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

Data Science Tutor

Round Rock, TX · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

Austin, TX · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

San Marcos, TX · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Collaborate with Software Engineers and Data Scientists. * Document experiments, model performance, and technical findings. Required Qualifications * Pursuing a Bachelor''s or Master''s degree in ...

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Graduate Data Science Intern information

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

As of Jul 20, 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, and why are they important?

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:
Intern, Applied Sports Science

Intern, Applied Sports Science

University of Texas at Austin

Austin, TX • On-site

$15 - $19.75/hr

Other

Retirement

This job post has expired today. Applications are no longer accepted.


University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

137th of 555 rated colleges and universities


Job description

Job Posting Title:

Intern, Applied Sports Science

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Hiring Department:

Intercollegiate Athletics

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

27

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FLSA Status:

Non-Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Jan 21, 2026

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes:

Texas Athletics will define what it means to be the world's best intercollegiate athletics program, instilling passion, knowledge, and character for all student-athletes to compete to win, to succeed academically, to achieve their dreams in life, and to contribute to society. Our mission is to prepare students to win with integrity-in academics, in athletics and in life.

Purpose:

The Applied Sports Science Intern will play a vital role in an information system supporting evidence-based decisions regarding the performance and health of student-athletes. We are committed to the application of the latest in human performance research for the enhancement of student-athlete health and development. This internship will support our mission of providing coaches and trainers with unique, accurate and actionable feedback in a timely manner. As an intern, you will be actively involved in supporting student-athlete growth and development using performance assessments, athlete monitoring and education. You will collaborate closely with the sports science staff, developing insights, facilitating rehabilitation progression and return-to-play strategies. This internship offers a unique opportunity to gain hands-on experience and develop your skills in a high-performance setting.

Responsibilities:

  • Assist and potentially lead data collection, analysis, and communication within a comprehensive athlete monitoring system under structured oversight.
  • Technologies used include but are not limited to Smartabase, Catapult, VALD, Elite Form, Body Weights, and Subjective Questionnaires.
  • Collaborate with athletic medicine, sport performance, nutrition, behavior health, and coaching staff to optimize athlete health, wellness, and performance.
  • Contribute insights within the Applied Sports Science Department.
  • Opportunity to contribute to performance science including: data collection, data security, analysis, and results presentation.
  • Perform other duties as assigned
  • Consistently exemplify the core values and quality service standards of Texas Athletics. Always act ethically. Proactively seek guidance when unsure or unclear of a law, rule or policy applicable to you or your department/sport program. Actively participate in assigned education and training programs. Comply with all laws, policies, rules and regulations set forth by the Board of Regents of The University of Texas System, The University of Texas at Austin, NCAA, Conference, or other governing body, including state and federal laws.Annually obtain prior written approval and report all outside activities and outside income. Report knowledge of, or reasonable cause to believe, violation(s) of state or federal laws, policies, rules, or regulations of the University, Conference, or NCAA to IA ARMCS or IA HR.Fully cooperate with any investigation by providing complete and accurate information when requested to do so by Texas Athletics and/or the NCAA and do not influence others in any way during an investigation. In compliance with Title IX of the Education Amendments of 1972 and Texas Education Code Sec. 51.252, this position may be a Non-Confidential Employee as defined by University policies on Sex Discrimination, Sexual Harassment, Sexual Assault, Interpersonal Violence and Stalking. As a Non-Confidential Employee, individuals employed in this position will report incidents of such prohibited conduct to the University's Title IX Coordinator or Deputy Title IX Coordinator as required by applicable law or University policy. An employee who does not report an incident or who makes a false report is subject to termination and may be charged with a criminal offense (Class A or Class B misdemeanor). For more information about employee responsibilities under Title IX, including information about confidential employee reporting exceptions, please visit the Title IX website at http://titleix.utexas.edu.

Required Qualifications:

  • Working towards a degree in kinesiology, sports science, sports analytics, data analytics, or a related field.
  • Experience with database management, analysis, and visualization (knowledge of Excel).
  • Demonstrated experience with independent sports science projects.
  • Ability to effectively communicate sports science data and information to strength & conditioning, sports medicine, coaching staff, and athletes
  • Relevant education and experience may be substituted as appropriate.

Salary Range:

  • Unpaid Internship

Working Conditions:

  • Repetitive use of a keyboard at a workstation
  • Use of manual dexterity
  • Climbing of stairs
  • Must be able to lift more than 50 lbs. and stand for extensive amounts of time
  • May work around standard office conditions

Work Shift:

  • Monday through Friday
  • Work times vary
Required Materials
  • Resume/CV

  • Professional References

Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.

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Retirement Plan Eligibility:

This position is not eligible for a retirement plan.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.


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