Lead Chemical Engr

Responsibilities

• Be agile, innovative, and customer focused.
• Lead Global Solutions Center, day to day operations with strong operation MOS.
• This role will be key in balancing the resource and priority items based on SIOP meetings.
• This position is the key to ensuring seamless operation and accountability of 24x7 decision making.
• Ensuring high resource utilization/billability of the center.
• Accountable to minimize manual work by Automation/Standardization.
• Lead the automation initiative and technical decision making for the center based on business needs/priorities.
• Monitoring different UOP technologies process 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 upkeep of all solutions by troubleshooting the PM/PTA/Exception Based Alerts/Benchmarking /Future Solutions on time to ensure high on-screen availability of the running solutions
• Expertise in doing Exploratory Data Analysis on Time series data using ProSight.
• Hands-on skills in developing insights end-to-end, including EDA, data processing, hyper-parameter tuning, baseline modeling, and model deployment.
• Apply data mining to handle unstructured data to derive technical insights.
• Perform descriptive and inferential statistics to summarize datasets.
• Prior knowledge of Time Series Forecasting in Prosight/Data Science.
• Knowledge of UOP Technologies.
• Derive problem statement from ambiguous data, create a hypothesis, use analytics and tools to test hypothesis and form conclusions
• Excellent technical expertise in all the areas of Descriptive, Predictive, and Prescriptive Analytics, including Optimization Analytics, Simulation & Advanced Machine Learning Algorithms.
• Experience in cleaning, process, manipulate, and analyze data.
• Ability to build scalable, user-centric applications -Building Models Data Science
• 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 product, system, and solution through designing and developing pipelines.
• Establishing additional work processes & documentation for the GSC.
• Work with team to remove gaps in current solutions/tools to guide future development efforts with ProSight (UOP Internal platform) & content of solutions.
• Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and work on operation dashboard for the GSC's sustainability & efficient operation.
• Align with the Intention of the LST Business and ensure collective commitment for the GSC's Key results.
• Part of 24x7 Operation of GSCCC Digital Insight
• Working in 24x7 Shift is an integral part of this role. Work with GSCCC Center leader closely to make GSC as “Center of Excellence”
  

Qualifications

Basic Candidate Qualification:

• Bachelor's degree in chemical engineering
• Min of 12 years of experience in technical service or process operation/engineering/monitoring role within the refining and petrochemical industry.
  

Additional Candidate Qualifications

• Passion for visualizing hidden relationships in technical data with ProSight
• Must demonstrate leadership to respond to customers seeking an urgent resolution to sometimes ambiguous technical needs quickly gain the Customer's trust and show accountability for problem resolution.
• Excellent verbal, written, interpersonal communication & effective presentation skills
• English language (oral and written)
• Ability to multi-task
• Be flexible to come in shift as a replacement in short notice
• Exposure to techniques like forecasting, predictive methods, classification techniques, and segmentation is highly desirable.
• Effective project management, 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 looking at the next big thing in technology.
• Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements
• Knowledge of DataScience Open Source is added plus.
• Proficiency in computer applications with emphasis on Data Analytics & Data Science is desirable
• Creative approach to process development and customer-centric behavior
• Comprehensive analytical, troubleshooting & problems solving skills.
• Ability to work independently and in a team environment, focusing strongly on delivering SMART data results and identifying alternative solutions when challenges arise from unstructured data.
• Ability to define the problem with limited information
• This role may require global customer-facing and internal/external travel, up to 10% of the time.
  

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