About GlobalFoundries
GlobalFoundries is a world-leading contract manufacturer for the global semiconductor industry with facilities in Dresden, Singapore, New York and Vermont (USA). Our products are used in various technical applications, e.g. mobile communications, consumer electronics, automotive and more. GlobalFoundries employs around 13,000 people worldwide, including 280 in Sofia. 

Our Sofia based team will enhance GF’s scale and capabilities, while strengthening competitiveness of its specialized application solutions to further position the company for growth and value creation. 

Our Design and Technology Enablement teams are working on the development of a broad portfolio of semiconductor technologies ranging from 350 nm down to 12nm including FD-SOI, RF, High-Voltage and automotive applications. 
 

Your Job

As a Data Science Intern, you will join a growing team based in Sofia performing and supporting Device Engineering in the Central Research and Development (CRD) organization. You will work closely with device engineers from the different product lines to produce reports, device quality graphs, enable automation on data sources and develop applications that increase internal customer productivity. You will work on developing code and applications using GFIT and cloud-based infrastructure. You will also contribute to advanced modeling of device data using statistical, analytical and machine learning techniques. In addition, you will be involved in establishing and communicating the value of the reports, insights and models the team produces.

Essential Responsibilities

• Work with GlobalFoundries device engineers to translate their needs into actionable insights derived from analytical analysis

• Enable automation of both data preparation and data visualization of semiconductor device reports and analysis

• Contribute to the development and deployment of production grade analysis applications with both on premises and cloud based infrastructure

• Collaborate closely with GFIT, Manufacturing Product Lines and support the Infrastructure Team in building the required automation necessary for reports and graphing

• Help to identify suitable machine learning or statistical approaches on Device Engineering types of problems.

• Contribute to deploying predictive models into production with assistance from Product Engineers.

• Communicate value of analytics to Fab leadership and business partners and increase the awareness of Device Engineering analytics.

Required Qualifications

• Education – we are looking for someone who is Maths or Engineering oriented and very interested in coding. The coding language will be primarily Python, JavaScript or SQL would be a plus - little coding experience is required but it would be a benefit.

• Language Fluency - English (Written & Verbal)

• Some experience in coding, either with several courses completed or with some practical experience - primarily Python, JavaScript or SQL would be a plus

Preferred Qualifications

• Experience in working with and analyzing large data sets with code

• Data visualization and plotting experience with code

• Experience working with common large data libraries such as pandas and numpy.

• Project management skills, i.e. the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.

• Strong written and verbal communication skills

• Strong planning & organizational skills

• Strong communication skills to interact with both technical and non-technical audience.

• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.

We offer

• 20 h/week, aligned with university schedule

• Monthly Scholarship

• 1 - 1.5 years duration

• Top office location