We are looking for an experienced data Scientist to join our AI team within the Operation Excellence Department and take a leading role in shaping data -driven initiatives across the organization. This position is an individual contributor role with significant ownership and influence – ideal for someone who can independently guide complex AI/ML projects while collaborating closely with cross-functional teams.
You will analyze complex and diverse semiconductor-related datasets, develop predictive and statistical models, and deliver actionable insights that enable data -driven decision-making. The role emphasizes applying advanced ML techniques to extract deep insights, build scalable models, and drive impact in innovative and cutting-edge projects.
You will analyze complex and diverse semiconductor-related datasets, develop predictive and statistical models, and deliver actionable insights that enable data -driven decision-making. The role emphasizes applying advanced ML techniques to extract deep insights, build scalable models, and drive impact in innovative and cutting-edge projects.
Requirements:
Bachelors degree in data Engineering, Statistics, Mathematics, Computer Science, or a related technical field.
Masters degree in a relevant field advantage.
5+ years of hands-on experience as a data Scientist (experience in semiconductor or manufacturing environments strong advantage).
Proven experience developing and implementing ML, Deep Learning, and LLM-based algorithms.
Strong programming skills in Python and experience working with relational databases.
Deep understanding of development processes and best practices in the LLM domain.
Experience building and deploying Deep Learning models using PyTorch advantage.
Experience developing Multi-Agent Systems advantage.
Strong communication and leadership abilities; able to lead complex technical programs while operating as an individual contributor.
Bachelors degree in data Engineering, Statistics, Mathematics, Computer Science, or a related technical field.
Masters degree in a relevant field advantage.
5+ years of hands-on experience as a data Scientist (experience in semiconductor or manufacturing environments strong advantage).
Proven experience developing and implementing ML, Deep Learning, and LLM-based algorithms.
Strong programming skills in Python and experience working with relational databases.
Deep understanding of development processes and best practices in the LLM domain.
Experience building and deploying Deep Learning models using PyTorch advantage.
Experience developing Multi-Agent Systems advantage.
Strong communication and leadership abilities; able to lead complex technical programs while operating as an individual contributor.
This position is open to all candidates.
