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Associate Data Scientist Jobs in Georgetown, TX (NOW HIRING)

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

... OR -Associate's Degree in computer science or related field AND one (1) year of additional ... Azure Data Engineer Associate (DP-203) (Within 6 Months) Employment Type: FULL_TIME

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

... OR -Associate's Degree in computer science or related field AND one (1) year of additional ... Azure Data Engineer Associate (DP-203) (Within 6 Months) Employment Type: FULL_TIME

Research Scientist Associate II

Austin, TX · On-site

$58.50 - $71.50/hr

Research Scientist Associate II Hiring Department: Bureau of Economic Geology Position Open To: All ... Drafting and producing geologic maps, reports, and data associated with mineral resource projects ...

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Showing results 21-40

Associate Data Scientist information

See Georgetown, TX salary details

$53.4K

$63.2K

$119.9K

How much do associate data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for associate data scientist in Georgetown, TX is $63,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $55,300.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Georgetown, TX?

The most popular types of Data Scientist jobs in Georgetown, TX are:

What are popular job titles related to Associate Data Scientist jobs in Georgetown, TX?

For Associate Data Scientist jobs in Georgetown, TX, the most frequently searched job titles are:

What cities near Georgetown, TX are hiring for Associate Data Scientist jobs?

Cities near Georgetown, TX with the most Associate Data Scientist job openings:

Infographic showing various Associate Data Scientist job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $63,216 per year, or $30.4 per hour.

Social Science/Humanities Research Associate III

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 9 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

128th of 628 rated colleges and universities


Job description

Job Posting Title:
Social Science/Humanities Research Associate III
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Hiring Department:
Population Research Center
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
UT MAIN CAMPUS
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Job Details:
General Notes
This position is currently funded for 1 year from start date.
What benefits do I receive with UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards.
For more information about the College of Liberal Arts, please visit: https://liberalarts.utexas.edu/.
Our college seeks to build a supportive, growth-minded community and cultivate outstanding and courageous leaders. For more information on the college staff leadership academy, please visit: https://liberalarts.utexas.edu/resources-for-faculty-staff/staff-leadership-academy/.
For more information on college staff professional development, please visit: https://wikis.utexas.edu/display/larc/Staff+Professional+Development+Fund.
Purpose
The Social Science/Humanities Research Associate III will work with Dr. Legare and a team of postdoctoral researchers, graduate students, and undergraduate research assistants to lead the research and administrative operations of the Center for Applied Cognitive Science (CACS). CACS is a multi-disciplinary center that advances global cognitive science by connecting researchers in the biological, cognitive, social, and educational sciences with practitioners, designers, and community partners, harnessing insights about how the mind works to advance the science of learning and design more effective behavioral and social change interventions.
The Center conducts interdisciplinary, comparative research using mixed methodologies that emphasize community engagement and international development. Its work spans public health, education, cognitive science, and child development, and includes projects such as Learning to Innovate (jointly funded by UKRI/ESRC and NSF), the NSF AccelNet-funded Cultures of Learning global network, ed tech collaborations, and museum-university-community research partnerships.
The position combines hands-on research support with administrative leadership. The Coordinator will develop standardized procedures for data collection, coding, quality control, and management; conduct data analysis for ongoing studies; and run the Center's day-to-day operations, coordinating personnel, timelines, budgets, compliance, and communications with domestic and international collaborators, funders, and community partners. Candidates must have a demonstrated interest in human subjects research and a background in both data science and research administration.
Responsibilities
  • Become deeply familiar with the design and data of the Center's research projects, including Learning to Innovate, the Cultures of Learning network, and ed tech collaborations
  • Develop and implement standard operating procedures for data collection, coding, file management, and quality assurance across projects, including cross-cultural and community-based studies
  • Conduct data analysis for ongoing studies, from data cleaning through descriptive and inferential statistics, and prepare results for reports, presentations, and publications
  • Train and supervise undergraduate research assistants, in collaboration with graduate students, in coding observational and behavioral data (e.g., video of parent-child interactions)
  • Coordinate the research team, delegating tasks and setting deadlines to keep projects on track
  • Manage day-to-day administrative operations, including scheduling, record keeping, and internal and external communications
  • Manage Institutional Review Board (IRB) protocol submissions, amendments, renewals, and compliance, including for international research sites
  • Support grant and budget administration with department staff, including purchasing, reimbursements, and expense tracking
  • Onboard and offboard personnel and maintain Center documentation, shared resources, and website content
  • Serve as primary liaison to collaborators and funders-including museum, school, health, ed tech, and international partners-providing progress updates and attending project meetings

Required Qualifications
  • Bachelor's degree in a relevant discipline (e.g., Psychology, Education, Cognitive Science, Data Science, Information Science, Public Health, Computer Science)
  • At least 4 years of experience in a research lab (Psychology, Education, or related), including conducting human subjects research
  • Background in data science, including quantitative analysis with statistical software (e.g., R, Python, SPSS, or Stata) and building and maintaining data infrastructure
  • Background in research administration, such as scheduling, record keeping, purchasing, or compliance
  • Excellent organizational skills and attention to detail
  • Strong leadership and communication skills, with experience leading a team

Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
  • Master's degree in a relevant discipline (e.g., Psychology, Education, Cognitive Science, Public Health, Data Science, Information Science, Computer Science) with 2 years of related experience
  • Experience with cross-cultural, community-based, or international research
  • Experience preparing IRB protocols and managing research compliance
  • Experience with grant administration or budget tracking in a university setting
  • Advanced proficiency in statistical programming (e.g., R and/or Python), including data pipelines and reproducible analysis workflows

Salary Range
  • $50,000 + depending on qualifications

Working Conditions
  • Typical Office/Lab Environment
  • Occasional work will be done at community partner sites (e.g., museums and schools)

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.
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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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