Honeywell
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Delhi · On-site · 6-9 Yrs · Sep 30
Computer Hardware Development · 10000+ Employees · Charlotte, US
We have been innovating for more than 100 years – and now we’re creating what’s next.
What employees say
+ Good Environment to learn new things
− Nothing as such to mention
More reviews on the company profile.
Interview experience · Sr Technical Analyst
The interview process was clear with the steps and who are going to connect with us. It was Online but I had a great experience with the interviewers. The process was smooth and technical round was very good.
Difficult difficulty · Bengaluru · 999 reports
More interview insightsJob description
Overview
KEY RESPONSIBILITIES
Responsibilities
- 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
- 6+ years of experience in data science, machine learning, or a related field.
- Proven experience in developing and deploying AI models and algorithms.
- Strong programming skills in languages such as Python or R.
- Strong project management and organizational abilities
- Strong written and spoken communication skills in English.
- Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
- Strong foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling.
- Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows.
- Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast-paced, cross-functional teams
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Sr Advanced Data Scientist at Honeywell?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Honeywell may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr Advanced Data Scientist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr Advanced Data Scientist remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Sr Advanced Data Scientist role at Honeywell?
- This is a senior Sr Advanced Data Scientist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.