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.

We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.

Your Job

As a Data Scientist, 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 – Graduating with Bachelor’s in data science or related field from an accredited degree program.

Language Fluency - English (Written & Verbal)

Experience in working with and analyzing large data sets with code

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

Data visualization and plotting experience with code

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

Preferred Qualifications

Prior related internship or co-op experience.

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

Attractive compensation package with competitive salary, performance related bonus plan and a global recognition program.

Employee Stock Purchase Plan (including 20% match and 50 seed shares for first time participants, non-executive).

Individual, technical or management career path opportunities supported by enhanced learning and development programs.

Healthy and teambuilding work environment with various perks:

Additional medical service, including dental and, coverage of employees’ children

Food vouchers and canteen discounts

Sports card 50% subsidized by the employer; possibility to add a family member.

Top-rated office location with recreation Spa facilities

Discounts for Spa & Wellness Programs at NV Tower

Regular Team Events and Celebrations

Relocation/Immigration Support for international Hires

Focus on employee work-life balance:

Hybrid working model and flexible working time

21 to 25 days paid vacation depending on years with the company

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency, and innovation whilst our employees feel truly respected, valued and heard. For more information on GlobalFoundries, visit www.globalfoundries.com   

Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/