Senior Data Scientist — Materials & Manufacturing Innovation

MonoSol

Chicago (IL)

Hybrid

USD 130.000 - 155.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Medical, dental, vision insurance
Paid time off 15 days
401k
Employee assistance program

Zusammenfassung

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.

Qualifikationen

  • 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

Aufgaben

  • 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

Kenntnisse

Python
Statistics
Machine learning
Experiment design
Uncertainty quantification
Communication

Ausbildung

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

Jobbeschreibung

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.

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