Intel에서 반도체 공정 최적화를 위한 데이터 사이언티스트/통계학자를 채용합니다. 통계학, 데이터 사이언스, 산업공학 분야의 석사 또는 박사 학위가 필수이며, 관련 분야 4년 이상의 경력이 요구됩니다. Python, SQL, 머신러닝 활용 능력과 공정 제어 시스템에 대한 이해가 중요합니다. 하이브리드 근무가 가능하며, 데이터 기반의 의사결정을 주도할 인재를 찾습니다.
Intel Foundry Statistics and Data Science team's mission is to drive statistically sound methodologies into business practices and systems to help organization manage change control decisions, monitor capability of the process, ensure matching across tools and fabs, and drive best in class process control systems. Our team reports into the foundry quality and reliability team and is essential for driving transformation of Intel to be focused on not just process development, but a great partner for our foundry customers to help turn data into information. Our team is looking for an engineer with background in statistics and data science with strong technical skills in applied statistics, good communication skills, ability to also help support and develop modern AI/ML solutions.
As a Statistician and Data Scientist in the TD AI office, you will partner with Intel's factory automation organization and Foundry TD's functional areas to support semiconductor process development and transfer of these systems to worldwide virtual factory network.
The primary responsibilities for this role will include, but are not limited to:
Ensuring organization leverages appropriate data and analyses to make change control decisions
Drives organization to use process control systems to improve capability, matching, and stability of semiconductor process technologies
Use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from the structure and unstructured data.
Develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.
Assist the business with casual inferences; observations with finding patterns and relationships in data.
Interfacing with process and integration functional area analytics teams to help solve problems
A successful candidate will have proven experience demonstrating the following skills and behavioral traits:
Experience in using AI/ML/Analytics algorithms and methodologies
Developing statistical methodologies
Ability to code statistical analysis, data cleaning, and data manipulation via common languages such as JSL, Python, and SQL
Understanding of data structures
Strong written and oral communication skills.
Ability to train others
Analytical problem solving and troubleshooting skills.
Teamwork skills and partnership skills.
High tolerance of ambiguity.
High level of self-motivation
You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Master's or PhD degree in Statistics, Data Science or Industrial Engineering.
4+ years working in statistics or data science
2+ years working on quality systems such as process control systems and change control systems
1+ year working on PowerBI or similar dashboards
1+ years in data analytics and machine learning (Python, R, JMP, etc.) and relational databases (SQL).
Preferred Qualifications:
1+ years working on fault detection systems
2+ years in a Technical leadership role.
3+ months working knowledge with any of following technologies: JSL, Python, Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs and services.
3+ months working knowledge with CI/CD (Continuous Integration/Continuous Deployment) and proficiency with GitHub and GitHub Actions.
Prior interaction with factory automation systems
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Experienced Hire
Shift 1 (United States of America)
US, Arizona, Phoenix
US, Oregon, Hillsboro
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.
N/A
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $116,010.00-228,070.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
