The Role
Apply machine learning, statistical modeling, and data analysis to develop algorithms and deliver data-driven solutions. Manage end-to-end projects, collaborate with cross-functional teams, provide mentorship, and generate actionable insights to optimize processes and drive business value.
Summary Generated by Built In
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.
ResponsibilitiesKey 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
- 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
- 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
Skills Required
- 0+ years of experience in data science with focus on machine learning and statistical modeling
- Proficiency in programming languages such as Python or R
- Strong analytical and problem-solving skills
- Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, or related discipline
- Experience working on data science projects and delivering actionable insights
- Ability to collaborate effectively with cross-functional teams
- Strategic thinking and ability to contribute to team direction
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The Company
