Data Scientist I

As a Data Scientist I here at Honeywell, you will be responsible for applying data analysis, machine learning, and statistical modeling techniques to solve business problems. You will work closely with senior data scientists and cross-functional teams to develop and implement data-driven solutions that drive business value. In this role, you will impact the organization by leveraging data to optimize processes, reduce costs, and identify growth opportunities. Your contributions will help position Honeywell at the forefront of data-driven innovation. Key Responsibilities Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions Manage endtoend data science projects, ensuring alignment with business objectives and successful delivery of actionable insights Provide mentorship and guidance to junior data scientists Contribute to the strategic vision of the Data Science team Apply strong analytical and problemsolving skills to address complex data challenges and generate valuable insights YOU MUST HAVE 0+ years of experience in data science, with a focus on applying machine learning and statistical modeling techniques Proficiency in programming languages such as Python or R Strong analytical and problem-solving skills WE VALUE Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline Experience in working on data science projects and delivering actionable insights Ability to collaborate effectively with cross-functional teams Strategic thinking and the ability to contribute to the overall direction of the Data Science team As a Data Scientist I here at Honeywell, you will apply data analysis, machine learning, and statistical modeling to solve business problems. Collaborate with senior data scientists and teams to drive data-driven solutions.You will report directly to our [Title] and you’ll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.