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.
ResponsibilitiesKey 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
- 6+ 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
- 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
Skills Required
- 6+ years of experience in data science
- 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
- Bachelor's degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
