About
As a
Sr Data Scientist and AI Developer
here at Honeywell, you will play a crucial role in designing and implementing advanced data solutions for AI solutions that drive business insights, enhance decision-making processes and empower AI solutions. Your expertise will help in critical AI development activities across all AI modalities (classic, Gen and agentic) and data types (structured and unstructured). You will report directly to our AI Director and you'll work out of our Phoenix, AZ location on a Hybrid work schedule. Note: New Hires will work onsite M-F for the first 90 days. In this role, you will impact the organization by leveraging your technical skills to develop innovative software solutions that support strategic initiatives and improve operational efficiency. Key Responsibilities
Design, develop, and deploy advanced machine learning models, LLM-based solutions, and agentic AI systems to solve complex business problems across diverse domains. Conduct exploratory data analysis, statistical assessments, and feature engineering on structured, semi-structured, and unstructured datasets. Build and evaluate GenAI workflows including prompt engineering, fine-tuning, RAG pipelines, embedding analysis, and context optimization. Develop and validate agentic AI behaviors, including reasoning chains, tool-use strategies, action planning, memory utilization, and safety constraints. Partner with Data Engineers, AI Developers, Platform Engineers, and MLOps to bring models and agents into production using Databricks, Dataiku, MLflow, and AWS-native deployment patterns. Develop robust evaluation frameworks for ML models, LLMs, and agentic systemscovering accuracy, robustness, hallucination resistance, safety, bias, reliability, and task success rate. Implement experiments, compare algorithms, perform ablation studies, and use statistical methods to quantify improvements for both classic ML and LLM-based systems. Translate complex AI insights (predictions, feature impacts, agent decisions, retrieval context) into clear business recommendations and decision frameworks. Stay current with emerging trends in AIincluding new model families, multi-modal approaches, vector search innovations, and agentic frameworksand assess applicability within the enterprise. Contribute to reusable AI assets such as feature stores, embedding stores, evaluation datasets, agent toolkits, and documentation playbooks. Qualifications
Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics. 47 years of experience building, evaluating, and deploying machine learning models in production environments. Strong proficiency in Python and key ML/AI libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow, HuggingFace Transformers). Applied experience developing LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), embeddings, and evaluation. Experience working with Databricks (Spark, Delta Lake, Unity Catalog, MLflow) for data preparation, training, and experiment tracking. Experience with Dataiku for workflow orchestration, data pipelines, and model deployment/use in AI applications. Hands-on experience with AWS data and AI services such as S3, Lambda, Step Functions, Glue, Bedrock, or SageMaker. Strong statistical background with experience in hypothesis testing, regression, clustering, classification, and optimization techniques. Ability to communicate complex findings clearly to technical and non-technical stakeholders. Proven ability to collaborate in cross-functional agile teams, partnering with engineering, MLOps, and product owners. Benefits Of Working For Honeywell
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting Date: February 18, 2026 Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status. We are not currently sponsoring applicants for work visas for this job. Applicants must be currently authorized to work in the United States on a full-time basis.
Languages
- English
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