Job Description

Data Scientist II (B3) - (ML/AI)

Position 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 how Technology can enable us meet VE/CE revenue targets.

You will be responsible for developing, deploying and maintaining AI/ML Models, Visualizations & Dashboards for VE/CE CoE

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:

Bachelors / Master's degree in Engineering, Applied Mathematics or related field
4 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
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 Azure Databricks, 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

Working knowledge in LLM models like Llama, GPT , frameworks like LangChain and vector databases
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 Us

Honeywell 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.

AI Engr II

Advanced AI Engr