Data Scientist

Posted 20 Days Ago
Taylor, TX, USA
In-Office
76K-175K Annually
Mid level
Computer Vision • Hardware • Mobile • Software • Semiconductor
The Role
Develop scalable ML pipelines and abnormality detection for time-series semiconductor data, apply control-theory analytics, perform root-cause analysis, deploy predictive models, and collaborate cross-functionally within an Agile team to improve yield and process stability.
Summary Generated by Built In

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. 

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. 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. 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.
We are looking for an adaptable problem-solver who thrives in an environment of autonomy and collaboration. 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. 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.

Role and Responsibilities

Here’s What You’ll Be Responsible For:

  • Develop and optimize abnormality detection algorithms of time-series data to monitor diverse semiconductor data sources.

  • Model control theory applications to optimize process stability, with a focus on incorporating advanced analytics & ML.

  • Manage all stages of the ML development pipeline, from data ingestion and feature engineering to model deployment.

  • Design and implement the technical architecture required to support scalable ML development and execution.

  • Communicate complex technical findings effectively to both fellow data scientists and cross-functional stakeholders.

  • Collaborate within an Agile framework to translate manufacturing challenges into technical ML solutions.

  • 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.

  • Enhance data collection and processing workflows to create robust, high-quality test datasets that ensure model accuracy, relevance, and integrity.

Skills and Qualifications

Here's what you'll need:

  • Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or equivalent professional experience).

  • 3+ years of professional experience applying machine learning in an industrial setting (5+ years for those without a graduate degree).

  • Strong background in statistics.

  • Expert-level proficiency in PySpark for large-scale data processing.

  • Proven experience implementing abnormality or anomaly detection algorithms, particularly with time-series data.

  • Demonstrated experience working in an Agile development framework.

The current base salary range for this role is between $76,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. 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.

Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.

We offer a comprehensive benefits package, including:

  • Medical, dental, and vision insurance

  • Life insurance and 401(k) matching with immediate vesting

  • Onsite café(s) and workout facilities

  • Paid maternity and paternity leave

  • Paid time off (PTO) + 2 personal holidays and 10 regular holidays

  • Wellness incentives and MORE
     

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.

All positions at Samsung Austin Semiconductor are full-time on-site.

U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice
 By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.


* Samsung Electronics America, Inc. and its subsidiaries are committed to 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.

Skills Required

  • Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or equivalent professional experience).
  • 3+ years of professional experience applying machine learning in an industrial setting (5+ years for those without a graduate degree).
  • Strong background in statistics.
  • Expert-level proficiency in PySpark for large-scale data processing.
  • Proven experience implementing abnormality or anomaly detection algorithms, particularly with time-series data.
  • Demonstrated experience working in an Agile development framework.

Samsung Electronics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Samsung Electronics and has not been reviewed or approved by Samsung Electronics.

  • Parental & Family Support Paid parental leave of up to 14 weeks is offered in U.S. entities, alongside family‑building support, caregiver resources, and adoption assistance. Semiconductor sites note fully paid parental leave for eligible employees and targeted programs for pregnancy and infant care.
  • Leave & Time Off Breadth Generous PTO equivalent to about 20 days per year for full‑time U.S. employees, increasing with tenure, is paired with company holidays. Some entities also promote flexible time initiatives and paid volunteer time.
  • Retirement Support Semiconductor units publicly detail a 401(k) match with immediate vesting, and other U.S. entities highlight strong retirement support. Additional financial programs such as student‑loan repayment and charitable‑gift matching bolster long‑term savings.

Samsung Electronics Insights

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The Company
HQ: Suwŏn
145,454 Employees
Year Founded: 1969

What We Do

Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, network systems, medical devices, semiconductors and LED solutions. Samsung is also leading in the Internet of Things space through, among others, our Smart Home and Digital Health initiatives. Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth.

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