Samsung Austin Semiconductor is one of the most advanced semiconductor manufacturing facilities in the world and an integral part of Central Texas for more than 27 years, driving job generation, economic impact and engagement with the surrounding community.
Samsung Austin Semiconductor serves a global customer base with broad semiconductor process technology offerings that impact everyday life including mobile, graphic, consumer, networking/high performance computing, Internet of Things, RF and automotive. Through successful collaborations with foundry customers and a continuous drive to develop the most cutting-edge technologies, Samsung Austin Semiconductor has become a major player in the foundry market. Samsung Austin Semiconductor’s technology portfolio ranges from 65nm to 28nm using planar transistor technology to the more advanced 14nm 3D FinFet technology.
With more than 4,500 employees, Samsung Austin Semiconductor is a premier and growing employer who provides a great place to work, is committed to environmental stewardship and being a good corporate citizen. Our employees are the key to our success and we invest in our people with competitive compensation & benefit packages, career development opportunities and programs that enhance physical, emotional and intellectual well-being. Our employees work at various locations throughout Central Texas including the main plant on East Parmer Lane in northeast Austin, a satellite office near Pflugerville and the construction site in Taylor, Texas. Learn more at semiconductor.samsung.com/us/sas.
Roles and Responsibilities:
Job Summary/Overview:
As a Data Scientist at SAS, you will be involved in the entire lifecycle of projects that help drive improvement on key factory outcomes such as yield, output, and cost reduction. The Data Science team is responsible for building large-scale analysis programs that derive business insights from extremely complex data sources, as well as implementing solutions based on those insights. While developing Data Science applications you will work alongside an experienced team providing access to a wide range of knowledge in areas such as data analysis, semiconductor manufacturing, and process optimization. The ideal candidate has a strong coding and statistical background as well as hands on experience implementing solutions that utilize the full data science cycle including data extraction, cleaning, exploration, and machine learning.
Specific Job Duties:
• Leverage languages like Spark and Python to develop programs that analyze massive datasets.
• Work collaboratively with team members to design programs for fault detection, predictive analytics, and root-cause analysis.
• Perform data analysis throughout the program development lifetime to ensure data validity and integrity, such filtering extreme outliers, normalizing data, etc.
• Utilize data mining, feature engineering, machine learning, and statistical analysis to make new discoveries within various data sources.
• Transform complex problems and solutions into concise, easily understandable presentations for better communication with relevant teams.
Shift: 1st (M-F)
Skills and Qualifications:
Education, Training, Certification(s) and Minimum years of experience required
• Bachelor’s Degree in “STEM” field (Science, Technology, Engineering, Mathematics or Data Science). Masters preferred.
• Minimum 3 years of experience in Data Science
Knowledge, Skills, Abilities, Software, and Tools
• Hands on experience implementing big data solutions using Spark.
• Proficiency in Python and SQL.
• Solid background in statistics (hypothesis testing, outlier filtering, normalization).
• Familiarity with machine learning including model training, validation, and feature reduction techniques.
• Hands on experience with supervised learning algorithms such as linear regression, tree based models, and neural networks.
• Ability to work effectively with subject matter experts to ensure data is analyzed properly.
• Experience in software development toolkits (Jira and Git).
• Agile/Scrum development experience.
• Willingness to learn the intricacies that come with semiconductor data.
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Benefits
Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite cafeteria, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.
U.S. Export Control
This position may require the ability to access information subject to U.S. export control restrictions. If the position requires it, applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.
Trade Secrets
By submitting an application, you [applicant] agree[s] not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.
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* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
