R&D Engineer Scientist II - Data Scientist

The future is what we make it.

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 ~~~.

Are you ready to help us make the future?

The R&D Engineer Scientist II - Data Scientist will work within a team of scientists that use a variety of analytical techniques in the Materials Characterization group to support characterization of materials and process streams from R&D labs and pilot plants. This position will support the development and implementation of digital solutions and data analytics to enhance the efficiency and effectiveness of analytical characterization.

BENEFITS

Benefits provided may differ by role and location. Learn more at ~~~.

-Unlimited Vacation Plan with No Preset Maximums

-Flexible Work Schedule

-Medical/Rx Health Savings Account (HSA)

-Dental/Vision

-Short/Long-Term Disability

-Employee Assistance Program (EAP)

-401(k) Plan

-Education Assistance

KEY RESPONSIBILITIES

-Utilize data science methodologies to analyze experimental data, interpret findings, discern trends, and derive actionable insights.

-Develop programmatic data processing solutions leveraging analytical methods and equipment output, encompassing statistical analysis, visualization techniques, and efficient data transfer mechanisms to optimize data delivery.

-Enhance analytical productivity through the automation of repetitive manual tasks.

-Apply machine learning algorithms for tasks such as classification, quantification, and property prediction.

-Collaborate closely with internal and cross-functional teams to grasp requirements and provide actionable insights for R&D projects.

YOU MUST HAVE

-Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics

WE VALUE

-Bachelor of Science in Chemistry, Chemical Engineering, Data Science, Computer Science or related field

-3+ years' experience with analytical characterization techniques, laboratory work processes and data analysis

-Proficiency in scientific programming.

-Familiarity with programming languages including C# (Windows Forms), Python, SQL (MS SQL Server), and Excel VBA.

-Experience with software tools such as Visual Studio, Tensorflow/Keras, Jupyter Notebooks, Pandas, NumPy, SciPy, MatPlotLib, LabView, JMP, VBA, MATLAB, Origin, Tableau, and Power BI.

-Proficiency in database management systems like SQL Server, Oracle, and Access for data storage, querying, and manipulation.

-Familiarity with laboratory information systems and structured data principles, including the design of relational database tables.

-Strong problem-solving and critical thinking skills to troubleshoot and resolve technical issues.

-Ability to effectively manage multiple priorities.

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.