Senior Data Scientist

Qnity Electronics, Inc.

$110K — $130K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Chemical Engineering or Material Science; or MA with 5+ years of industrial experience
  • Proficient in R or Python for data preparation, regression, and plotting
  • Formal education in statistics including regression and hypothesis testing
  • Expertise in machine learning techniques like random forest, xgboost, and hyperparameter tuning
  • Basic competency in SQL for database queries
  • Minimum of five years experience applying data science in business or engineering
  • Strong problem identification and business value estimation skills

Responsibilities

  • Collaborate with clients on R&D, manufacturing, and business activities
  • Drive new product development initiatives using data insights
  • Improve manufacturing processes through statistical analyses
  • Forecast sales growth and optimize supply chain strategies
  • Conduct text analytics for competitive analysis
  • Test products in field applications for effectiveness
  • Communicate findings and methodologies to internal clients effectively

Benefits

  • Comprehensive pay and benefits package
  • Access to ongoing training and development
  • Opportunities for professional growth in a dynamic field
  • Collaborative work environment with experts in materials science and data analysis
Full Job Description
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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Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

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