Data Scientist

About GFGlobalFoundries Inc.
(GF) is one of the world's leading semiconductor manufacturers.
GF redefines innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions with leading performance in all growth markets.
GF offers a unique mix of design, development and manufacturing services.
With a talented and diverse team and manufacturing locations in the U.S., Europe and Asia, GF is a trusted technology provider to its global customers.
GF employs approximately 13,000 people, including more than 3,000 in Dresden, Germany.
For more information, visit ***The Digital Manufacturing team within GF aims to develop, implement and scale digital solutions for all GF sites.
The team covers a broad portfolio of use cases ranging from yield analytics, metrology, predictive maintenance, indirect material consumption monitoring, productivity and lean fab.Your Job:
As a Data Scientist, you will be reporting to the Analytics Center of Excellence (CoE) Manager and support in a pivotal role within the Data Science team and assist in the provision of analytics technical requirements.
You will support your manager to initiate best practices in analytics use case development, deployment, scaling, and maintaining the data science projects.
You will assist your Analytics Center of Excellence (CoE) Manager in fostering partnerships with Artificial Intelligence (AI) vendors/start-ups.Your specific responsibilities will include but are not limited to:
Work closely with the Analytics Center of Excellence Manager to define project objectives, deliverables, and timelines.Support the Analytics Center of Excellence Manager in initiating, designing, developing, and programming methods, processes, and systems to generate actionable solutions on several use cases.Collaborate with cross-functional teams to identify opportunities for artificial intelligence (AI), machine learning (ML), and other digital manufacturing initiatives.Collect, clean, and preprocess large volumes of structured and unstructured data from various sources to develop use cases.Conduct exploratory data analysis to uncover insights and patterns that can inform decision-making process optimization.Communicate findings and recommendations to stakeholders, including Fab leadership, in a SMART (Specific, Measurable, Attainable, Realistic, and Time-Bounded) manner.Stay updated on the latest trends and advancements in artificial intelligence (AI), machine learning (ML), and evaluate their potential applications to support digital manufacturing initiatives.Other Responsibilities:
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.Required Qualifications:
Bachelor's degree in data science, computer science, Information Technology, or a related field.Multiple years of experience in data science, machine learning, or related roles, with a focus on digital manufacturing or industrial applications.Strong programming skills in languages such as MS Macro, SQL, Python, Java, Power BI, etc.Solid understanding of statistical techniques, machine learning algorithms, and data visualization principles.Excellent analytical and problem-solving skills, with the ability to translate complex data into SMART recommendation actions.Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.Strong understanding of data management principles, analysis methodologies, and tools.Preferred Qualifications:
Masters in data science or a related field.We Offer:
Attractive compensation components:
13th month salary, bonus payments, assistance with relocation to Dresden.Flexible working time arrangements:
Family-friendly part-time models, trust flextime, salary conversion into free time.Diverse opportunities for further development:
Career stages for every job, internal qualification offers, promotion of external educational qualifications.Focus on your health:
On-site gym and beach volleyball court, bike leasing, subsidized employee restaurant.Corporate culture:
Cooperation at eye level - everyone is on first name terms with us, budget for individual team events, social commitment via GlobalGives.Diversity is part of our corporate DNA.
For this reason, we would like to encourage women in particular to apply for a job with us.
As we value equal opportunities and inclusion is particularly important to us, we welcome applications from people with disabilities.Information about our benefits you can find here:
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