Data Science Engineer Visa Sponsorship Jobs in Arkansas
Data science engineer roles in Arkansas are concentrated around Little Rock's growing tech and healthcare analytics sectors, with employers like Walmart's regional operations, Windstream Communications, and Dillard's technology division actively hiring. The University of Arkansas in Fayetteville also feeds a steady pipeline of data talent into Northwest Arkansas, where supply chain and retail analytics demand is strong.
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Get Access To All JobsPosition Summary
We are seeking a highly experienced Director of Data Science & Machine Learning to lead the strategy, development, and delivery of next-generation Price Recommendation solutions. This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers responsible for building AI and ML products that improve pricing decisions, customer value, and business performance at scale.
The ideal candidate combines deep expertise in machine learning with exceptional leadership, product thinking, and stakeholder management skills. They will define the long-term roadmap, influence executive strategy, partner closely with Product, Engineering, Merchandising, and Business teams, and ensure successful delivery of high-impact pricing solutions.
Key Responsibilities
Strategic Leadership
- Define and own the multi-year vision and roadmap for Price Recommendation capabilities aligned with business objectives.
- Identify opportunities to leverage AI, machine learning, causal inference, optimization, and experimentation to improve pricing decisions.
- Drive innovation by evaluating emerging technologies and translating them into scalable business solutions.
- Influence organizational strategy through data-driven recommendations and executive-level communication.
People Leadership
- Lead, mentor, and grow a team of Data Scientists, Machine Learning Engineers, and technical managers.
- Foster a culture of innovation, ownership, collaboration, and continuous learning.
- Establish clear goals, performance expectations, and career development plans for team members.
- Recruit and retain top AI and ML talent.
Product & Roadmap Ownership
- Partner with Product Management to define priorities, investment decisions, and roadmap execution.
- Balance long-term innovation with near-term business commitments.
- Drive prioritization across multiple initiatives while effectively managing dependencies, risks, and trade-offs.
Cross-functional Stakeholder Management
- Build strong partnerships with Product, Engineering, Merchandising, Finance, Operations, and Executive Leadership.
- Translate complex technical concepts into clear business outcomes for senior leadership.
- Align multiple organizations around common goals and execution plans.
- Serve as the primary data science leader for pricing initiatives across the organization.
Delivery & Execution
- Lead end-to-end delivery of ML products from ideation through production deployment and post-launch measurement.
- Ensure solutions are scalable, reliable, explainable, and measurable.
- Establish operational excellence through strong execution, governance, and engineering best practices.
- Define success metrics and continuously improve model performance and business impact.
Technical Leadership
- Provide technical direction on machine learning methodologies including:
+ Demand forecasting
+ Price elasticity modeling
+ Causal inference
+ Recommendation systems
+ Reinforcement learning
+ Optimization
+ Experimentation and A/B testing
- Promote best practices in model development, validation, monitoring, and responsible AI.
- Guide architectural decisions to ensure scalable and reusable ML platforms.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.
The annual salary range for this position is $130,000.00 - $260,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
- Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- Option 3: 8 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
2608 Se J St, Bentonville, AR 72712, 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
We are seeking a highly experienced Director of Data Science & Machine Learning to lead the strategy, development, and delivery of next-generation Price Recommendation solutions. This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers responsible for building AI and ML products that improve pricing decisions, customer value, and business performance at scale.
The ideal candidate combines deep expertise in machine learning with exceptional leadership, product thinking, and stakeholder management skills. They will define the long-term roadmap, influence executive strategy, partner closely with Product, Engineering, Merchandising, and Business teams, and ensure successful delivery of high-impact pricing solutions.
Key Responsibilities
Strategic Leadership
- Define and own the multi-year vision and roadmap for Price Recommendation capabilities aligned with business objectives.
- Identify opportunities to leverage AI, machine learning, causal inference, optimization, and experimentation to improve pricing decisions.
- Drive innovation by evaluating emerging technologies and translating them into scalable business solutions.
- Influence organizational strategy through data-driven recommendations and executive-level communication.
People Leadership
- Lead, mentor, and grow a team of Data Scientists, Machine Learning Engineers, and technical managers.
- Foster a culture of innovation, ownership, collaboration, and continuous learning.
- Establish clear goals, performance expectations, and career development plans for team members.
- Recruit and retain top AI and ML talent.
Product & Roadmap Ownership
- Partner with Product Management to define priorities, investment decisions, and roadmap execution.
- Balance long-term innovation with near-term business commitments.
- Drive prioritization across multiple initiatives while effectively managing dependencies, risks, and trade-offs.
Cross-functional Stakeholder Management
- Build strong partnerships with Product, Engineering, Merchandising, Finance, Operations, and Executive Leadership.
- Translate complex technical concepts into clear business outcomes for senior leadership.
- Align multiple organizations around common goals and execution plans.
- Serve as the primary data science leader for pricing initiatives across the organization.
Delivery & Execution
- Lead end-to-end delivery of ML products from ideation through production deployment and post-launch measurement.
- Ensure solutions are scalable, reliable, explainable, and measurable.
- Establish operational excellence through strong execution, governance, and engineering best practices.
- Define success metrics and continuously improve model performance and business impact.
Technical Leadership
- Provide technical direction on machine learning methodologies including:
+ Demand forecasting
+ Price elasticity modeling
+ Causal inference
+ Recommendation systems
+ Reinforcement learning
+ Optimization
+ Experimentation and A/B testing
- Promote best practices in model development, validation, monitoring, and responsible AI.
- Guide architectural decisions to ensure scalable and reusable ML platforms.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.
The annual salary range for this position is $130,000.00 - $260,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
- Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- Option 3: 8 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
2608 Se J St, Bentonville, AR 72712, 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 Science Engineer Job Roles in Arkansas
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Search Data Science Engineer Jobs in ArkansasData Science Engineer Jobs in Arkansas: Frequently Asked Questions
Which companies in Arkansas sponsor visas for data science engineers?
Walmart and its technology subsidiaries in Bentonville are among the most active H-1B visa sponsors for data science roles in Arkansas. Windstream Communications, Dillard's, and Arkansas Blue Cross and Blue Shield have also filed sponsorships for data engineering positions. Healthcare systems like Baptist Health and UAMS occasionally sponsor for analytics-heavy roles, though tech-focused employers in Northwest Arkansas tend to sponsor most consistently.
Which visa types are most common for data science engineer roles in Arkansas?
The H-1B visa is the most common path for data science engineers in Arkansas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension often transition to H-1B through employer sponsorship. The O-1A is an alternative for candidates with demonstrated exceptional achievement in data science or research.
Which cities in Arkansas have the most data science engineer sponsorship jobs?
Bentonville and the broader Northwest Arkansas corridor lead the state for data science engineer sponsorship opportunities, driven by Walmart's global headquarters and its supplier ecosystem. Little Rock comes second, with healthcare institutions and financial services firms generating demand for data engineering talent. Fayetteville sees activity linked to the University of Arkansas research community and regional tech startups building around it.
How to find data science engineer visa sponsorship jobs in Arkansas?
Migrate Mate is built specifically for international candidates looking for visa sponsorship roles, including data science engineer positions in Arkansas. You can filter jobs by state and role type to surface employers actively willing to sponsor. Because Northwest Arkansas and Little Rock have distinct hiring concentrations, narrowing your search by city alongside role title helps identify the employers most relevant to your background.
Are there any state-specific considerations for data science engineers pursuing sponsorship in Arkansas?
Arkansas employers sponsoring H-1B workers must file a Labor Condition Application with the Department of Labor certifying they will pay the prevailing wage for the role and location. Northwest Arkansas prevailing wages differ from Little Rock rates, so the specific posting location matters. The University of Arkansas pipeline means competition for entry-level roles can be higher in Fayetteville, while Little Rock's healthcare sector tends to favor candidates with domain-specific analytics experience in clinical or insurance data.
What is the prevailing wage for sponsored data science engineer 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.