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Data Science Jobs in Austin, AR (NOW HIRING)

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

ACT Science Tutor

Conway, AR ยท Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Middle School Science Tutor

Conway, AR ยท Remote

$18 - $40/hr

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Earth Science Tutor

Conway, AR ยท Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Python Tutor

Conway, AR ยท Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

... data, and constructing evidence-based political arguments. Emphasizes critical analysis of ... Familiar with political science curricula at introductory and upper-division levels and common ...

NGA AI Engineer Manager

Little Rock, AR ยท On-site

$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 ...

High School Science Tutor

Conway, AR ยท Remote

$18 - $40/hr

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

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 ...

AI Solutions Engineering Delivery Lead

Little Rock, AR ยท On-site

$98K - $129K/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 ...

Showing results 21-40

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 7, 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.
What cities near Austin, AR are hiring for Data Science jobs? Cities near Austin, AR with the most Data Science job openings:
Infographic showing various Data Science job openings in Austin, AR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $103,923 per year, or $50 per hour.

Director Business Management & Data Products - Growth Analytics

Hispanic Alliance for Career Enhancement

Little Rock, AR โ€ข On-site

$144.20 - $288.40/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

We're building a world of health around every individual โ€“ shaping a more connected, convenient and compassionate health experience. At CVS Healthยฎ, youโ€™ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger โ€“ helping to simplify health care one person, one family and one community at a time.

Position Summary

As the Director, Business Management & Data Products โ€“ Growth Analytics, you will serve as a strategic partner to Growth Analytics leadership, helping shape organizational strategy, inform key business decisions and drive execution of critical priorities. In this highly visible role, you will lead executive-facing initiatives including performance scorecards and reporting, leadership communications and townโ€‘hall content, financial planning and modeling, workforce and headcount management, and employee engagement and culture programs. You will also own the vision, roadmap, prioritization and delivery of AIโ€‘ and analyticsโ€‘driven data products that enable business insights and accelerate decisionโ€‘making across the organization. You will be accountable for product outcomes, stakeholder alignment and the successful development and adoption of innovative data solutions.

Key Responsibilities
  • Partner with Growth Analytics leadership to drive strategic initiatives and lead highโ€‘impact projects, including executive presentations, business reviews, innovation workshops and leadership communications.
  • Develop executiveโ€‘facing scorecards, dashboards and performance reporting that enable dataโ€‘driven decisionโ€‘making and provide visibility into organizational priorities and outcomes.
  • Support business management activities, including financial planning and modeling, workforce planning, headcount management and operational reviews.
  • Foster a highโ€‘performing and inclusive Growth Analytics culture by leading organizational initiatives, employee engagement programs, team events and changeโ€‘management efforts.
  • Define and communicate a clear vision, strategy and roadmap for Growth Analytics data, analytics and AIโ€‘powered products, ensuring alignment with organizational objectives and business priorities.
  • Own the endโ€‘toโ€‘end product lifecycle for analytics and AIโ€‘driven solutions โ€“ from opportunity identification and prioritization through delivery, adoption and measurement of business impact.
  • Partner closely with data engineers, data scientists, analytics teams and business stakeholders to deliver scalable products and insights that solve complex business challenges and create measurable value.
  • Establish product success metrics and monitor performance, utilization and outcomes to drive continuous improvement and maximize return on investment.
  • Influence and align crossโ€‘functional stakeholders, balancing competing priorities while driving execution in a fastโ€‘paced and evolving environment.
  • Serve as a trusted advisor to GA leadership, translating strategic goals into actionable plans and ensuring successful execution across the organization.
Required Qualifications
  • 10+ years of experience in Business Management, Strategic Planning or related roles, with a proven track record of driving organizational effectiveness, building scalable processes and delivering executiveโ€‘level presentations and communications.
  • 8+ years of experience leveraging data analytics and financial modeling to influence strategic decisions and drive measurable business outcomes.
  • 7+ years of product management experience leading data, analytics or AIโ€‘driven products in a complex enterprise environment.
  • 6+ years of experience solving complex business problems, with the ability to operate effectively at both strategic and execution levels.
  • 6+ years of experience influencing and partnering with senior leaders and crossโ€‘functional stakeholders through strong communication, storytelling and presentation skills.
  • 4+ years of experience navigating ambiguity and driving alignment in fastโ€‘paced, evolving environments.
  • 4+ years of demonstrated success leading initiatives from concept through execution, consistently delivering highโ€‘quality results on time and achieving measurable business impact.
Preferred Qualifications
  • Experience partnering with data engineers and data scientists to deliver solutions.
  • Experience with AI, analytics or data products.
  • Healthcare industry experience.
Education
  • Bachelorโ€™s degree in Business, Analytics, Data Science, Economics, Finance or a related quantitative field required.
  • Masterโ€™s degree or MBA preferred.
Pay Range

The typical pay range for this role is:
$144,200.00 โ€“ $288,400.00. This range represents the base hourly rate or base annual fullโ€‘time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or shortโ€‘term incentive program in addition to the base pay range listed above. This position also includes an award target in the companyโ€™s equity award program.

Benefits

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This fullโ€‘time position is eligible for a comprehensive benefits package designed to support the physical, emotional and financial wellโ€‘being of colleagues and their families, including medical, dental and vision coverage, paid time off, retirement savings options, wellness programs and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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