Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.
Translate business requirements into technical specifications for data science initiatives.
Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business.
Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.
Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.
Design agentic AI architectures with prompt engineering and rule‐based automation to identify root causes, recommend actions, and continuously refine business‐aligned solutions.
Develop and implement advanced AI models and algorithms to analyze complex datasets.
Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.
Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.
Qualifications
YOU MUST HAVE
6+ years of experience in data science, machine learning, or a related field.
Proven experience in developing and deploying AI models and algorithms.
Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking.
Strong programming skills in languages such as Python or R.
Strong project management and organizational abilities
Strong written and spoken communication skills in English.
WE VALUE
Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies.
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About Honeywell
Manufacturing10,001+Founded 1906
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.