leaders to translate requirements into AI solutions
• Lead AI projects with a focus on scalability, efficiency, and business impact
• Mentor junior data scientists and promote innovative practices

Relocation support may be provided

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; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

YOU MUST HAVE

• 2+ years of experience managing AI technology projects
• Strong Gen AI development skills including RAG implementations, vector databases, and embeddings
• Experience building retrieval systems and semantic search applications
• Hands-on experience developing and deploying generative AI models and agentic AI solutions (e.g.. AI chatbot)
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
• Experience with cloud AI services (Azure, AWS, Google) and MLOps practices
• Hands-on experience with typical development toolchain such as IDE (VS Code, IntelliJ, etc.), version control system (Git)

WE VALUE

• Experience fine-tuning pre-trained LLM models
• Bachelor's degree in computer science or engineering or mathematics, or related field
• Advanced degree in a quantitative field
• Experience with data visualization and storytelling

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 Corporate (CORP) is the central business unit that supports and drives the overall strategic direction of Honeywell. As an Advanced Data Scientist in the Corporate team, you will have the opportunity to work on a wide range of projects and collaborate with various business units to drive data-driven insights and analytics.

Additional Information

• JOB ID: req490092
• Category: Data & Analytics
• Location: 855 S Mint St,Charlotte,North Carolina,28202,United States
• Exempt

Engineering (GLOBAL)

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.