Descriptionas 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.responsibilitieslead the development and implementation of advanced analytics models and algorithmscollaborate with crossfunctional teams to understand business needs and formulate datadriven solutionsmentor and guide junior data scientists, fostering a collaborative and innovative work environmentensure the delivery of high quality, actionable insights to support business decision makingdrive innovation within the team, exploring new methodologies and technologies to enhance analytical capabilitiesqualificationsmust have5+ years of experience in data science, with a focus on leading complex projects and delivering impactful solutionsmastery experience with sql, power bi, excel and tableau. English proficiencystrong project management and organizational abilitiesdemonstrated ability to lead and mentor junior data scientistswe valuebachelor's degree or advanced degree in computer science, statistics, mathematics, or related disciplineexperience in leading and ownership of complex data projectsproficiency in programming languages such as python or rstrategic thinking and the ability to contribute to the overall direction of the data science team#li-hybrid