The Data Scientist job expectations typically () include and support troubleshooting service offerings in semiconductor manufacturing using proprietary analytical platforms, commercial tools and custom scripts. The candidate will be a to improve yield and device performance of advanced logic/memory integrated circuits.
It may include () for solving customer high-value problems through research and development.
People within this role should be willing to learn and . They should crossover and learn different subject areas such as Electronics, Physics, Chemistry, Mechanical Eng, Statistics, Mathematics and Computer programing languages, while also interested to , perform , and see the big picture.
Specific Duties Include
1.Acquire, cleanse, organize and mine massive volumes of data (sensor/system log) using custom scripts
2.Learn, understand and apply customer data in statistical analysis as necessary
3.Learn and understand commercial tools, custom scripts, proprietary analytics platforms and new scripting and programming languages as required for the work
4.Analyze and visualize customer data using commercial tools such as JMP/Tableau, apply Unix Shell scripting skill in data anomaly detection and correction. Apply version control systems (such as git) for artifact maintenance
6.Communicate verbally and create observation reports explaining the relationships in the data and the significance and work closely with other Applied Materials employees to understand which of these relationships may be anomalous or valid
7.Prepare necessary presentation materials for project status review meetings, interact with project stake holders and run regular cadence meetings and work in alignment with team and organization goals.
8.Document and update methods and processes
9.Actively participate in knowledge sharing sessions
10. Build applications for process automation
1.B.S/M.S./M.Tech/Ph.D. in Physics, Chemistry, Mathematics, Statistics, or any Engineering field
2.The ideal candidate will have an added advantage if having skills in scripting using and
3.Proficiency in applying statistical techniques
4.Must be a keen learner and demonstrate strong motivation in research and development activities
5.Good to have prior experience in data analysis using descriptive statistical analysis techniques such as Univariate/ Multivariate analysis to describe and summarize data
6.Must have organized and disciplined work culture – such as accurately submitting weekly hours, timely status reporting, adhering to programming standards
7.Must be able to show high level of accountability and cooperation. Ability to work as a team.
8.Work experience as a Semiconductor process engineer/analyst improving efficiency and quality, process transfer from development to production, applying analytical techniques for troubleshooting is added advantage
1.Job Family: Data Science
2.Primary Location: Asia-India-Karnataka- IND, Bangalore
3.Travel: 10% to 30% international travel
Science/Eng background having 3-10 years of experience in performing descriptive statistics, using commercial tools, cleansing and analyzing large volume of data. Unix knowledge with semiconductor background is an added advantage.Qualifications
Years of Experience:
4 – 7 YearsWork Experience:
Yes, 20% of the TimeRelocation Eligible:
Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.