Senior Data Scientist - Electronics & Materials Analytics

Qnity; Wilmington (DE); On-site; USD 110,000 - 160,000; Full time

Job summary

Qnity is seeking a Senior Data Scientist at its Wilmington, DE headquarters. The role focuses on applying statistics and data science to support R&D, manufacturing, and business activities.

You will develop models, perform data cleaning, and communicate insights to clients. Ideal candidates have extensive experience with regression, ML techniques, cross-validation, and SQL, and can prepare data for analysis, create descriptive plots, and generate reports that drive value for the company and its

Qualifications

• PhD or MA with significant industrial experience is required.
• Fluent coding skills in R or Python for data preparation, modeling, and reporting.
• Experience with regression, machine learning, cross-validation, and hyperparameter tuning.
• Strong SQL query ability and experience applying statistics to business problems.

Responsibilities

• Collaborate with clients on R&D, manufacturing, and business activities.
• Contribute to data science projects across development, operations, and sales forecasting.
• Develop and validate models and present results to internal clients.
• Perform data cleaning, feature engineering, and exploratory analysis.
• Prepare descriptive plots and reports for stakeholders.
• Drive data-driven improvements in products and processes.

Skills

R programming

Python programming

Statistical analysis

Model development

Data visualization

Education

PhD in Chemical Engineering or Material Science

MA with +5 industrial experience

Tools

R

Python

SQL

Job description

Qnity is seeking a Senior Data Scientist at its Wilmington, DE headquarters. The role focuses on applying statistics and data science to support R&D, manufacturing, and business activities.

You will develop models, perform data cleaning, and communicate insights to clients. Ideal candidates have extensive experience with regression, ML techniques, cross-validation, and SQL, and can prepare data for analysis, create descriptive plots, and generate reports that drive value for the company and its