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Data Scientist II at Honeywell

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Statistical Modeling, Data Analysis, Business Solutions, Cross-Functional Collaboration, Process Optimization, Cost Reduction, Growth Opportunities, Actionable Insights, Advanced Analytics, Data-Driven Innovation, Automation, Aerospace Technologies, Energy Transition, Industrial Automation

Industry

electrical;Appliances;and Electronics Manufacturing

Description

As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced data analytics models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Your role will involve leveraging machine learning, statistical modeling, and data analysis techniques to provide actionable insights that drive business value. In this role, you will impact the business by optimizing processes, reducing costs, and identifying growth opportunities through data-driven insights. Your contributions will help position Honeywell at the forefront of data-driven innovation, leveraging cutting-edge technologies and advanced analytics to propel the business forward. 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

Develop and implement advanced data analytics models and algorithms to solve complex business problems. Collaborate with cross-functional teams to translate business needs into data-driven solutions.