Experience:

• 5 or more years of relevant experience in Data Science and analytics
• Have worked on 4+ production grade data analytics applications

Qualification:

• Bachelor’s degree in engineering, Applied Mathematics or related field
• Master’s degree in engineering, Applied Mathematics or related field

Role Focus:

• Understand business problem and formulate into appropriate AI / ML model
• Build visualizations to develop compelling stories and insights from data
• Clean and preprocess large volume of data
• Implement analytics and 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
• Troubleshooting, packaging and maintenance of ML solutions

Nice to have:

• Experience in Google Vertex AI and GCP services
• Experience working with Apache Spark, Azure, Hadoop
• 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

More skills:

Dash, Shiny, SQL databases, No-Sql databases, Snowflake, data structures, algorithms, software engineering principles, data integration tools, ETL processes, CI/CD, Dev Ops, ML Ops, Structured data, Unstructured data, classical Machine Learning

Other:

• Honeywell helps organizations solve complex challenges in automation, aviation, and energy transition
• Honeywell Forge software powers business segments in Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation