Honeywell’s global businesses have a strong legacy in India, built over the last eight decades. It delivers industry-specific solutions like aerospace products and services, control technologies for buildings and performance materials. Currently, it employs close to 13,000 people across different locations, including Bengaluru, Chennai, Gurugram, Dehradun, Hyderabad, Madurai, and Pune.
At the centre of everything that Honeywell does, lies its data science team, which adds value by transforming products and services. They work on a wide array of key functional areas, including product development, advanced image, speech and audio recognition, text and video analytics, regression analytics and face detection. Its final objective is to build intelligence into devices used at homes and offices using machine learning.
Sumedha Pal, Country HR Leader, Honeywell India, said: “Our data science team designs and tunes machine learning models to evaluate their performance. We sort through a whole range of data parameters to get these models right, and then visualise patterns in data generated by connected devices to reach new insights in bringing comfort to homeowners.”
The company told Analytics India Magazine that it is now looking to hire more data science candidates across various levels. Click here to apply.
Honeywell follows a hybrid interview process wherein they leverage online assessments, conduct hackathons, run behavioural assessments which are cognitive in nature, and use BOTs for scheduling to create process efficiencies and thereby facilitate end-to-end coordination.
Pal said, apart from an avid interest in the field and a clear work ethic, they look for agile candidates, who can navigate through complexity, and have a creative and innovative bent of mind. From a skill perspective, she said they look at candidates with domain expertise and analytics background, with technical skills like Python, machine learning or deep learning being a major advantage.
As a data-driven company, Honeywell emphasises the candidates’ ability to adopt a granular approach to every use case and develop solutions that will impact the business. “In essence, candidates should be able to conceptualise building a product from the algorithms ground up, while engaging in continuous experimentation in an ecosystem that carves the best out of the individual as well as the organisation at large,” said Pal, stating the KRAs and KPAs of the company.
Dos and Don’ts
Pal said that the most vital deterrent to candidates’ chances is a unidirectional focus on theory and inadequacy in relating concepts to their real-time applications. In addition, she said that candidates often find themselves pursuing goals they do not believe in, which will only lead to failure.
“Honeywell has been changing lives and contributing to making the world a better place through offerings that utilise data science concepts and principles. Candidates looking to contribute to this transformation process through data science must work on problems that truly matter,” said Pal.
Further, she said, the candidate must be passionate about solving these problems. “As our data practitioners say, ‘Spend time with data and get your hands dirty. You’ll invariably learn something new. You must be curious and a constant learner to make discoveries in the world of Big Data,’” said Pal.
Honeywell has been globally recognised for its performance culture that balances accountability and results with a high value on its people. “We have an unrelenting focus on integrity and compliance, while inclusion and diversity remain the foundation of our culture,” said Pal.
What to expect from Honeywell? Candidates can look forward to being a part of a rich legacy of an innovative, diverse and inclusive culture while being involved in leadership avenues. In addition, the company believes that it nurtures talent and enables organisation-wide cross-collaboration, which offers an opportunity to learn and grow within multiple businesses of Honeywell.
So, what are you waiting for? Click here to apply.