Job Description Honeywell's Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) is a dynamic collective of professionals dedicated to refining product development through innovative engineering and strategic component selection. You will be part of Honeywell's VE/CE CoE Advanced Tech team with focus on developing and deploying Gen AI, data science, visualization offerings to exceed VECE revenue targets. Responsibilities Key Responsibilities: Understand Business problem and formulate into appropriate AI / ML model. Build Visualizations to develop compelling stories & Insights from data Clean and preprocess large volume of data Implement Analytics & Dashboards solutions for VE/CE COE Develop ML/AI Models to analyze and mine large amount of Data. Develop scripts to automate and deploy Production ready ML solutions. Trouble shooting, Packaging and maintenance of ML solutions. Qualifications YOU MUST HAVE: Bachelor’s / master’s degree in engineering, Applied Mathematics or related field 5 or more years of relevant experience in Data Science and analytics Have worked on 4+ production grade data analytics applications Strong expertise in scripting and querying languages, such as Python, R, SQL Demonstrated experience in popular Python and R packages like SciKit, TensorFlow, Pytorch, Dash, Shiny etc Experience in building AI agent frameworks like LangChain, LangGraph and LLM models like Gemini, GPT-4, Llama Strong knowledge in 1-2 SQL databases and No-Sql databases Working knowledge in data warehouse platforms (Snowflake) Strong knowledge of data structures, algorithms, and software engineering principles. Strong analytics skills: ability to assess data, drive insights, and make recommendations. Experience in using data integration tools for ETL processes Experience in CI/CD & Dev Ops & ML Ops Process Experience with both Structured and Unstructured data Experience in Deep Learning and classical Machine Learning NICE TO HAVE Experience in Google Vertex AI and GCP services Experience working with Apache Spark, Azure, Hadoop, etc. Knowledge of Agile development methodology Working knowledge in visualization and reporting tools like Tableau, Power BI Exposure to Database schema design and ETL tools Exposure to enterprise tools like SAP, SFDC, Teamcenter etc.

About Honeywell

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.