Applied data science in chemical/process engineering
Exploratory data analysis with scarce data
Mechanistic/black box/hybrid modelling
You will play a key role in developing cutting-edge digital and data-driven solutions from initial concept to commercialization
Job Summary
You will play a key role in developing cutting-edge digital and data-driven solutions from initial concept to commercialization.
Your main tasks include leading and implementing digital & data-driven capabilities for product & process development to solve high impact business problems.
Sulzer offers 25 days holidays, a defined contribution pension scheme, and an Employee Assistance Program/health care.
Matching Summary
You will play a key role in developing cutting-edge digital and data-driven solutions from initial concept to commercialization.
Skills & Requirements
Must-have
applied data science in chemical/process engineering
exploratory data analysis with scarce data
mechanistic/black box/hybrid modelling
highly proficient programming skills in Python
data-driven mindset across organization
Nice-to-have
collaboration with multi-functional project teams
communication of actionable insights to diverse audience
ambassador for data-driven mindset
hands-on experimental experience
Key Requirements
Doctoral degree in Chemical/Process Engineering
Proficiency in applied data science
Experience in exploratory data analysis
Experience in mechanistic/black box/hybrid modelling
Highly proficient programming skills in Python
Experience in end-user software development & methodologies