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Principal Data Scientist at Honeywell

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Reliability Engineering, Time-series Forecasting, Reinforcement Learning, Graph Neural Networks, Python, R, Scala, Spark, Hadoop, Azure ML, AWS SageMaker, GCP Vertex AI, Risk-based Inspection, Probabilistic Reliability Modeling, HAZOP Analytics

Industry

Automation Machinery Manufacturing

Description

Role Summary 1. The Principal Data Scientist will lead Data Science for Asset Reliability and Cognition portfolio to innovate and mature prognosis models for industrial equipment’s, models to optimize maintenance strategies, and reduce operational risk. 2. This role requires a blend of machine learning expertise, reliability engineering knowledge, and oil & gas domain experience to drive measurable impact across critical assets. 3. Also required is a customer-oriented focus by acknowledging their needs and offering pragmatic customer solutions that align with their data capabilities. 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

Lead data science for the Asset Reliability and Cognition portfolio to innovate prognosis models and optimize maintenance strategies. Drive measurable impact by reducing operational risk and delivering cost savings through predictive maintenance for industrial equipment.