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 3^rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3^rd 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 3^rd parties will extend the capabilities of our core product ecosystems. 

• 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