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

Senseye

Research Data Analyst

Austin, TX · On-site

This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study.

Senseye

Research Data Analyst

Austin, TX · On-site

This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study.

Senseye

Research Data Analyst

Austin, TX · On-site

This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study.

Victory

Data Scientist

Austin, TX

Research and detect valuable data sources and automate collection processes * Perform preprocessing ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

Victory

Data Scientist

Austin, TX · On-site +1

Research and detect valuable data sources and automate collection processes * Perform preprocessing ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX · On-site

A master's degree ispreferredand adoctoral degree is a plus. * 2 to 6yearsof experience ina research, analytical, or data science role, preferably in a real estate, urban policy, planning, or ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX · On-site

A master's degree ispreferredand adoctoral degree is a plus. * 2 to 6yearsof experience ina research, analytical, or data science role, preferably in a real estate, urban policy, planning, or ...

Central Health

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

... data science, statistical modeling, or quantitative research experience post-PhD, with increasing responsibility and complexity. * 3 years of experience in healthcare, public health, population ...

CommUnityCare

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

... data science, statistical modeling, or quantitative research experience post-PhD, with increasing responsibility and complexity. * 3 years of experience in healthcare, public health, population ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

... data science, statistical modeling, or quantitative research experience post- PhD, with increasing responsibility and complexity. -3 years of experience in healthcare, public health, population ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

... data science, statistical modeling, or quantitative research experience post- PhD, with increasing responsibility and complexity. -3 years of experience in healthcare, public health, population ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

Research and detect valuable data sources and automate collection processes * Perform preprocessing ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

Central Health

Principal Data Scientist

Austin, TX · On-site

... data science, statistical modeling, or quantitative research experience post- PhD, with increasing responsibility and complexity. -3 years of experience in healthcare, public health, population ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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All JobsData Science Research JobsData Science Research Jobs in Austin, TX

Data Science Research information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do data science research jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science research in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

How does a data science researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, employ statistical methods, and work with machine learning algorithms to solve complex problems. Their work typically involves experimentation, data cleaning, and collaboration with other teams to apply findings effectively.

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

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

What are the key skills and qualifications needed to thrive as a data science researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.
What are popular job titles related to Data Science Research jobs in Austin, TX? For Data Science Research jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Research jobs in Austin, TX look for? The top searched job categories for Data Science Research jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Science Research jobs? Cities near Austin, TX with the most Data Science Research job openings:
Data Science Research jobs near you
Infographic showing various Data Science Research job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Research Data Analyst

Senseye

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

About Us
Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first Objective Mental Health Diagnostics on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided and will enable access to treatment for hundreds of millions of sufferers. The Senseye platform has the potential to be the technology that drives this change.
Role Description
We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study. We use AI-assisted tools to help us write analysis code faster and better, but you need a solid grasp of coding and how the code works: as the human in the loop, you have the final say on what gets released and how it is analyzed, and spotting bugs and subtle mistakes is far easier for someone who genuinely understands the code than for someone who relies entirely on AI. You will co-create hypotheses with our senior scientists, own the execution of analyses, and provide the initial interpretation of results: the experimental logic, their validity, and what they actually mean. The signals we work with are small, so every detail matters. The ideal candidate is passionate about being part of an innovative research team, detail-oriented, adaptable, and motivated to grow. You will collaborate with our Research and Data Scientists and be involved in many aspects of our work, from experiment design through analysis and reporting.
Responsibilities
  • Plan and execute analyses of experimental data with support from our research and data science team: co-develop a clear hypothesis, specify expected outcomes, and select appropriate statistical methods before running the analysis.
  • Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests, critically reviewing generated code for correctness.
  • Validate results end to end: check data quality, verify assumptions, spot anomalies and subtle errors, and trace unexpected results to their root cause.
  • Interpret findings in the context of the experimental design, and be clear about what the results do and do not support.
  • Present results of analyses to team members on an ongoing basis.
  • Write clear, well-organized analysis reports documenting methods, results, and interpretation.
  • Prepare, maintain, and update technical documentation.
  • Attend weekly project meetings and collaborate closely with data science and research team members through study design, execution, analysis, and interpretation.
  • Other duties and responsibilities may be assigned by research supervisors.

Requirements
  • Bachelor's degree in Neuroscience, Psychology, Computer Science, Statistics, Data Science, or a related quantitative or bioscience field.
  • Working proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, Matplotlib) for data analysis and statistical work.
  • A solid understanding of the research workflow: experimental design, hypothesis formulation, execution, analysis, and interpretation of results.
  • The ability to critically evaluate analysis code and outputs - catching small errors matters, because the effects we measure are small.
  • Strong attention to detail and a root-cause mindset: you don't stop at "this looks wrong" - you dig in and find out why.
  • Clear written communication and the ability to produce readable reports of methods and findings.
  • Motivation to learn and improve. You don't need to be an expert in any one field, but you should be eager to build on your skills.
  • An outside-the-box mindset: we don't need a robot - we want someone willing to take risks, try new approaches, and push an analysis beyond what an AI prompt hands back, because you care to understand what's really going on.
Nice to Have
  • Master's degree in Computer Science, Statistics, Data Science, Neuroscience, Psychology, or a related field.
  • Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication).
  • Experience with research statistics (e.g., parametric, nonparametric, or Bayesian statistics).
  • Experience using AI coding assistants effectively - prompting, reviewing, and correcting generated code.
  • Experience preparing manuscripts for publication.

Benefits
  • The freedom and trust to define your role as we design, build, and ship our products
  • Competitive salary and stock option plan
  • Flexible paid time off (vacation, sick leave, and public holidays)
  • Flexible schedules
  • Company health care plan
    • Medical, dental, and vision insurance
    • Short and long term disability insurance
    • Life insurance policy
  • 401k
  • Commuter benefits for parking, public transit, carshares, etc.
  • Mothers' room
  • Fully stocked kitchen
  • Opportunities for continuing education

The compensation for this role is $65,000-$80,000 annually.
Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.
Senseye logo

About Senseye

Sourced by ZipRecruiter

Industry

Scientific research and development services

Company size

11 - 50 Employees

Headquarters location

Austin, TX, US

Year founded

2015

Social media

Twitter

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