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About the Role

Honeywell is seeking a data-driven professional to join its Data Science engineering team. This role involves designing and building in-house analytical components, evaluating and integrating third-party solutions, and deploying state-of-the-art AI/ML models and data mining techniques to unlock new security insights for end-user customers. You will leverage closed and open-source LLMs, text and multi-modal embedding models, and develop new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes.

Responsibilities

Design and build in-house analytical components.
Evaluate and integrate third-party analytical components.
Develop new innovative solutions.
Deploy state-of-the-art AI-ML models and data mining techniques.
Leverage physical access control system datasets to unlock new security insights.
Integrate systems together.
Mash-up and analyze datasets.
Leverage state-of-the-art data mining, generative AI, and ML techniques to drive decision making.
Perform data engineering.
Leverage closed and open-source LLMs.
Leverage text and multi-modal embedding models.
Develop new generative AI systems and ML models.
Deliver analytical systems that improve forensic and real-time security outcomes.
Develop and implement advanced data analytics models and algorithms to solve complex business problems.
Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions.
Leverage machine learning, statistical modeling, and data analysis techniques to provide actionable insights.
Optimize processes, reduce costs, and identify growth opportunities through data-driven insights.

Requirements

Data driven professional
Experience with data engineering
Experience leveraging closed and open-source LLMs
Experience with text and multi-modal embedding models
Experience developing new generative AI systems and ML models
Experience developing and implementing advanced data analytics models and algorithms
Experience working closely with cross-functional teams
Experience translating business needs into data-driven solutions
Experience leveraging machine learning, statistical modeling, and data analysis techniques

Skills

Data mining
Generative AI
Machine learning (ML)
Data analysis
Statistical modeling
LLMs
Text embedding models
Multi-modal embedding models

Location

Pittsford, NY

Work Type

Hybrid

Experience Level

Data Scientist II

About the Company

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.