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Data Science Jobs in Austin, AR (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Conway, AR · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Little Rock, AR · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Uasys

COSMOS - Data Engineer III

Little Rock, AR · On-site

$109K - $131K/yr

The candidate must have a master's degree in Computer Science, Information Science, or a related discipline; * The candidate must have 2+ years of experience as a data engineer/software developer ...

Uasys

COSMOS - Data Engineer III

Little Rock, AR · On-site

$109K - $131K/yr

The candidate must have a master's degree in Computer Science, Information Science, or a related discipline; * The candidate must have 2+ years of experience as a data engineer, software developer ...

Uasys

COSMOS - Data Engineer II

Little Rock, AR · On-site

The candidate must have a bachelor's degree in Computer Science, Information Science, or a related discipline; * The candidate must have 1+ years of experience as a data engineer, software developer ...

Uasys

COSMOS - Data Engineer I

Little Rock, AR

The candidate must have a bachelor's degree in Computer Science, Information Science, or a related ... Improving data quality and efficiency; * Design and manage data pipelines that encompass the ...

Varsity Tutors

TEAS Tutor

Conway, AR · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

Varsity Tutors

College Computer Science Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

Pwc

Data Engineer - Manager

Little Rock, AR

... Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 5 years of experience What Sets You Apart ...

Pwc

Data Engineer - Senior Associate

Little Rock, AR

$77K - $202K/yr

... Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 2 years of experience What Sets You Apart ...

vTech Solution

Data Entry Operator

Little Rock, AR · On-site

... Scientific & Clinical, etc. for both our commercial and government clients. * Source: A recruiter ... Data entry * Basic Microsoft Office toolkit knowledge Nice to have * Dental or medical claims ...

Varsity Tutors

Elementary School Science Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of life science including plants, animals, and ecosystems, earth science including ... Guides students through forming hypotheses, recording data in journals, comparing and classifying ...

Varsity Tutors

Computer Programming Tutor

Conway, AR · Remote

$18 - $40/hr

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Pwc

CTIO AI Engineering Manager

Little Rock, AR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Element Materials Technology

Data Processor

Conway, AR · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

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All JobsData Science JobsData Science Jobs in Austin, AR

Data Science information

See Austin, AR salary details

$31.8K

$103.9K

$166.4K

How much do data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science in Austin, AR is $103,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $115,200.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs

What cities near Austin, AR are hiring for Data Science jobs?

Cities near Austin, AR with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Austin, AR as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $103,923 per year, or $50 per hour.

Research Health Science Specialist

SD Department of Veterans Affairs

Little Rock, AR • On-site

Part-time

Re-posted 16 days ago

Job description

Please note: There is no pay associated with this position.
This position serves as Without Compensation (WOC) Research Data Scientist within the Office of Research and Development (ORD). The VA Research Program strives to promote Veteran-centered care to improve patient experiences and outcomes across VA healthcare and community settings, and to advance value-driven care by providing Veterans the highest quality care at the lowest financial burden.Qualifications:To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 08/19/2026.
Experience: You must possess general experience defined as: Managing timelines and deliverables for successful completion of projects, writing research policy, presenting findings, providing information to support grants and proposals; performing molecular biology techniques; and using biological datasets for generating reports.
AND
Education: Bachelor's or graduate/higher level degree: major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position. This degree must be from an educational program from an accrediting body recognized by the U.S. Department of Education(external link) at the time the degree was obtained.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Physical Requirements: The work is predominantly sedentary. Typically, the employee sits comfortably to do the work. However, there will be some walking, standing, bending and carrying of items of moderate weight such as large binders, banker style file boxes, meeting materials, papers, books or small parts. Hand and eye coordination for delicate testing procedures may be the only special physical demand required to perform the work.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.Education:A transcript must be submitted with your application if you are basing all or part of your qualifications on education.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER

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