Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist. This position will be at Qnity's corporate headquarters in Wilmington, DE. For experienced data science candidates, this is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company. Qnity is a market leader in specialty materials for electronic devices and semiconductor fabrication. In this role, the Data Scientist will collaborate with clients within the company engaged in a variety of research & development, manufacturing, and business activities. Statistics and data science are integral to our business and there are exciting opportunities for technical contributions in a variety of areas. • New product development • Continuous improvement in manufacturing • Sales growth and forecasting • Supply chain optimization • Text analytics for competitive analysis • Product testing in field applications A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning, and cross-validation. The applicant should have fluent coding skills in R or Python with the ability to prepare data for analysis, build models, and create descriptive plots and reports. Beyond these technical skills, the job requires an organized worker who can plan a data analysis activity as a series of logical steps, effectively communicate their methods and results to clients in the business, identify opportunities that worth resolving to bring in a great value, and collaborate with our data engineering and software development teams to query data and deploy models. Required Skills & Education • PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience • Coding skills in R or Python including data preparation, regression, and plotting • Some formal education in statistics, including regression and hypothesis testing • Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and hyperparameter tuning • Basic competency with SQL database queries • At least five years of experience applying statistics and data science to solve business, engineering, or scientific problems • Independent problem identification and business value estimation • Self-learning with the intellectual curiosity to keep abreast of advances in the field, grow data science expertise, and refine grasp of internal business operations over time • Effective interpersonal skills for communicating technical concepts to a layperson, collaborating with team members, and confidence presenting data analysis results to internal clients. #LI-RS1