Data Scientist II

Honeywell•Pittsford, NY

4d•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 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 You will report directly to our Director of Engineering, and you’ll work out of our Pittsford, NY location on a Hybrid work schedule. As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced data analytics models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Your role will involve leveraging machine learning, statistical modeling, and data analysis techniques to provide actionable insights that drive business value. In this role, you will impact the business by optimizing processes, reducing costs, and identifying growth opportunities through data-driven insights. Your contributions will help position Honeywell at the forefront of data-driven innovation, leveraging cutting-edge technologies and advanced analytics to propel the business forward. 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.

Requirements

Data driven professional
Experience with data mining, generative AI, and ML techniques
Experience with closed and open-source LLMs
Experience with text and multi-modal embedding models
Experience developing generative AI systems and ML models
Experience developing and implementing advanced data analytics models and algorithms
Experience with machine learning, statistical modeling, and data analysis techniques

Responsibilities

Design & build in-house analytical components
Evaluate and integrate 3rd 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
Data engineering
Leverage closed and open-source LLMs, text and multi-modal embedding models
Development of 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 that drive business value
Optimize processes, reduce costs, and identify growth opportunities through data-driven insights