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Data Science Associate Jobs in Austin, TX (NOW HIRING)

Infosys is a global leader in digital services and consulting, and they are seeking an Associate to ... • Data Science • Computer Engineering • or other related fields Company : Infosys is a ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Join Natera's Bio Development team as an Associate Scientist to design, optimize, and validate ... Analyze experimental data using advanced analytical tools, providing data-driven insights and ...

AI Solutions Architect

Austin, TX · On-site

$62.50 - $82.25/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

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Data Science Associate information

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$57K

$67.4K

$127.9K

How much do data science associate jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data science associate in Austin, TX is $67,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $59,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData 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; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Austin, TX? The most popular types of Data Science jobs in Austin, TX are:
What are popular job titles related to Data Science Associate jobs in Austin, TX? For Data Science Associate jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Austin, TX look for? The top searched job categories for Data Science Associate jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Science Associate jobs? Cities near Austin, TX with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,441 per year, or $32.4 per hour.
Research Engineering/ Scientist Associate II

Research Engineering/ Scientist Associate II

University of Texas at Austin

Austin, TX • On-site

$52K/yr

Other

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

134th of 546 rated colleges and universities


Job description

Job Posting Title:

Research Engineering/ Scientist Associate II

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Hiring Department:

Molecular Biosciences

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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 May 26, 2027

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Location:

AUSTIN, TX

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Job Details:

Purpose

The position involves plant propagation, tissue Culture, transformation and genome editing expert.

Responsibilities
  • Establish and maintain a propagation, regeneration, maintenance, and transformation and genome-editing pipelines for our model amphibious plant Rorippa aquatica (and related species), maintain growth rooms/chambers. Perform histology and microscopy to examine the phenotypes of the transgenic/genome edited plants.

  • Perform molecular biology experiments to design, construct, and analyze vectors and plasmids for transformation. Perform genotyping, genome sequencing as required. Maintain and organize laboratory stocks of DNA, E.coli, yeast, and plant seeds under the supervision.

  • Assist fundamental, basic tasks for the operation of molecular biology research. Duties include washing and sterilizing laboratory glassware and, making chemical solutions and cell/bacterial culture media, organize chemical inventories, purchase and stock chemical and consumable inventories. Assist Purchase Order and other lab management tasks, including maintenance of equipment related to the research.

  • Read and record instrument data; tabulate data; Analyze data; keep laboratory records and Lab Notebooks with high ethical standard. Organize and manage data as required by the guidelines. Perform basic bioinformatics pipelines as required for the research project.

  • Write reports, meet regularly with the PI and team members to communicate research updates; participate and present at the lab meetings and other professional scientific conferences, assist grant applications as well as manuscript submission.

  • Mentor and train junior researchers (e.g. undergraduates and starting technicians) with basic lab competency tasks as well as plant tissue culture, transformation, and regeneration.

Required Qualifications

Masters of Science degree in a relevant field, with demonstrated hands-on experience in plant tissue culture, plant transformation and/or genome editing, maintenance and husbandry of large number of plant strains and transgenic lines. A Bachelor of Science degree may be considered for candidates who can demonstrate 2-4 years of directly related research experience in these areas. Proven ability to work in a research environment, including maintaining detailed records, managing multiple duties simultaneously, and following established protocols with precision. Strong organizational skills and the ability to remain focused, motivated, and responsible while working both independently and as part of a team. Excellent communication skills, including the ability to collaborate effectively with lab members and provide regular, clear updates to the Principal Investigator.

Preferred Qualifications

Preferred qualifications include proficiency in molecular biology techniques such as vector and plasmid construction, along with experience in microscopy and histology and relevant biochemical methods. A strong scientific foundation in plant genetic engineering is also preferred. Candidates should demonstrate an ability to apply underlying scientific principles to their work, maintain accurate documentation, and prepare routine reports. The ideal candidate actively seeks opportunities to expand their skills, can learn complex tasks with general instruction, and uses prior experience to adapt to new techniques effectively.

Salary

$52,000 + depending on qualifications

Working Conditions
  • Personal protection equipment (furnished)

  • May work around chemical fumes

  • May work around standard office conditions

  • May work around biohazards

  • May work around chemicals

Required Materials
  • Resume/CV

  • 3 work references with their contact information; at least one reference should be from a supervisor

  • Letter of interest

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:

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.

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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.

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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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