1

Intern Data Scientist Machine Learning Jobs in Austin, TX

Data Scientist

Taylor, TX · On-site

$76 - $145/hr

Position Summary As a Data Scientist at Samsung Austin Semiconductor, you will play a critical role ... By designing and implementing scalable machine learning pipelines, you will help reduce ...

New

Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate ... As a Data Scientist, AI/ML Model Quality, you will build and maintain intelligent systems ...

New

Data Scientist

Taylor, TX · On-site

$76K - $174K/yr

Position Summary As a Data Scientist at Samsung Austin Semiconductor, you will play a critical role ... By designing and implementing scalable machine learning pipelines, you will help reduce ...

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... Machine Learning, Data Science, or a related field. * Knowledge of Python programming.

Develop and implement advanced data science models, including deep learning, machine learning, recommendation systems, and generative models. * Lead and provide direction to technical data science ...

Develop forecasting, machine learning, and optimization models that improve business performance ... in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or a ...

Develop and implement advanced data science models, including deep learning, machine learning, recommendation systems, and generative models. * Lead and provide direction to technical data science ...

... Data Mining and Machine Learning Ranjith Saxon Global Inc Direct: 972-573-3644 Desk: 972-363-1009* 218 Qualifications Bachelor's degree in Computer Science field and related field Additional ...

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... Own the analytical loop that influences our Product and Machine Learning strategies. Use data to ...

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... Own the analytical loop that influences our Product and Machine Learning strategies. Use data to ...

Senior Data Scientist

Austin, TX · On-site

$100 - $130/hr

As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our ... Own the analytical loop that influences our Product and Machine Learning strategies. Use data to ...

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field ...

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Serve as the organization's foremost technical expert in applied data science, statistical modeling, and machine learning as they relate to healthcare and population health. * Establish and maintain ...

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Serve as the organization's foremost technical expert in applied data science, statistical modeling, and machine learning as they relate to healthcare and population health. * Establish and maintain ...

Showing results 41-60

Intern Data Scientist Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for intern data scientist machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Austin, TX? The most popular types of Data Scientist Machine Learning jobs in Austin, TX are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Austin, TX? For Intern Data Scientist Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Austin, TX look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Intern Data Scientist Machine Learning jobs? Cities near Austin, TX with the most Intern Data Scientist Machine Learning job openings:

Data Scientist

Socket.dev

Taylor, TX • 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 ResponsibilitiesHere’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 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 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.

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.

#J-18808-Ljbffr