Data Science Co-Op - Spring/Summer 2027

Honeywell INC.; Town of Pittsford (NY); On-site; USD 28,000 - 62,000; Part time

Benefits offered by this job

Mentorship program

Growth opportunities

Professional development

Job summary

Honeywell INC. is seeking a Data Science Co‑op in Pittsford, NY. You will join a team of data scientists to drive data‑driven decisions and create insights that support business growth and operational excellence.

You will work on cutting‑edge software solutions, applying your skills in Python, data visualization, and emerging AI tools. The role emphasizes collaboration, mentorship, and hands‑on learning, with opportunities to build semantic search capabilities, vector embeddings, and graph‑based

Qualifications

• Currently pursuing a bachelor's degree (or higher) in a related field.
• Must graduate December 2027 or later.
• Must continue enrollment in degree program upon completion of the co‑op.
• GPA 3.0+ required.

Responsibilities

• Collaborate with cross‑functional teams to identify business challenges and opportunities where data science can provide valuable insights.
• Assist in developing and implementing advanced analytical models and methodologies to analyze complex data sets.
• Support data visualization efforts to effectively communicate insights to stakeholders.
• Conduct data analysis and provide actionable recommendations based on data‑driven insights.
• Stay updated with the latest trends and advancements in data science and identify opportunities to leverage new tools and technologies.

Skills

Python programming

NoSQL / Vector DB experience

AWS/Azure cloud

Data visualization tools

LLMs via APIs

Knowledge graphs

Dense vector embeddings

Education

Pursuing bachelor's degree

Tools

Matplotlib

Plotly

Power BI

Job description

Job Description

As a Data Science Co‑op here at Honeywell, you will have the opportunity to apply your knowledge and skills in a real‑world setting. You will work alongside our experienced data scientists and contribute to projects that drive data‑driven decision‑making and provide valuable insights to support business growth and operational excellence.

In this role, you will impact the development of cutting‑edge software solutions, contributing to Honeywell's mission of delivering high‑quality products and services. Your work will help improve the efficiency, productivity, and safety of various industries, making a tangible difference in the world.

At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

Responsibilities

Key Responsibilities

• Collaborate with cross‑functional teams to identify business challenges and opportunities where data science can provide valuable insights


• Assist in developing and implementing advanced analytical models and methodologies to analyze complex data sets


• Support data visualization efforts to effectively communicate insights to stakeholders


• Conduct data analysis and provide actionable recommendations based on data‑driven insights


• Stay updated with the latest trends and advancements in data science and identify opportunities to leverage new tools and technologies

Through hands‑on learning experiences, global exposure, networking, and professional development opportunities, Honeywell Co‑ops will shape the future. You'll have the opportunity to work alongside industry experts, lead initiatives that refine technical skills, and have unparalleled mentorship and growth opportunities that will elevate your career. #Futureshaper

Location:

1212 Pittsford‑Victor Road, Pittsford, NY 14534 USA

Qualifications

YOU MUST HAVE

• Currently pursuing a bachelor's degree (or higher) from an accredited college or university in (ex. Software Engineering) or similar field


• Must graduate December 2027 or later


• Must continue enrollment in degree program upon completion of the co‑op


• Validated academic excellence (3.0 GPA and higher)


• Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S.

WE VALUE:

• Enthusiasm for working in a collaborative team environment, including a willingness to seek and offer help.


• Familiarity with using LLMs, especially via APIs


• Understanding of application of dense vector text embedding models for finding semantic similarity


• NoSQL / Vector Database experience


• Knowledge Graph construction and search


• Cloud platform services experience on AWS or Azure


• Python programming


• Data visualization modules & packages, such as matplotlib, plotly, Power BI, etc.


• Infrastructure as code

The hourly base range for this position is $20/hr - $45/hr. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.

Honeywell is currently unable to consider applicants who would require current or future sponsorship for employment authorization for this position. Candidates must be authorized to legally work in the United States without current or future sponsorship requirements.

About Us

Honeywell Technologies is a global, pure‑play automation company with a legacy of innovating to help solve the world's most mission‑critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.