Honeywell—Sr Advanced Data Scientist

Job description

Description: As a Sr 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 exploring new approaches to enhance analytical capabilities. In this role, you will impact the strategic vision of the Data Science team, providing input on initiatives that align with business objectives. You will lead complex projects, provide technical expertise, and contribute to the strategic vision of the team. Let’s shape the future of how we use data together. Requirements: YOU MUST HAVE - 5+ years of experience in data science, with a focus on leading complex projects and delivering impactful solutions - Mastery experience in machine learning, statistical modeling, and data analysis - Strong project management and organizational abilities - Demonstrated ability to lead and mentor junior data scientists WE VALUE - Bachelor’s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline. - Experience in leading and ownership of complex data projects - Proficiency in programming languages such as Python or R - Strategic thinking and the ability to contribute to the overall direction of the Data Science team Responsibilities: Key Responsibilities - Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions - Manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights - Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture - Contribute to the strategic vision of the Data Science team, providing input on initiatives that align with business objectives - Apply strong analytical and problem-solving skills to address complex data challenges and generate valuable insights