1

Data Visualization Engineer Jobs in Arkansas (NOW HIRING)

(USA) Data Scientist III

Lowell, AR · On-site

$90K - $180K/yr

The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy. Collaborating across functions, the Data Scientist III ...

(USA) Data Scientist III

Farmington, AR · On-site

$90K - $180K/yr

The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy. Collaborating across functions, the Data Scientist III ...

Showing results 21-40

Data Visualization Engineer information

See Arkansas salary details

$36.8K

$107.3K

$146.8K

How much do data visualization engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data visualization engineer in Arkansas is $107,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $113,700.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

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

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in Arkansas?

The most popular types of Data Visualization Engineer jobs in Arkansas are:

What are popular job titles related to Data Visualization Engineer jobs in Arkansas?

For Data Visualization Engineer jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Data Visualization Engineer jobs in Arkansas look for?

The top searched job categories for Data Visualization Engineer jobs in Arkansas are:

Infographic showing various Data Visualization Engineer job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $107,263 per year, or $51.6 per hour.

(USA) Data Scientist III

Lowell, AR • On-site

Sam's Club
Retail • 10K+ employees

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Key responsibilities

  • Apply advanced statistical, analytical, and machine learning techniques to solve merchandising, pricing, and member behavior challenges.

  • Develop and maintain predictive and descriptive models to support decision-making, demand forecasting, and business planning initiatives.

  • Create dashboards, visualizations, and reports to communicate insights, performance trends, and business recommendations.


Sam's Club rating

6.5

Company rating: 6.5 out of 10

Based on 2,043 frontline employees who took The Breakroom Quiz


Job description

Position Summary... What you'll do...Role summary:
The (USA) Data Scientist III plays a critical role in leveraging advanced analytical and statistical methods to extract actionable insights from complex data sets. This position involves developing, validating, and deploying predictive models while ensuring data quality and governance standards are met. The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy. Collaborating across functions, the Data Scientist III contributes to solving business challenges by applying rigorous data science techniques and mentoring team members to enhance analytical capabilities and drive impactful outcomes.
About the team:
The merchandising analytics team transforms complex data into actionable insights that guide product selection, placement, and pricing strategies to improve business outcomes. Leveraging advanced data science, machine learning, and predictive modeling with tools such as Python and data visualization platforms, the team builds scalable analytical models. Collaborating closely with business stakeholders, members ensure alignment with organizational goals by delivering clear, impactful insights. The team supports continuous improvement and informed decision-making across merchandising functions, driving data-driven strategies that contribute to overall business success.
What you'll do:
  • Apply advanced statistical, analytical, and machine learning techniques to solve merchandising, pricing, and member behavior challenges.
  • Conduct exploratory data analysis and develop data-driven insights to identify opportunities related to assortment, pricing, promotions, and category performance.
  • Partner with merchandising, pricing, and cross-functional teams to translate business objectives into analytical frameworks and actionable recommendations.
  • Develop and maintain predictive and descriptive models to support decision-making, demand forecasting, pricing optimization, and business planning initiatives.
  • Utilize tools and programming languages such as Python, SQL, and cloud-based data platforms to extract, analyze, and optimize large datasets.
  • Create dashboards, visualizations, and executive-ready reports to communicate insights, performance trends, and business recommendations effectively.

What you'll bring:
  • Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data ecosystems.
  • Proficiency in statistical methods, exploratory data analysis, and hypothesis testing to derive actionable business insights.
  • Strong programming skills in Python and SQL for developing, testing, and deploying analytical models and data solutions.
  • Experience with machine learning techniques including predictive modeling, and large language modeling.
  • Ability to translate complex business requirements into data-driven solutions using big data analytics and cloud platforms such as Databricks and Big Query.
  • Skilled in data visualization tools like Power BI to effectively communicate findings and influence decision-making.
At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
-Health benefits include medical, vision and dental coverage
-Financial benefits include 401(k), stock purchase and company-paid life insurance
-Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

‎ 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Bachelors: Analytics, Bachelors: Economics, Bachelors: Mathematics, Bachelors: Statistics, Doctorate: Analytics, Doctorate: Economics, Doctorate: Mathematics, Doctorate: Statistics, Masters: Analytics, Masters: Economics, Masters: Mathematics, Masters: Statistics Business Analytics - Certification, Data Mining - Certification, Statistical Analysis - CertificationPrimary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Sam's Club employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom