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.
YOU MUST HAVEBS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)2 years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learnSome experience with exploratory data analysisSome experience with ETL operations sourcing data from SQL, REST APIs, and flat filesBasic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.2 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C plus plus or C#Comfortable in Windows and Linux environments WE VALUESome exposure to building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworksBasic understanding of various deployment topologies including on-premises, hybrid, and cloud for production generative AI applicationsBasic understanding of building predictive and decision-making AI applications.Some exposure to using cloud services from AWS, Azure, or GCP to develop solutions.Awareness of computer vision and image/video analysis, including object detection, recognition, tracking, and identificationSome exposure 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 miningProblem 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 audiencesContinuous learning mindset The annual base salary range for this position is $99,200 - $124,000.  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 Honeywell Benefits information visit: https://benefits.honeywell.com/ 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: 2/5/2026 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.
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