Data Science Application Developer

What You'll Do

• Develop new functionality and build tools to automate and improve efficiency of device engineering core tasks Build and maintain data flows, database infrastructure to enable and support Big Data analytics projects for Device Engineering organization Support deployment of Machine Learning (ML) projects in cloud environment for all Fabs Contribute to software development of Global Device Engineering infrastructure efficiency and innovation projects: Define, generate, and maintain efficient coding in Python, JavaScript or R and other programming languages Working with device engineering teams at Fab locations to improve automation for multiple job functions, building tracking dashboards Integrate existing Device Engineering analysis tools and software with AWS cloud databases Productize small scale application solutions for larger use and drive adoption / standardization across the Device Engineering organization Customer focused approach to developing and delivering ad-hoc analysis applications Collaborate across organizational boundaries within Technology Development and Design Enablement Teams, present project status to peers and the leadership team as needed Able to handle multiple projects Quick learner and team player in an international multi-disciplinary environment Required Qualifications: BS or MS in Computer Science, Software Engineering with 3 years of experience Expert level and industry experience in custom software development using Python, JavaScript or R-script.
• Strong data analysis, data mining and problem-solving skills.
• Experience with Cloud data technologies.
• Experience with SQL or other databases.
• Strong interpersonal skills; team player; able to work effectively in a dynamic, fast-paced environment.
• Excellent written and oral communications skills.
• Understanding of semiconductor devices and process fabrication flow is a plus 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.
• We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
• As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
• All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks , medical screenings as applicable and subject to the respective local laws and regulations.
• No Recruitment Fee Policy: GlobalFoundries is committed to ethical and transparent hiring practices.
• Candidates will not be charged any fees at any stage of the recruitment process.
• Any request for payment related to a GlobalFoundries employment opportunity is unauthorized and should be reported immediately .
• All legitimate recruitment communications are conducted exclusively through official GlobalFoundries channels.
• To report concerns or suspected recruitment fraud, please contact our Ethics & Compliance Office at global.compliance@GlobalFoundries.com or visit our official website.
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• CVs/resumes submitted to this mailbox will not be reviewed, processed, or considered for employment opportunities.
• Please apply through the official GlobalFoundries careers site only.
• Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/