Sr Advanced Data Scientist
Honeywell · Posted Oct 13
Building automation, industrial automation, aerospace, and energy-efficient technology solutions
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About the role
Honeywell's AI and Analytics product development team builds AI-powered products that turn large-scale industrial and enterprise data into actionable insights and intelligent solutions. The team works across Generative AI, Machine Learning, Deep Learning, and modern Data Engineering technologies. This role drives the research, design, development, and deployment of scalable, production-grade AI/ML solutions and data pipelines, from proof-of-concept through deployment and lifecycle management.
What you will do
- Research and apply advancements in Artificial Intelligence, including: Generative AI and Large Language Models (LLMs); Causal AI; Knowledge Graphs; Machine Learning and Deep Learning
- Design, develop, and deploy scalable AI/ML solutions that solve complex customer and business problems.
- Lead research initiatives, proof-of-concepts, pilot programs, and rapid prototyping activities to evaluate emerging technologies and product opportunities.
- Build and optimize data pipelines, data engineering workflows, and analytics platforms to support machine learning applications.
- Process, transform, and prepare structured and unstructured data for advanced analytics and AI model consumption.
- Collaborate with product managers, domain experts, software engineers, architects, and stakeholders to deliver end-to-end solutions.
- Perform problem analysis, solution design, development, integration, testing, deployment, maintenance, and support of analytics and AI products.
- Establish best practices, standards, and governance processes for AI/ML model development, deployment, monitoring, and lifecycle management.
- Develop high-quality, maintainable, and testable software using modern engineering practices including automated unit testing and CI/CD.
- Evaluate and adopt productivity-enhancing tools, frameworks, and emerging technologies to accelerate innovation and delivery.
Skills used in this role
What the employer is looking for
- Bachelor's or master’s degree in Engineering, Applied Mathematics, Statistics, or a related discipline.
- 8 to 14 years of overall experience with at least 4 years of relevant experience in AI/ML, Analytics, Data Science, or Data Engineering product development.
- Strong analytical and problem-solving skills with the ability to derive insights from complex data.
- Experience developing and deploying machine learning or AI-based products in production environments.
- Experience working in agile product development organizations.
- Generative AI
- Large Language Models (LLMs)
- Machine Learning
- Deep Learning
- Statistical Modeling
- Predictive Analytics
- Knowledge Graphs
- Causal AI
- Model Deployment and Monitoring
- Advanced Python
- PySpark
- Data Processing and Transformation
- Data Pipeline Development
- Data Preparation for ML Workloads
- Python Packaging and Deployment
- Automated Unit Testing (PyTest)
- CI/CD and DevOps Practices
- Git / Bitbucket
- GitHub Copilot
- Scalable and Performant Application Design
Preferred qualifications
- Experience working with Industrial Automation, Manufacturing, Process Control, or Industrial IoT data.
- Experience supporting fast-paced product engineering and innovation teams.
- Exposure to MLOps, AI platform development, and large-scale distributed data processing.
- Strong communication, stakeholder management, and cross-functional collaboration skills.
- Demonstrated ability to learn, explore, and adopt emerging technologies aligned with organizational objectives.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Honeywell
Honeywell is a multinational conglomerate corporation that invents and manufactures technologies addressing tough challenges linked to global macrotrends such as safety, security, and energy. It operates major business divisions focusing on building automation, industrial automation, and enterprise performance solutions. Through continuous innovation, the company helps drive smarter, safer, and more sustainable operations worldwide.
- Industry
- Conglomerate
- Company size
- 101000+ employees
- Founded
- 1906
- Location
- Charlotte, North Carolina, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Mike Stepniak
Senior Vice President and Chief Financial Officer
Suresh Venkatarayalu
Senior Vice President and Chief Technology Officer
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