Data Science Engineer Jobs in Arkansas
Data Science Engineer jobs in Arkansas concentrate in retail analytics, supply chain optimization, healthcare informatics, and financial technology, with demand at every level from junior analysts to senior engineers overseeing production machine learning systems. Little Rock, Bentonville, and Fayetteville are the primary hiring metros, anchored by employers such as Walmart, Dillard's, and Arkansas Children's Hospital, all of which maintain active data engineering functions. The most sought-after specialties include MLOps, cloud data pipeline architecture, and applied predictive modeling. Find a role that fits below and apply directly.
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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 :
- Stock
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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.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 :
- Stock
ㅤ
ㅤ
ㅤ
ㅤ
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 Data Science Engineer Jobs in Arkansas
Find roles in Arkansas that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Jobs by City in Arkansas
Where Arkansas roles are concentrated, by current openings.
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 data science engineer jobs across Arkansas.
- Bachelor's degree in computer science, statistics, or a related quantitative field required
- Proficiency in Python or R with hands-on experience building production machine learning models
- Experience designing and maintaining large-scale data pipelines using tools such as Spark or Airflow
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud in a data engineering context
- Strong SQL skills and experience working with relational and distributed database systems
- Ability to communicate analytical findings clearly to non-technical business stakeholders
Data Science Engineer Jobs in Arkansas: Frequently Asked Questions
How do you become a data science engineer in Arkansas?
Arkansas does not require a state-issued license to work as a data science engineer, so the path runs through education and demonstrable technical skill. Most employers in the state expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for senior roles. Building a portfolio of end-to-end projects, contributing to open-source repositories, and earning cloud certifications from AWS or Google Cloud strengthens candidacy considerably with Arkansas hiring teams.
How much do data science engineers make in Arkansas?
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 data science engineers in Arkansas?
Employers hiring 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 and healthcare sectors, particularly companies headquartered in the northwest Arkansas corridor, generate the most consistent demand for data science engineering talent statewide.
Which Arkansas cities have the most data science engineer jobs?
Bentonville account for the largest concentration of data science engineer openings in Arkansas. Little Rock draws demand from state government agencies, healthcare systems, and financial institutions, while Bentonville and Fayetteville are driven heavily by Walmart's global technology division and the dense network of supplier and logistics companies that have built analytics functions to serve it.
How can I get hired as a data science engineer in Arkansas with little or no experience?
The most realistic entry path is securing a junior data analyst or data engineer associate role and building toward the data science engineer title from there. Walmart and Arkansas Children's Hospital both offer new-graduate and rotational technology programs that place candidates in analytics teams without requiring prior industry experience. A strong project portfolio, a relevant internship through the University of Arkansas or Arkansas State University, and a cloud certification in AWS or Azure are the credentials that most consistently open doors with Arkansas hiring managers.
Where can I find and apply to data science engineer jobs in Arkansas?
You can find and apply to data science engineer jobs in Arkansas on Migrate Mate, which lists current openings from employers active in the state. Search the available roles, find the ones that fit your background and target location, and apply directly to the positions that match.
See All 12 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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