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Graduate Data Science Intern Jobs in Austin, TX (NOW HIRING)

Data Scientist

Taylor, TX ยท On-site

$76 - $145/hr

Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or ... graduate degree). * Strong background in statistics. * Expert-level proficiency in PySpark for ...

New

Data Scientist

Taylor, TX ยท On-site

$76K - $174K/yr

Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or ... graduate degree). * Strong background in statistics. * Expert-level proficiency in PySpark for ...

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test ...

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test ...

Power BI Intern

San Marcos, TX ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Showing results 21-40

Graduate Data Science Intern information

See Austin, TX salary details

$11

$22

$41

How much do graduate data science intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for graduate data science intern in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Austin, TX? For Graduate Data Science Intern jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Graduate Data Science Intern jobs? Cities near Austin, TX with the most Graduate Data Science Intern job openings:
Infographic showing various Graduate Data Science Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Data Scientist

Socket.dev

Taylor, TX โ€ข On-site

$76 - $145/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

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 ResponsibilitiesHereโ€™s What Youโ€™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 QualificationsHere'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 - $145,000. 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 cafรฉ(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 Samsungโ€”or encourage Samsung to useโ€”any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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.

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