Advanced Data Scientist

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.

Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes. These analytical systems you develop in-house and those integrated from 3rd parties will extend the capabilities of our core product ecosystems.

Honeywell helps organizations solve the world''s most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

YOU MUST HAVE

• BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
• 5+ years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
• Proficiency with exploratory data analysis
• Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files
• Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
• 5+ years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C++, or C#
• Comfortable in Windows and Linux environments

WE VALUE

• Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
• Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
• Experience in building predictive and decision-making AI applications.
• Experience using cloud services from AWS, Azure, or GCP to develop solutions.
• Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification
• Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
• Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
• Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
• Continuous learning mindset

The annual base salary range for this position is $130.000.00 - $162,000.00. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate''s work experience, education and training, key skills, as well as market and business considerations.

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: July 7, 2026

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, 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 (https://www.honeywell.com/us/en)

THE BUSINESS UNIT

Honeywell Building Automation (BA) is a leading global provider of products, software, solutions, and technologies that enable building owners and occupants to ensure their facilities are safe, energy efficient, sustainable, and productive. BA products and services include advanced software applications for building control and optimization; sensors, switches, control systems, and instruments for energy management; access control; video surveillance; fire products; and installation, maintenance, and upgrades of systems. Revenues in 2022 for BA were $6B and there are approximately 18,000 employees globally. To learn more, please visit https://buildings.honeywell.com/

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

KEY RESPONSIBILITIES

• Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
• Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
• Design, prototyping, and implementation of new data-centric solutions
• Effectively communicate and collaborate with local teams, international teams, and 3rd parties
• Contribute to build versus buy decisions
• Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
• Self-starter that can take minimal direction and deliver results
• Curious problem solver

KEY RESPONSIBILITIES

• Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
• Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
• Design, prototyping, and implementation of new data-centric solutions
• Effectively communicate and collaborate with local teams, international teams, and 3rd parties
• Contribute to build versus buy decisions
• Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
• Self-starter that can take minimal direction and deliver results
• Curious problem solver