Data Engineer I

Posted Yesterday
Be an Early Applicant
3 Locations
Hybrid
Entry level
Aerospace • Security • Energy • Industrial
The Role
As a Data Engineer I at Honeywell, you will utilize data analysis, machine learning, and statistical modeling to solve business problems and optimize processes.
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
QualificationsYOU MUST HAVE
  • 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
WE VALUE
  • 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
About UsHoneywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Skills Required

  • 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

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Charlotte, NC
110,269 Employees
Year Founded: 1906

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.

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