Senior Data Scientist

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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.

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