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Sr Advanced Data Scientist at Honeywell

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Advanced Analytics, Artificial Intelligence, Machine Learning, Generative AI, LLMs, Agentic Systems, Predictive Modeling, Microsoft Azure, AWS, Google Cloud Platform, Azure OpenAI, Azure AI, Foundry, Google Vertex AI, AWS Bedrock

Industry

electrical;Appliances;and Electronics Manufacturing

Description

The Sr Advanced Data Scientist – AI & Advanced Analytics is responsible for designing, building, and deploying Honeywell Aerospace–specific AI solutions that drive measurable improvements in productivity, speed, and business outcomes across enterprise functions and business verticals. This role operates at the intersection of advanced analytics, classical machine learning, and Generative AI (LLMs and agentic systems). The individual will work closely with business stakeholders, IT, and engineering teams to translate complex business problems into scalable AI-driven solutions, owning the full lifecycle from ideation to production deployment and support. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Responsibilities

The Senior Advanced Data Scientist is responsible for designing, building, and deploying specific AI solutions for Honeywell Aerospace to improve productivity, speed, and business outcomes across enterprise functions. This role involves operating at the intersection of advanced analytics, classical machine learning, and Generative AI, owning the full lifecycle from ideation to production deployment.