As a Data Scientist II here at Honeywell, you will be responsible for providing project guidance on data analysis, machine learning, and statistical modeling. You will oversee and prioritize data science projects, ensuring alignment with business goals and objectives. Your role will involve providing technical leadership and support to the data science team and collaborating cross-functionally to identify opportunities for leveraging data to drive business value.
You will report directly to our Sr. IT Director, and you'll work out of our either Charlotte, NC OR Atlanta, GA location on a hybrid work schedule.In this role, you will have a significant impact on the business by deriving actionable insights from data, optimizing processes, reducing costs, and identifying growth opportunities. Your work will position Honeywell at the forefront of data-driven innovation.
KEY RESPONSIBILITIES • Lead the development and implementation of advanced analytics models and algorithmsYOU MUST HAVE
WE VALUE
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. THE BUSINESS UNIT Honeywell Corporate (CORP) is the central business unit that provides strategic direction, guidance, and support to all other Honeywell business units. As a Data Scientist II in the Corporate team, you will have the opportunity to work on a wide range of projects and collaborate with various business units to drive data-driven insights and innovation.Global (ALL)
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
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