As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities.

In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture.

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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.

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As an Advanced Data Scientist here at Honeywell, you will provide technical insight in machine learning, statistical modeling, and data analysis. You will translate business needs into data science solutions and mentor junior data scientists. You will report directly to our Director of Engineering and you’ll work out of our Pittsford, NY location on an Hybrid work schedule.

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YOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics.
• BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
• At least 5 years of experience in modern advanced analytical tools and programming languages, including Python.
• 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.
• At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C#
• Comfortable in Windows and Linux environments

WE VALUE

• BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
• 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 $124,000 - $155,000. 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.

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: Benefits at Honeywell

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 Posting Date: 1/14/2026

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Key Responsibilities

• Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
• Interact with 3^rd 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 3^rd 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