As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced data analytics models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Your role will involve leveraging machine learning, statistical modeling, and data analysis techniques to provide actionable insights that drive business value.
In this role, you will impact the business by optimizing processes, reducing costs, and identifying growth opportunities through data-driven insights. Your contributions will help position Honeywell at the forefront of data-driven innovation, leveraging cutting-edge technologies and advanced analytics to propel the business forward.
Your role will also include overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success.
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
- 2+ years of experience within data analysis, statistical modeling, or a related field
- Proven experience in developing and implementing data science projects
- Strong project management and organizational abilities
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 align data science initiatives with business objectives