Advanced Data Scientist
About The Position
As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities. In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture. 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
- Expertise in machine learning
- Expertise in statistical modeling
- Expertise in data analysis
Responsibilities
- Providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects.
- Working closely with leadership to translate business needs into data science solutions.
- Contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities.
- Applying expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions.
- Managing end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights.
- Providing mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture.
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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
