Senior Data Scientist

Qnity•Elsmere, DE

47d•Onsite

About The Position

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics. At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us. 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

Requirements

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.

Responsibilities

Collaborate with clients within the company engaged in a variety of research & development, manufacturing, and business activities.
Contribute technically in areas such as new product development, continuous improvement in manufacturing, sales growth and forecasting, supply chain optimization, text analytics for competitive analysis, and product testing in field applications.
Prepare data for analysis, build models, and create descriptive plots and reports.
Plan a data analysis activity as a series of logical steps.
Effectively communicate methods and results to clients in the business.
Identify opportunities that are worth resolving to bring in great value.
Collaborate with data engineering and software development teams to query data and deploy models.