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

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.

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.