As an 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 explore new approaches to enhance analytical capabilities.
In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture.
ResponsibilitiesKey Responsibilities- Lead the development and implementation of advanced analytics models and algorithms
- Collaborate with crossfunctional teams to understand business needs and formulate datadriven solutions
- Mentor and guide junior data scientists, fostering a collaborative and innovative work environment
- Ensure the delivery of highquality, actionable insights to support business decisionmaking
- Drive innovation within the team, exploring new methodologies and technologies to enhance analytical capabilities
- 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
- 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
- 5+ years of experience in data science, leading complex projects and delivering impactful solutions
- Mastery 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 ability to contribute to Data Science team direction
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.
