Optimyze1

About the Company: Join this team to partner with enterprise clients in deploying data-driven software that transforms technical and operational environments. This cross-functional role blends engineering expertise with customer engagement, data analysis, and technical problem-solving to drive measurable business impact. If you are excited about being at the forefront of technology and using AI to solve real problems, read on.

 

About the Role: You will collaborate directly with customer stakeholders to diagnose operational challenges, analyze production data, and build models that unlock efficiency. The ideal candidate thrives in cross-functional teams, translates complex data into actionable insights, and bridges the gap between technical capabilities and business value.

 

Responsibilities:

 

* Customer Success: Lead technical onboarding and implementation, building trusted relationships with stakeholders to drive workflow optimization and operational improvements.
* Data & Modeling: Analyze operational datasets to uncover trends, developing Python-based models and simulations that inform strategic decisions.
* Experience in building mechanistic models (first principles) and statistical models.
* Collaboration: Partner with product and engineering teams to refine platform functionality and communicate technical findings to diverse audiences.
* Problem Solving: Support troubleshooting and continuous improvement initiatives in complex industrial settings, ensuring successful project delivery from discovery to deployment.

 

Qualifications:

 

* Experience: 5–7 years in process engineering, manufacturing, or operations, within the specialty chemicals sector _(e.g., polymers, adhesives, coatings, surfactants, performance polymers, monomers, & adhesives, semiconductor and advanced materials)_.
* Experience across several speciality chemical areas, with exposure to a variety of unit operations.
* Experience in mechanistic modelling or digital twin simulation.
* Experience building models from scratch
* Previous experience working as a Process Development Engineer, R&D Engineer or Data Scientist.

 

Role requirements:

 

* Education: Degree in Chemical Engineering or a related technical field.
* Technical Skills: Proficiency in data analysis, modeling, and simulation tools, with strong fluency in Python.
* Experience building models from scratch, not only using black-box or software tools.
* Experience using Aspen Plus, COMSOL, ANSYS, MATLAB/Simulink for building models.
* Industrial Knowledge: Familiarity with enterprise historians (e.g., OSIsoft PI, DeltaV, Wonderware, GE Proficy) is highly valued.
* Soft Skills: Excellent communication and project management abilities, with a proven track record of engaging directly with customers.
* Language: Fluency in French is a bonus.

Python

Operations

Data analytics

Software Development

Data

Project management

Manufacturing

MATLAB

Analysis

Support

Communications

Comsol multiphysics

ANSYS Designer

Simulink

Modelling

Simulation

SAP PI

Wonderware

Proficy

Customer Care

Workflow Optimization

Process Modelling Engineer AI (Specialty Chemicals)