Degree in Chemical Engineering
Algorithms, Data Analytics, Data cleaning / Data cleansing, Data Manipulation, Data science techniques, Design, Machine learning techniques, NumPy, Optimization, Pandas, Python Programming, Statistics
RESPONSIBILITIES:
ADDITIONAL INFORMATION:
YOU MUST HAVE:
Qualified applicants must have a Ph.D or foreign equivalent in Chemical Engineering, or a related field, and two (2) years of experience with chemical engineering fundamentals. Alternatively, the employer will accept a bachelor’s degree in the stated field and six (6) years of the experience listed above. Full term of experience must include: fluid flow, heat transfer, mass transfer, kinetics and reaction engineering and experience in Python programming or demonstrated coding aptitude. Full term of experience must include one of the following categories: Multivariate statistics, experimental design, equation-based modeling and/or data analytics including cleansing, manipulating, filtering and selection, parameter estimation, and numerical methods; OR industrial experience with chemical engineering process simulation software or field/service experience in the refining or petrochemicals industries; OR experience in machine learning, data science tools, optimization techniques and algorithms; OR Python programming experience including pandas & NumPy packages or equivalent software development including object-oriented programming methods and cloud-based services. Telecommuting permitted up to two (2) times per week.
Additional Information
Honeywell International Inc. is an American publicly traded, multinational conglomerate headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building technologies, performance materials and technologies, and safety and productivity solutions.
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