Senior Data Science Engineer Jobs in Arkansas
Senior Data Science Engineer jobs in Arkansas are concentrated in Little Rock, Fayetteville, and Bentonville, where employers across retail technology, healthcare analytics, and financial services maintain active data science teams. Walmart's global technology division in Bentonville, Arkansas Blue Cross Blue Shield in Little Rock, and Dillard's corporate technology group are among the established employers hiring at the senior level. The most in-demand specialties are machine learning engineering, predictive analytics, and data platform architecture. Scan the live roles below and apply to whichever ones fit.
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Position Summary...
What you'll do...
Role summary:The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust models that drive strategic business decisions. This role requires expertise in statistical modeling, machine learning, and data visualization to translate complex data into actionable insights. The position involves guiding teams in feature engineering, model tuning, and scalable deployment while collaborating with cross-functional partners to align solutions with business objectives. The role also emphasizes mentoring associates, ensuring adherence to best practices, and fostering continuous improvement to support Walmart’s commitment to innovation and operational excellence.
About the team:
Our team is committed to delivering fresh groceries nationwide at affordable prices by utilizing advanced data science and machine learning techniques. We develop robust analytical models, conduct thorough data validation, and create insightful visualizations to support informed business decisions. Collaborating across functions, the team applies expertise in Python, SQL, and data visualization tools to drive innovative solutions. Focused on continuous improvement and excellence, the team fosters a collaborative environment that encourages knowledge sharing and the application of best practices to effectively meet customer needs.
What you'll do:
- Lead the development, assessment, and validation of advanced analytical models, ensuring accuracy, robustness, and alignment with business objectives.
- Guide feature engineering, exploratory data analysis, and application of machine learning techniques to solve complex problems with structured and unstructured data.
- Design and implement data visualization strategies to effectively communicate insights and model outcomes to stakeholders.
- Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
- Oversee model deployment, monitoring, and continuous improvement in production environments.
- Mentor and develop team members, fostering technical expertise and best practices.
What you'll bring:
- Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of model assessment, validation, and tuning methods to ensure accuracy and robustness.
- Ability to translate complex business requirements into actionable data science solutions aligned with strategic goals.
- Expertise in exploratory data analysis, feature engineering, and deployment of scalable models in production environments.
- Proven leadership skills in mentoring and guiding teams on advanced analytics and modeling best practices.
- Effective communication skills to present insights and influence stakeholders using data-driven storytelling.
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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, PhD 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, Supervisory experience, 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.Primary Location...
805 Respect, Bentonville, AR 72716, 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.See All 12 Senior Data Science Engineer Jobs in Arkansas
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Find JobsSenior Data Science Engineer Jobs by City in Arkansas
Where Arkansas roles are concentrated, by current openings.
Senior Data Science Engineer Job Market in Arkansas
A snapshot from current Arkansas openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Retail
What Arkansas Employers Look For
The qualifications that appear most often in senior data science engineer jobs across Arkansas.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of experience in data science or machine learning engineering roles
- Proficiency in Python, SQL, and at least one major ML framework such as TensorFlow or PyTorch
- Demonstrated experience deploying and maintaining models in cloud environments such as AWS or Azure
- Strong communication skills for translating analytical findings to non-technical Arkansas business stakeholders
- Experience leading cross-functional data projects and mentoring junior data science team members
Senior Data Science Engineer Jobs in Arkansas: Frequently Asked Questions
How do you become a senior data science engineer in Arkansas?
The most direct path is earning a bachelor's or master's degree in computer science, statistics, or a quantitative field, then building several years of hands-on experience in data science or machine learning engineering roles. Arkansas does not require a state-issued license for this role. Employers in Little Rock's healthcare sector and Bentonville's retail technology corridor typically look for candidates with a strong portfolio of deployed models and demonstrated leadership on data projects.
How much do senior data science engineers make in Arkansas?
Senior data science engineers in Arkansas earn a median of about $109,390 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $67,090 for the lowest 10% to over $169,110 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior data science engineers in Arkansas?
Employers hiring senior data science engineers in Arkansas right now include Walmart and Sam's Club, based on current listings on Migrate Mate as of October 2026. Arkansas's retail technology hub in Bentonville and its growing healthcare analytics sector in Little Rock drive consistent senior-level demand across the state.
Which Arkansas cities have the most senior data science engineer jobs?
Bentonville account for the largest share of senior data science engineer openings in Arkansas. Little Rock's concentration of healthcare systems, state government technology offices, and financial institutions anchors most of the capital-region demand, while Bentonville and the broader Northwest Arkansas corridor generates significant openings through Walmart's global technology division and its large ecosystem of retail and logistics technology suppliers.
How can I get hired as a senior data science engineer in Arkansas with little or no experience?
The most realistic entry point is a data analyst or junior data scientist role at one of Arkansas's major employers, then building toward the senior level through demonstrated project impact. Walmart's technology division and Arkansas Blue Cross Blue Shield both run early-career and new-graduate programs in data and analytics. A strong portfolio of personal or open-source machine learning projects, combined with cloud certification from AWS or Google, gives candidates without formal work history a credible edge when applying to Arkansas's retail technology and healthcare analytics teams.
Where can I find and apply to senior data science engineer jobs in Arkansas?
You can find and apply to senior data science engineer jobs in Arkansas on Migrate Mate, which lists current openings tied to the state. Search the available roles, identify the ones that match your background and preferences, and apply directly to whichever positions fit.
See All 12 Senior Data Science Engineer Jobs in Arkansas
Find roles in Arkansas that match your experience and apply in just a few clicks.
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