Senior Data Scientist – Smart Manufacturing, AI
Eightfold
full-time
Posted on:
Location Type: Office
Location: Taichung • Taiwan
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About the role
- Employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed
- Interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools
- Develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources
- Perform exploratory and new solution development activities
Requirements
- B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field
- PHD in related subject areas are preferred
- At least 3 year experience in data science in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning
- Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch, sklearn etc.)
- Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques
- Experience working in Google cloud platform or other big data platform is a plus
- Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments
- Excellent communication skills for explaining models, assumptions, and results to non-technical stakeholders, able to work independently with internal and external stakeholders to drive ideas to resolution
- Experience with Generative AI solutions including RAG, LLM tuning, agentic problem solving is preferred
- Solid experience with RCA (root cause analysis) related algorithms and modeling in solving complex industry problems are preferred
- Good full stack skills to build end-to-end data science application with scalability and robustness is preferred
- Experience working with Manufacturing Execution Systems (MES), or good knowledge in wafer process and yield analysis is a plus
- Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
data sciencestatistical modelingmachine learningdeep learningpythonSQLdata cleansingoutlier identificationmissing data techniquesroot cause analysis
Soft Skills
communication skillsindependent workstakeholder engagementproblem solvingprototype development
Certifications
B.S. degreeM.S. degreePhD