Senior Data Scientist — Materials & Manufacturing Innovation

MonoSol; Chicago (IL); Hybrid; USD 130,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Paid time off 15 days

401k

Employee assistance program

Job summary

MonoSol, LLC in Chicago, IL is seeking an experienced Data Scientist with a materials/chemistry background to transform data-driven decisions across R&D and manufacturing. You'll build advanced models, develop digital twins, and optimize material and process performance, delivering actionable insights and scalable tooling.

You will lead end-to-end modeling initiatives, work across lab and production datasets, and mentor others while shaping how data informs strategic decisions.

Qualifications

• 5+ years applying data science to materials, chemistry, or manufacturing
• Proven impact from modeling and analysis, from framing to deployment
• Experience with multi-scale data from lab to production
• Experience with manufacturing or production systems

Responsibilities

• Partner with scientists and engineers to frame high-impact problems
• Design and evolve advanced statistical and ML models for R&D and manufacturing
• Develop digital twins and hybrid models combining physics and data
• Transform raw data from lab to production into analysis-ready assets
• Translate analyses into visualizations and actionable recommendations

Skills

Python

Statistics

Machine learning

Experiment design

Uncertainty quantification

Communication

Education

Bachelor's degree in Materials Science, Chemistry, Chemical Engineering, Polymer Science, Data Science, Statistics, Computer Science

Master's or PhD strongly preferred

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

LightGBM

SHAP

R

JMP

SQL

AWS

Azure

Power BI

Tableau

Streamlit

Plotly Dash

Git

Job description

MonoSol, LLC in Chicago, IL is seeking an experienced Data Scientist with a materials/chemistry background to transform data-driven decisions across R&D and manufacturing. You'll build advanced models, develop digital twins, and optimize material and process performance, delivering actionable insights and scalable tooling.

You will lead end-to-end modeling initiatives, work across lab and production datasets, and mentor others while shaping how data informs strategic decisions.