Data Scientist/Engineer

Key Skills

Apache Xampp, ASP.net, Bash scripting, Big Data Technology, C# Programming, Continuous Integration & Continuous Delivery - CI/CD, Databricks, Debugging, JavaScript, KNIME, Machine learning techniques, MATLAB Programming, MLflow, PHP Programming, PowerBI, Python Programming, SQL, Statistics, Tableau

Job Description

DuPont Electronics & Industrial business has an exciting and challenging opportunity for a Data Scientist/Engineering in DuPont’s Electronic Materials Chemical Mechanical Planarization (CMP) Technology group located in Wilmington/Newark, DE. We are the global leader in making various consumables used to polish semiconductor wafers, which then becomes logics and memories in electronic devices, such as smart phones, computers, data center, etc.

This role specifically resides within the data science group of Advanced Characterization and Fundamentals team in CMPT R&D. The data group focuses on designing, developing and implementing digital products and tools that are essential for making R&D lab data readily available, extracting insights from data, and making data-based decisions to accelerate new product development and support customers. The major customers are scientists and engineers within R&D and beyond R&D, such as field service, marketing and product quality. The group is the catalyst to drive the digital transform of CMP and using digital tools to help DuPont CMP stay cutting edge and competitive in the global market.

The ideal candidate will be highly versatile in skills blending a data scientist and data engineer roles, open minded to learn and adapt to new data technologies and characterization techniques relevant to digital product. The candidate is expected to maintain the existing digital product in the group, understand the data pipeline, and provide application support properly. The candidate can grow into a resident expert to shape either the team’s back-end strategy or front-end strategy, to build sustainable solutions for R&D. The candidate should feel comfortable communicating with highly technical customers in science and engineering, able to listen, and incorporate their feedback, to create customized and innovative solutions. The candidate will be part of the DuPont’s internal data science community, and work closely with leveraged IT functions within DuPont, and external consultant where necessary to satisfy customer needs.

The role provides hybrid (onsite and remote) work environment (at least 60% onsite), and the primary site is the experimental station at Wilmington, DE. There will be a periodic need (~few times a month) to go to the site in Newark, DE for customer meetings and trainings.

Key Responsibilities

• Provide application and deployment support for customized built data systems, such as adding users, features, materials, and continuously improving the application by integrating user feedback, to provide scientists and engineers with the metrics and analysis they need to make strategic and tactical decisions in a timely manner.
• Build relational database with web-interface to make lab data readily available
• Develop algorithms to analyze various analytical data (such as material mechanical data, process parameters, image, spectroscopy), visualize them and deploy the method to users, through interactive user interfaces effectively and securely
• Build dashboards/web application to visualize critical metrics and product data, automate data reporting and sharing
• Code review as part of development and product lifecycle
• Technical writing and verbal communications
• Draft project charters and manage key stakeholders
• Cross-disciplinary team collaboration

Required Qualifications

• BS Degree in applied mathematics, computer science, information science and technology, Electrical Engineering or related field.
• >1 year of relevant industrial work experience in an informatics related role
• Proficient in python programming

Preferred Qualifications

• Degree in applied mathematics, computer science, information science and technology, Electrical Engineering or related. A double major or minor in physics or engineering is preferred. Alternatively, a PhD in engineering or science with extensive experience in modeling and programming.
• >2 year of relevant work experience in an informatics related role post-graduation
• Basic knowledge of Matlab, Power BI or Tableau, and SQL
• Ability to learn independently, such as researching vendor or package documentation
• Basic knowledge using Matlab for scientific computing and visualization
• Basic knowledge in SQL, such as writing queries and create simple data tables
• Experience in a visualization tool, such as Power BI or tableau
• Experience in Git for collaborating on code development and issue tracking
• Experience in one web development tool or language, such as python-based web framework dashboards, KNIME, JavaScript, Php, ASP.NET at least to debug & improve existing web service
• Build descriptive, predictive and prescriptive models using Big Data, statistics, machine learning across various themes
• C# and REST API familiarity to maintain and deploy existing application
• Experience in Apache Xampp & Microsoft IIS server environments
• Experience using Microsoft Azure service platforms (e.g. Databricks, MLflow, etc)
• Experience using CI/CD for automated deployment pipeline of applications
• Familiar with terminals and scripting using bash

DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.