该职位来源于猎聘 Job Description: This Data Scientist role offers an exciting opportunity to leverage your expertise in transforming Fab data into valuable insights, aiding in the resolution of factory yield, process, and manufacturing engineering challenges. In this position, you will be responsible for delivering data analysis tools and methodologies to support engineers across various domains:
- Facilitate quick and efficient signal detection for yield or process issues.
- Enhance yield and quality while reducing costs to achieve Quality, Output, and Cost objectives. The ideal candidate will collaborate closely with a diverse team of yield and process engineers to understand their business needs and analysis methodologies, developing solutions that support data-driven decision-making in their daily operations. Qualifications:
- A minimum of a Master's degree in Statistics, Machine Learning, Computer Science, or related fields is required; a Ph.D. is preferred.
- Proficiency in data analysis techniques such as predictive modeling, machine learning algorithms, clustering, dimensionality reduction, and anomaly detection.
- Experience with at least one data programming language or scripting tool (e.g., Python, JMP, R).
- Strong team player with excellent communication, presentation, and time management skills.
- Exceptional technical problem-solving and analytical abilities, with the capacity to quickly understand complex issues.
- Experience with SQL, Hadoop, and Spark is advantageous.
- Familiarity with the semiconductor industry is a plus.
- At least 3-4 years of experience in fields such as data application development, data analytics (including various ML algorithms), computer vision, deep learning, or LLM, with a proven track record of deliverables.
- Highly self-motivated and passionate about data science. This position is for: Regular Primary Location: Dalian Additional Location(s): Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Work Model for this Role: This role will require an on-site presence. Relocation: Relocation and/or the ability to work from a different location within the country/countries posted may be available based on business need and necessary approvals.