Lead R&D Engineer – Scientist

Role Overview

• Lead technology development programs to deliver digital data analytics and process optimization tools for UOP’s portfolio of process technologies, following HON UOP NPI work process
• Effectively coordinate cross-functional technology development teams, including specialists from R&D, Technical Service, and Business.
• Create technical strategy with Business to establish and prioritize technical definition and content of the solutions to maximize customer value.
• Identify new approaches in data science, capabilities, and tools for use by UOP internal Specialists and new product development
• Recognize and implement improved work processes, tools, and infrastructure for digital solution development.
• Mentoring and coaching engineers in supporting development of data analytics
• Interaction with customers to identify and understand their needs, and to present your proposed/developed solutions

Requirements

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering (Chemical preferred) or mathematics
• 5+ years of experience in the refining, petrochemicals, and or/gas processing applications
• 2+ years of Python programming experience or demonstrated coding aptitude
• PhD or Advanced Degree.
• Prior experience in designing, operating, and/or servicing UOP licensed process units.
• Experience with multivariate statistics; experimental design; equation-based modeling and/or data analytics including cleansing, manipulating, filtering and selection; parameter estimation, and numerical methods
• Skills in machine learning, data science tools, optimization techniques and algorithms
• Python programming experience including pandas & NumPy packages or equivalent software development including object-oriented programming methods and cloud-based services
• Strong interpersonal and project management skills and the capability to lead projects effectively across multiple functional departments.
• Excellent written and verbal communication skills to ensure solution definition and clear project requirements.
• Strong business acumen
• Strong interest in R&D work, self-starting and demonstrated leadership skills.
• Process Modeling experience with commercial software (UniSim, Hysys, Aspen+, Pro/II, etc.)
• Prior kinetic modeling / yield estimating experience for UOP process units
• Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization

Tech Stack

• Cloud
• Numpy
• Pandas
• Python

Benefits

• employer subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off (for vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays