Sr Advanced Data Scientist

Honeywell • Pittsford, NY

3h • Hybrid

About The Position

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 a Senior 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 will report directly to our Director, Engineering and you’ll work out of our Pittsford, NY 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

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.

Responsibilities

• data engineering
• leveraging closed and open-source LLMs, text and multi-modal embedding models
• development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes
• develop new innovative solutions
• evaluate & integrate 3rd party solutions
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees