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
ResponsibilitiesKey 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.
About UsHoneywell 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.
Skills Required
- Bachelors/Masters degree in Engineering, Applied Mathematics or related field
- 4 or more years of relevant experience in Data Science and analytics
- Worked on 4+ production grade data analytics applications
- Strong expertise in scripting and querying languages, such as Python, R, SQL
- Experience with popular Python and R packages like SciKit, TensorFlow, Pytorch, Dash, Shiny
- Strong knowledge of SQL and No-SQL databases
- Working knowledge in data warehouse platforms (Snowflake)
- Strong analytics skills to drive insights and recommendations
- Experience using data integration tools for ETL processes
- Experience in Azure Databricks, CI/CD & Dev Ops & ML Ops Process
- Experience with Structured and Unstructured data
- Experience in Deep Learning and classical Machine Learning
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
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.
