Sr Data Scientist & AI Developer

As a Sr Data Scientist and AI Developerhere 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 youll 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 advancedmachine learning modelsLLM-based solutions andagentic AI systemsto solve complex business problems across diverse domains.
• Conduct exploratory data analysis statistical assessments and feature engineering on structured semistructured and unstructured datasets.
• Build and evaluateGenAI workflowsincluding prompt engineering finetuning RAG pipelines embedding analysis and context optimization.
• Develop and validateagentic AI behaviors including reasoning chains tooluse 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 multimodal 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.

YOU MUST HAVE

• Bachelors 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 scikitlearn PyTorch or TensorFlow HuggingFace Transformers).
• Applied experience developingLLM-based solutions including prompt engineering retrieval-augmented generation (RAG) embeddings and evaluation.
• Experience working withDatabricks(Spark Delta Lake Unity Catalog MLflow) for data preparation training and experiment tracking.
• Experience withDataikufor 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.

WE VALUE

• Bachelors or Masters degree in Computer Science Mathematics Statistics Engineering or a related quantitative discipline.
• Experience withagentic AI systems including:
  • Tool/function calling
  • Multi-step reasoning evaluation
  • Memory and retrieval strategies
  • Human-in-the-loop review patterns
  • Safety and guardrail testing
• Experience evaluating LLMs for accuracy hallucination chainofthought content safety and task reliability.
• Familiarity with vector databases (Databricks Vector Search OpenSearch Pinecone Milvus) and semantic search techniques.
• Experience analyzing and preparing multimodal datasets (text images audio PDFs) for AI solutions.
• Knowledge of ML governance responsible AI principles bias detection model explainability and compliance considerations.
• Strong storytelling data visualization and dashboarding skills (Tableau or equivalent).
• Curiosity experimentation mindset and the drive to push forward the boundaries of applied AI across classic GenAI and agentic approaches.

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. For more information visit: click here

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

US PERSON REQUIREMENT

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.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency productivity sustainability and safety in high growth businesses in broad-based attractive industrial end markets. Our products and solutions enable a safer more comfortable and more productive world enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial defense and space aircraft in the world. We build aircraft engines cockpit and cabin electronics wireless connectivity systems mechanical components and more and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel more fuel-efficient and better-maintained aircraft more direct and on-time flight arrivals safer skies and airports and more comfortable flights along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21000 employees globally. To learn more please visit click here.

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