Sr Advanced Data Scientist
About the Role
As a Sr Advanced Data Scientist here at Honeywell, you will leverage advanced analytics and machine learning to drive business insights and innovation. You will develop predictive models and provide actionable recommendations.
Key Skills for This Role
Full Job Posting
Required Qualifications
- 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.
- Artificial Intelligence & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Machine Learning
- Deep Learning
- Statistical Modeling
- Predictive Analytics
- Knowledge Graphs
- Causal AI
- Model Deployment and Monitoring
- Programming
- Advanced Python
- PySpark
- Data Engineering
- Data Processing and Transformation
- Data Pipeline Development
- Data Preparation for ML Workloads
- Python Packaging and Deployment
- Software Engineering Practices
- Automated Unit Testing (PyTest)
- CI/CD and DevOps Practices
- Git / Bitbucket
- GitHub Copilot
- Scalable and Performant Application Design
Technical Skills
- Artificial Intelligence & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Machine Learning
- Deep Learning
- Statistical Modeling
- Predictive Analytics
- Knowledge Graphs
- Causal AI
- Model Deployment and Monitoring
- Programming
- Advanced Python
- PySpark
- Data Engineering
- Data Processing and Transformation
- Data Pipeline Development
- Data Preparation for ML Workloads
- Python Packaging and Deployment
- Software Engineering Practices
- 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.
Key Responsibilities
- 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.
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.
About Honeywell
Honeywell is a global industrial technology company that provides products, software and solutions for building, process and industrial automation. Its technologies help customers improve safety, productivity, energy efficiency and operational reliability.
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