The future is what we make it.
An excellent career opportunity is currently available for a Sr. RD Scientific Data Engineer within Honeywell UOP’s R&D Data Transformation and Testing Group located in Des Plaines, IL. This position will involve the development, implementation, and support of data systems along with multivariate analysis applications leading AI efforts across R&D.
Are you ready to help us make the future?
When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.
UOP, a Honeywell company headquartered in Des Plaines, Illinois, is a leading international licensor of processing technology and supplier of engineering services, catalysts and adsorbents, equipment, specialty materials and digital solutions for the global refining, gas processing and petrochemical industries. With more than a century of leadership in hydrocarbon processing technologies, UOP has led six revolutions in technology that transformed our industry. For more information visit www.uop.com.
BENEFITS:
Benefits provided may differ by role and location. Learn more at benefits.honeywell.com.
•\tUnlimited Vacation Plan with No Preset Maximums
•\tMedical/Rx Health Savings Account
•\tDental/Vision
•\tShort/Long-Term Disability
•\tEmployee Assistance Program (EAP)
•\t401(k) Plan
•\tEducation Assistance
The annual base salary range for this position is $108,000 to $135,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate’s work experience, education and training, key skills, as well as market and business considerations
KEY RESPONSIBILITIES:
•\tSupport existing and enhance data analytics capabilities to acquire, store, retrieve, and analyze experimental data
•\tCollaborate closely with internal and cross-functional teams to identify requirements necessary for the next generation of R&D data analytics
•\tRecommend and maintain infrastructure required to support data generated throughout groups within R&D
•\tDevelop and support applications that enhance data visualization, trend identification, and multivariate analysis that will provide actionable insights for R&D projects
•\tExpand AI efforts to predict the next generation of research testing and product development
•\tBachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics
•\tKnowledge of chemistry and experience working around chemicals
•\tProven experience generating, acquiring, storing, and processing chemical data
•\tProficiency in database programming and support
•\tDeveloped applications for manipulating and interpreting data
WE VALUE:
•\tBachelor of Science in Chemistry, Chemical Engineering, Computer Science or related field
•\t3+ years’ experience working in a lab or industrial chemical environment, especially running lab plants
•\tExperience with software tools such as JMP, VBA, MATLAB, Origin, Tableau, and Power BI
•\tFamiliarity with programming languages including C# (Windows Forms), Python, SQL (MS SQL Server), and Excel VBA
•\tProficiency in database management systems like SQL Server, Oracle, and Access for data storage, querying, and manipulation
•\tFamiliarity with laboratory information systems and structured data principles, including the design of relational database tables
•\tExperience programming in a modern managed repository
•\tFamiliarity with process instrumentation including sensors
•\tChemometric, ML, or AI application development
•\tStrong problem-solving and critical thinking skills to troubleshoot and resolve technical issues.
•\tProject management experienceAdditional InformationJOB ID: req483470Category: EngineeringLocation: 50 E Algonquin Rd,Des Plaines,Illinois,60017-5016,United StatesExemptGlobal (ALL)
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.