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Nice to Have
- PhD or Master’s degree in a quantitative discipline such as mathematics, computer science, economics, physics, statistics, or a related field Experience in supply chain, demand planning, manufacturing, or industrial forecasting environments Familiarity with modern AI and machine learning trends, including deep learning architectures, transformers, and foundation models, with a pragmatic view on when and how to apply them Experience with cloud-based data and machine learning platforms Track record of leading technically complex projects from concept through production Why Analog Devices At Analog Devices, you will work on problems that matter at global scale, influencing how critical technologies reach customers across industries.
- This role offers the opportunity to shape core forecasting capabilities, apply rigorous data science to high-impact decisions, and help define the future of analytics in a complex manufacturing environment. #LI-BF1 For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S.
- Department of Commerce - Bureau of Industry and Security and/or the U.S.
- Department of State - Directorate of Defense Trade Controls.
- As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
- We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
- Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days
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938 positions
Job ID
/job/Ireland-Limerick/Senior-Principal-Data-Scientist--Forecasting_R260226
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