Chemical Engr II

Job Description

Don't miss this opportunity to be part of the world-class 24*7 Global Solutions Center (GSC) at Gurgaon, India- to transform the Honeywell PT Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers’ live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career.

You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSC's key result to ensure we generate relevant insights from the extracted data for improved outcomes.

Responsibilities

• Be agile, innovative, and customer focused.
• Review operations with customers and assist with defining and quantifying customer benefits
• Monitoring different UOP technologies processes and identifying areas for improvement/optimization and assets requiring enhanced focus.
• Provide readily available technical solutions/ work to get the solution to our customers.
• Initial triage of technical issues with the escalation process to TS.
• Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues.
• Ensure monitoring of all solutions by troubleshooting the PM/PTA/ Benchmarking/EBA`s /Data Science /Future Solutions on time to ensure high on-screen availability of the running solutions
• Apply data mining to handle unstructured data to derive technical insights.
• Perform descriptive and inferential statistics to summarize datasets.
• Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions
• Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification, and variable creation, applying automated predictive analytics.
• The focus is to support products, systems, and solutions through designing and developing pipelines.
• Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSC's sustainability & efficient operation.
• Align with the Intention of the LST Business and ensure collective commitment to the GSC's Key results.
• Part of 24* 7 Operation of GSCCC Digital Insight
• Working in a 24*7 Shift is an integral part of this role. Work with the GSC Operation leader closely to make GSC a Center of Excellence
  
  

Qualifications

• BS degree in Chemical Engineering.
• Passion for visualizing hidden relationships in technical data with ProSight
• Excellent verbal, written, interpersonal communication & effective presentation skills
• English language (oral and written)
• Ability to multi-task
• Be flexible to come in a shift as a replacement on short notice
• Effective presentation, and communication skills
• Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always look at the next big thing in technology.
• Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements
  
  

About Us

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

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