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Data to Insights, UT Austin

Assistant Data Scientist

Remote (US Only)

March 12

Job Posting Title:

Assistant Data Scientist


Hiring Department:

Data to Insights


Position Open To:

All Applicants


Weekly Scheduled Hours:



FLSA Status:



Earliest Start Date:



Position Duration:

Expected to Continue Until Aug 31, 2026





Job Details:

General Notes

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university’s mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you’re the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note that this position is currently funded through August 31, 2026

The University of Texas at Austin provides an outstanding benefits package to staff, including: 

  • Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) 
  • Vision, dental, life, and disability insurance options 
  • Paid vacation, sick leave, and holidays 
  • Teachers Retirement System of Texas (a defined benefit retirement plan) 
  • Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) 
  • Flexible spending account options for medical and childcare expenses 
  • Training and conference opportunities 
  • Tuition assistance 
  • Athletic ticket discounts 
  • Access to UT Austin's libraries and museums 
  • Free rides on all UT Shuttle and Capital Metro buses with staff ID card 

For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards 

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses).


We are seeking an Assistant Data Scientist to join the D2I Analytics team.

As an Assistant Data Scientist, you develop and build high-quality, nuanced, and timely data analytics to empower strategic decisions and policies by University leadership and stakeholders. This position supports strategic analytics projects for decision-makers within the Provost’s Office, the President’s Office, and other University leadership.


Data and Statistical Analysis:

  • Develops and maintains descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other analytical tools to provide University leadership and various stakeholders with necessary data to support decision-making.
  • Applies advanced statistical modeling, reusable and scalable coding, data visualization techniques, and other analytical skills to translate business logic and produce deliverables in response to executive leadership’s requests.
  • Provides advanced interpretation of complex analyses and data. Engages in summarizing, writing up, and presenting findings. Provides practical implications and applied suggestions.
  • Engages in (and automates where possible) best practices for data-detailed activities, such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use.
  • Assists with special projects and ad hoc data requests as needed.

Collaboration, Communication, & Institutional Knowledge:

  • Works both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.
  • Engages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.
  • Effectively communicates project status, progress, risks, and issues to drive project to completion.
  • Develops an in-depth knowledge of university data processes.
  • Handles confidential information with tact and discretion.
  • Implements best practices for data governance, data management, project management, and version control.

Required Qualifications

  • Master’s degree with advanced quantitative experience (e.g., social sciences, statistics, applied mathematics, economics, etc.).
  • Five years of professional experience with data analysis/research, data communications/writing/editing and interpretation of data.
  • Expert in data analysis, with demonstrated passion for using data to answer questions and solve problems.
  • Proven ability to synthesize complex and/or ambiguous information from multiple sources using a variety of tools and techniques to transform that information into consumable insights.
  • Expertise in using at least one data/statistics syntax language (e.g., R, Python, MATLAB) to query large databases, manipulate, and analyze data.   
  • Experience with advanced statistical methods (e.g., generalized linear models, factor analysis, SVMs, ROCs).
  • Demonstrated experience in managing and implementing a data-research project from conception to presentation.
  • Excellent interpersonal skills to positively contribute to collaborative team, influence without authority, and thoughtfully and productively give and receive feedback.
  • Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously.
  • Excellent written and verbal communication skills, critical thinking and creative problem-solving, rigorous documentation habits, and attention to detail.
  • Demonstrated ability to maintain a high level of professionalism.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

  • Doctoral degree with data analysis and applied statistics experience.
  • Demonstrated research-mindset: the ability to interrogate a business question, design and implement an analytical approach, interpret the analysis, and communicate the analysis to stakeholders.
  • Comfort with ambiguity. Proficiency in R language, ggplot2, and R markdown/Quarto.
  • Experience using Agile methodologies, Jira project management software, and GitHub for version control and code review.
  • Experience with higher education data, processes, and progress.
  • Knowledge of federal education law and policies related to education records.

Salary Range

$88,000 + depending on qualifications

Working Conditions

  • Typical office environment
  • Repetitive use of a keyboard
  • Occasional extended work hours or on-call obligation
  • Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence.

Required Materials

  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for 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 that ALL Required 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 questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.


Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.


Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.


Background Checks:

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


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.


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.


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.



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:



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.