Sr. Software Engineer

LyondellBasell

Basic Function

 

LyondellBasell’s Digital Advanced Analytics organization provides value focused and scalable digital, data-driven, and advanced analytics solutions across LyondellBasell’s enterprise. Through working closely with other Software Engineers, Data Engineers, Data Scientists, business domain experts, and IT, the Sr. Software Engineer will have the opportunity to provide significant tangible business value through developing and deploying scalable Software Engineering capabilities on high value problems.  This requires a team of innovative, energetic, productive, software development minded, and humble individuals who demonstrate LyondellBasell’s core values in the application of software engineering code and workflows on each project.  At LyondellBasell, we work a flexible hybrid schedule, which includes remote work-from-home days and in-person team collaboration days.
 

Roles & Responsibilities

 

• Place emphasis on delivering value through software engineering applications and solutions, through excellent problem solving, development, and implementation of scalable solutions
• Work collaboratively with Software Engineers, Data Engineers, Data Scientists and business SMEs (Process Engineers, Automation Engineers, Reliability Engineers, other business domain experts) in providing software solutions and workflows which are critical to delivering data driven solutions on high impact problems
• Work collaboratively with the rest of the Digital team, IT, and Cybersecurity to ensure proper architecture, security, exception handling, testing, and code development standards are adhered to
• Architect and develop software solutions necessary for algorithm and ML solution deployment and maintenance for chemical manufacturing domains including predictive maintenance, reliability, preventing downtime, industrial automation and optimization, demand forecasting, and improving health and safety
• Leverage deep software engineering, architecture, advanced technologies, software development expertise, and code development standards to enable the delivery of advanced analytics projects
• Architect, define, and develop technical platforms, frameworks, and applications, to provide data, business intelligence, and information
• Network internally and externally to build relationships that foster technology transfer and collaboration
• Assist with the promotion of digital transformation, training and development of other Software Engineers, Data Engineers, Data Analysts, and other peers throughout the organization
   

Min. Qualifications

 

• BS (MS strongly preferred) in Computer Science, Software Engineering, Computer Engineering, or related technical field, with additional experience required in the place of advanced education
• 4+ years professional hands on software development experience with a PhD, or 6+ years’ experience with an MS degree, or 8+ years’ experience with a BS degree
• Demonstrated ability to drive a project, and work independently and in a team
• High level of enthusiasm and a love of software development, data, and data engineering
• Strong quantitative and problem-solving skills, including strong data, technical, and mathematical knowledge and skills
• Strong Python OOP programming skills
• Experience with Linux, Unix, Git, microservices architecture, DevOps, and software development testing frameworks
• Experience in large scale computing, cluster computing, and/or cloud computing (Azure preferably)
• Experience in Real Time historian data, SQL, NoSQL, and/or NewSQL database technologies
• Experience working with large structured and/or unstructured data and technologies
• Experience with modern Software Engineering, Data Engineering, ML and Data Science libraries such as Pandas, NumPy, Scikit-Learn, NLTK, Seaborn, Dplyr
• Experience in providing software engineering solutions in various Data Science and/or manufacturing domains, such as Predictive Maintenance, Forecasting, Real Time streaming analytics, Image Analysis leveraging deep learning methodologies, and optimization
   

Preferred Qualifications

 

• MS strongly preferred, with a PhD preferred
• 6+ years professional hands on software development experience with a PhD, or 8+ years’ experience with an MS degree, or 10+ years’ experience with a BS degree
• Strong programming and scripting skills in other languages, such as C#, C++, Java, JavaScript, Julia, Scala, Go, and/or SQL
• Experience with VS Code
• Experienced working with Data Scientists on architecting and delivering scalable, end to end advanced analytics solutions
• General knowledge of ML techniques & algorithms, such as ANNs, SVM, GBM, Decision Forests, Clusterin