Senior Data Scientist

Qnity Electronics, Inc.; Wilmington (DE); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Qnity Electronics, Inc.在美国特拉华州威明顿总部诚邀资深数据科学家加入。该职位将与内部客户及跨职能团队合作，负责数据清洗、建模、特征工程与报告可视化，覆盖新产品开发、制造过程改进、销售预测、供应链优化、文本分析及现场产品测试等领域。

理想人选应具备在统计与机器学习方面的扎实背景，熟练使用R或Python进行数据分析，具备出色的沟通能力，能够把复杂方法转化为可落地的业务价值。具备五年以上相关经验和相关学位者优先。此岗位在威明顿总部现场工作，团队氛围积极，成长空间良好。

Qualifications

• 博士/硕士学历至少一个，具工业经验者优先。
• 熟练R或Python进行数据准备、回归与绘图。
• 具备统计学基础、回归与假设检验知识。
• 掌握随机森林、XGBoost、Lasso、交叉验证及超参数调优等ML技术。
• 具备SQL基础查询能力。

Responsibilities

• 参与新产品开发与制造过程的持续改进。
• 进行销售预测与供应链优化分析。
• 对竞争分析进行文本分析。
• 在现场环境中对数据进行建模、分析报告可视化。
• 与数据工程/软件团队协作，推动模型落地。

Skills

博士/硕士+工业经验

R或Python编程

统计学知识

机器学习

SQL数据库查询

五年以上相关经验

业务价值评估

自学与前沿跟进

跨部门沟通

Education

PhD in Chemical Engineering or Material Science

MA + 5年工业经验

Tools

SQL

Job description

您是否渴望助力激动人心的先进电子领域的下一次飞跃？您是否希望跟我们一起解决难题， 共同推动电子技术和互联科技的快速发展？那么，带着您的解决问题的能力、热情和创造力，与我们一起推动电子领域的下一次飞跃。

在启诺迪，我们不仅是先进电子和高科技领域材料及解决方案的全球领导者，更是一个紧密团结、充满激情、勇于挑战的团队。我们所有敬业的团队都致力于将尖端技术变为现实。我们重视具有前瞻性思维的挑战者、突破界限的开拓者以及各个部门的多元化视角，因为我们深知，我们在推动世界进步、造福全人类方面扮演着至关重要的角色。了解如何加入我们，开启或加速您的职业生涯。

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是一家推崇机会均等的公司。我们对符合条件的求职者一视同仁，不会因其种族、肤色、宗教、信条、性别、性取向、性别认同、婚姻状况、国籍、年龄、退伍军人身份、残疾或或属于任何其他受保护阶层而区别对待。如果您需要借助合理的便利条件来搜索或申请职位，请访问我们的无障碍功能页面获取联系信息。

Qnity提供全面的薪资和福利方案。要了解更多，请访问薪酬和福利页面

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