Data Scientist Visa Sponsorship Jobs in Arkansas
Data scientist visa sponsorship jobs in Arkansas are concentrated around Little Rock's growing tech and healthcare sectors, with employers like Walmart (headquartered nearby in Bentonville), Dillard's, and Arkansas Blue Cross and Blue Shield historically filing for skilled worker visas. The University of Arkansas also generates demand for data science talent across the state.
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Get Access To All JobsPosition Summary
Walmart’s Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision strategies. This includes data analysis, advanced statistics, case investigation and application of advanced modeling techniques to manage risk on the ecommerce platform. We work alongside business, product, and engineering teams to deliver solutions to manage Marketplace risk.
What You'll Do…
As a Senior Data Scientist, you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You’ll work on high-impact problems that require a mix of rigorous analysis, experimentation, and machine learning. This role is ideal for someone who is comfortable moving between deep analytics and building scalable models in production.
How You'll Make an Impact:
- Develop Risk Mitigation Models using machine learning, anomaly detection, and statistical techniques to identify and respond to emerging risk trends on the Marketplace platform.
- Analyze Risk Patterns by exploring large datasets to uncover emerging fraud tactics, behavioral anomalies, and areas of business exposure.
- Develop Predictive Models using supervised and unsupervised learning techniques to power risk detection systems at scale.
- Lead Deep-Dive Analytics to inform risk policy, product decisions, or operational strategies—identifying key drivers, trends, and optimization opportunities.
- Integrate Agentic AI Frameworks to support semi-autonomous risk detection systems that can adapt and respond to evolving fraud patterns in real-time.
- Explore Generative AI (GenAI) Applications for synthetic data generation, anomaly simulation, or scenario modeling to improve risk model robustness.
- Collaborate Cross-Functionally with product, engineering, and operations teams to ensure seamless integration of data science solutions into business workflows.
- Monitor Model Performance and proactively identify areas for improvement using quantitative metrics, feedback loops, and model diagnostics.
- Bridge Analytics and Science by combining robust data analysis with model development to create solutions that are both explainable and effective.
- Translate Insights into Action by communicating complex analytical findings clearly to both technical and non-technical stakeholders.
- Design and Execute Experiments (e.g., A/B tests, statistical validations) to evaluate model impact and improve decision strategies.
What You'll Bring:
- Strong understanding of machine learning, data exploration, statistical modeling, and their application to risk and fraud detection in digital marketplaces.
- Demonstrated experience developing and deploying models to identify anomalous behavior, detect fraud, or assess risk in real-time systems.
- Proficiency in Python, SQL, and data science libraries/frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Familiarity with Agentic AI systems or AI agents—understanding of how autonomous models can be leveraged in dynamic decision environments.
- Experience conducting experimentation and model validation using rigorous statistical methods (e.g., A/B testing, ROC/AUC, precision/recall).
- A strong problem-solving mindset and ability to translate ambiguous business problems into clear analytical frameworks.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to diverse audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) to craft compelling insights.
Minimum Qualifications:
- Option 1: Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, with 5+ years of hands-on experience in data science, machine learning, or risk management.
- Option 2: Master’s degree in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics) with at least 3+ years of applied experience working on data-driven risk management or fraud prevention.
- Option 3: 6-8 years of direct experience in data science, machine learning, or applied risk management within an e-commerce or marketplace setting.
Preferred Qualifications:
- Expertise in using advanced machine learning techniques such as deep learning, reinforcement learning, or anomaly detection for fraud detection or risk mitigation.
- Understanding of LLMs, agentic workflows, or prompt engineering concepts in the context of AI-enhanced decision systems.
- Experience with big data technologies like Apache Spark, Hadoop, and cloud-based data solutions (e.g., AWS, Google Cloud) to build scalable risk management platforms.
- Proficiency in data manipulation and analysis tools such as Pandas, NumPy, and SQL for data wrangling, feature engineering, and analysis.
- Strong background in model evaluation techniques including ROC/AUC, confusion matrices, precision/recall, and F1 scores, as well as experience with A/B testing and model validation.
At Walmart, 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. 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. Live Better U is a Walmart-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:
- Stock
Primary Location
1601 SE 10th St, 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
Walmart’s Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision strategies. This includes data analysis, advanced statistics, case investigation and application of advanced modeling techniques to manage risk on the ecommerce platform. We work alongside business, product, and engineering teams to deliver solutions to manage Marketplace risk.
What You'll Do…
As a Senior Data Scientist, you will drive both analytical insight and technical model development to detect and mitigate fraud and performance risks. You’ll work on high-impact problems that require a mix of rigorous analysis, experimentation, and machine learning. This role is ideal for someone who is comfortable moving between deep analytics and building scalable models in production.
How You'll Make an Impact:
- Develop Risk Mitigation Models using machine learning, anomaly detection, and statistical techniques to identify and respond to emerging risk trends on the Marketplace platform.
- Analyze Risk Patterns by exploring large datasets to uncover emerging fraud tactics, behavioral anomalies, and areas of business exposure.
- Develop Predictive Models using supervised and unsupervised learning techniques to power risk detection systems at scale.
- Lead Deep-Dive Analytics to inform risk policy, product decisions, or operational strategies—identifying key drivers, trends, and optimization opportunities.
- Integrate Agentic AI Frameworks to support semi-autonomous risk detection systems that can adapt and respond to evolving fraud patterns in real-time.
- Explore Generative AI (GenAI) Applications for synthetic data generation, anomaly simulation, or scenario modeling to improve risk model robustness.
- Collaborate Cross-Functionally with product, engineering, and operations teams to ensure seamless integration of data science solutions into business workflows.
- Monitor Model Performance and proactively identify areas for improvement using quantitative metrics, feedback loops, and model diagnostics.
- Bridge Analytics and Science by combining robust data analysis with model development to create solutions that are both explainable and effective.
- Translate Insights into Action by communicating complex analytical findings clearly to both technical and non-technical stakeholders.
- Design and Execute Experiments (e.g., A/B tests, statistical validations) to evaluate model impact and improve decision strategies.
What You'll Bring:
- Strong understanding of machine learning, data exploration, statistical modeling, and their application to risk and fraud detection in digital marketplaces.
- Demonstrated experience developing and deploying models to identify anomalous behavior, detect fraud, or assess risk in real-time systems.
- Proficiency in Python, SQL, and data science libraries/frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Familiarity with Agentic AI systems or AI agents—understanding of how autonomous models can be leveraged in dynamic decision environments.
- Experience conducting experimentation and model validation using rigorous statistical methods (e.g., A/B testing, ROC/AUC, precision/recall).
- A strong problem-solving mindset and ability to translate ambiguous business problems into clear analytical frameworks.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to diverse audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) to craft compelling insights.
Minimum Qualifications:
- Option 1: Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, with 5+ years of hands-on experience in data science, machine learning, or risk management.
- Option 2: Master’s degree in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics) with at least 3+ years of applied experience working on data-driven risk management or fraud prevention.
- Option 3: 6-8 years of direct experience in data science, machine learning, or applied risk management within an e-commerce or marketplace setting.
Preferred Qualifications:
- Expertise in using advanced machine learning techniques such as deep learning, reinforcement learning, or anomaly detection for fraud detection or risk mitigation.
- Understanding of LLMs, agentic workflows, or prompt engineering concepts in the context of AI-enhanced decision systems.
- Experience with big data technologies like Apache Spark, Hadoop, and cloud-based data solutions (e.g., AWS, Google Cloud) to build scalable risk management platforms.
- Proficiency in data manipulation and analysis tools such as Pandas, NumPy, and SQL for data wrangling, feature engineering, and analysis.
- Strong background in model evaluation techniques including ROC/AUC, confusion matrices, precision/recall, and F1 scores, as well as experience with A/B testing and model validation.
At Walmart, 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. 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. Live Better U is a Walmart-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:
- Stock
Primary Location
1601 SE 10th St, 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.
Data Scientist Job Roles in Arkansas
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Search Data Scientist Jobs in ArkansasData Scientist Jobs in Arkansas: Frequently Asked Questions
Which companies sponsor visas for data scientists in Arkansas?
Walmart and its technology subsidiaries in the Bentonville area are among the most active visa sponsors in Arkansas for data-related roles. Other employers with sponsorship history include Dillard's, Windstream, and Arkansas Blue Cross and Blue Shield. Healthcare systems such as Baptist Health and UAMS also hire data scientists and have filed for skilled worker visas, though sponsorship activity varies by year and business need.
Which visa types are most common for data scientist roles in Arkansas?
The H-1B is the most common visa category for data scientists in Arkansas, as the role generally qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like statistics, computer science, or mathematics. Employers may also sponsor EB-2 or EB-3 immigrant visas for longer-term hires. Candidates with advanced degrees sometimes pursue the EB-2 National Interest Waiver independently, though employer sponsorship is more typical.
How to find data scientist visa sponsorship jobs in Arkansas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for data scientist roles in Arkansas without sorting through positions that don't support international candidates. You can filter by state and job category to surface relevant openings from employers like Walmart, healthcare networks, and technology firms operating in Little Rock, Bentonville, and Fayetteville.
Which cities in Arkansas have the most data scientist sponsorship jobs?
Bentonville and the broader northwest Arkansas corridor lead the state for data science hiring, driven by Walmart's global headquarters and its growing ecosystem of retail technology vendors. Little Rock is the next most active market, with demand from state government agencies, healthcare organizations, and financial services firms. Fayetteville, home to the University of Arkansas, also sees data science hiring tied to research and university-adjacent employers.
Are there any state-specific considerations for data scientists pursuing visa sponsorship in Arkansas?
Arkansas is not a major tech hub on the scale of Texas or California, so the volume of H-1B filings for data science roles is lower, and opportunities are concentrated among a smaller set of large employers. The University of Arkansas in Fayetteville serves as a meaningful pipeline for data talent, and some graduates transition into sponsored roles with regional employers. Prevailing wage requirements still apply statewide, and employers must comply with Department of Labor standards regardless of location.
What is the prevailing wage for sponsored data scientist jobs in Arkansas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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