TE Connectivity Digital Factory Data Scientist Intern in MIDDLETOWN, Pennsylvania

TE Connectivity (NYSE: TEL) is a $12 billion global technology leader. Our connectivity and sensor solutions are essential in today’s increasingly connected world. We collaborate with engineers to transform their concepts into creations – redefining what’s possible using intelligent, efficient and high-performing TE products and solutions proven in harsh environments. Our 72,000 people, including over 7,000 engineers, partner with customers in over 150 countries across a wide range of industries. We believe EVERY CONNECTION COUNTS – www.TE.com.

The TE Engineering Internship (Summer 2018) opportunity is designed to provide the participant with a variety of challenging projects that help him/her further develop a strong background in applying probability and statistics to real data, as well as defining a problem and evaluating the effectiveness of different techniques in solving these problems. The participant should have a strong technical background in Systems Engineering and strong collaborative teamwork skills. As an intern in TE’s Digital Engineering/Manufacturing/Operation (DEMO) Group, the participant will report to the Digital Manufacturing Manager and interface directly with the Digital Factory team to gain hands-on experience, while interacting with various areas of the company.


  • Analyze source data and data flows, working with structured and unstructured data.

  • Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends

  • Apply AI/Machine Learning technology to solve real-world problems (Cloud-based platforms).

  • Work with supervised and un-supervised learning methodologies.

  • Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely

  • Execute both descriptive and inferential ad-hoc requests in a timely manner

  • Communicate and present models to business customers and executives

  • Work collaboratively with different business partners and present results in a clear and concise manner

  • Assist others to leverage the use of AI/Machine Learning


  • Working towards Bachelor’s degree in Engineering (IE/CS/Statistics/Mathematics).

  • Demonstrated ability in the application of Machine Learning/AI in real-world data.

  • Excellent communication skills and ability to simplify complex topics for broad audiences.

  • Ability to prepare reports and conduct presentations.

  • Demonstrated ability in data-driven decision making and quantitative analysis skills. A desire to create and develop new processes, technique and methodologies.

  • Knowledge on Data Mining and Analytics using big data

  • Good knowledge of SQL and high proficiency in data modeling is a plus

  • High attention to detail and proven ability to manage multiple, competing priorities simultaneously.

  • Experience with Tableau or any equivalent data visualization or BI tools.

  • Strong motivation towards state of the art techniques and technologies.

Requisition ID: 2017-83958

ITAR "Sensitive Position": No

Business Unit (Current): Corporate - Global Operations

External Company URL: www.tycoelectronics.com