Data Science Co-op

## 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 technologiesLocation: 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