Sec

Data Scientist

1530 FM 973 Taylor, TX, USA · Full-time

Sponsorship not specified$76k-$145kDetected 6 days ago

AlgorithmsMachine LearningData ScienceStatisticsDetection EngineeringAgileControlsProblem SolvingAdaptability

About the role

By designing and implementing scalable machine learning pipelines, you will help reduce manufacturing variability and accelerate the identification of process issues, directly impacting the efficiency and quality of our semiconductor fabrication.
This role requires a strong foundation in analytical problem-solving, statistics, and the machine learning expertise necessary to deploy predictive models at an industrial scale.

You will focus on developing advanced abnormality detection systems to monitor complex data streams and building sophisticated root cause analysis applications to drive quality improvement.
Our team emphasizes a lean, Agile mindset, focusing on rapid development and iterating based on feedback to drive continuous improvement.
As a critical thinker, you will have the autonomy to identify high-value problems and design and implement the best technical solutions.
Develop and optimize abnormality detection algorithms of time-series data to monitor diverse semiconductor data sources.
Manage all stages of the ML development pipeline, from data ingestion and feature engineering to model deployment.
Develop and maintain internal applications used for root cause analysis to drive yield improvement.
Analyze large and complex datasets to identify trends and patterns that drive measurable system improvements.

Design and implement the technical architecture required to support scalable ML development and execution.
Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or equivalent professional experience).
Expert-level proficiency in PySpark for large-scale data processing.
Proven experience implementing abnormality or anomaly detection algorithms, particularly with time-series data.
Applicants must be authorized to access such information or eligible for government authorization.

About Samsung Austin Semiconductor
Come innovate with us!
Position Summary
As a Data Scientist at Samsung Austin Semiconductor, you will play a critical role in optimizing and improving semiconductor manufacturing processes.
While prior experience in the semiconductor industry is a plus, it is not required for success
instead, you will learn through hands-on projects and working with our experienced team members.
Role and Responsibilities

Skills and Qualifications
Demonstrated experience working in an Agile development framework.
Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience.

The current base salary range for this role is between $76,000 - $145,000.
Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.

We offer a comprehensive benefits package, including:
Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Paid maternity and paternity leave
Paid time off (PTO) + 2 personal holidays and 10 regular holidays
Wellness incentives and MORE
The base compensation for this role will depend on education, experience, skills, and location.

We are looking for an adaptable problem-solver who thrives in an environment of autonomy and collaboration.
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package.

This listing is sourced directly from Sec's careers page and normalized into a canonical job model.