Data Science Lead Jobs in Arkansas
Data Science Lead jobs in Arkansas are open across Bentonville, Little Rock, and Conway and other Arkansas metros, with employers like Walmart, AAIT Health, and Colgate-Palmolive hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 133+ Data Science Lead jobs
Position Summary
Essential Functions
An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.
Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To collaborate with multiple business stakeholders to gain an understanding of complex organizational problems from varied perspectives to create effective technology focused solutions. Influence the business to redefine the problem statement. Design multi-stage, data-driven solutions to real-world problems for issues that are amenable to a data-driven solution. Redefine data analytics, big data analytics, automation goals, and deliverables by leveraging experience with the business problem. Identify return on investment.
Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices.
Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g. Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To explore and create automated feature generation framework. Develop standard EDA process. Develop best practices on experimentation. Drive exploratory work in newer areas of Math, Statistics, Machine Learning, and Optimization Techniques. Continuously improve the business's data analysis models. Create industry-leading performance by leveraging new and creative data-sources. Employ the latest in machine learning in the department, Scope, design, and implement new machine learning models to support the business's initiatives and programs with a view of achieving overall objectives and targets. Guide teams in the development and delivery of big data predictive technologies models, and fully working prototypes of complex algorithms using readily available libraries.
Model Assessment and Validation: Requires knowledge of model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.); Impact of variables and features on model performance To identify and review model evaluation metrics based on analytical requirements. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is documented and maintained by the team.
Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance; understanding of servers, model formats to store models. To deploy models or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and model life-cycle management practices. Assist in creation of innovative user interfaces and support the use of models through collaboration with key stakeholders.
Code Development and Testing: Requires knowledge of coding languages like SQL, Java, C++, Python and others; Testing methods such as static, dynamic, software composition analysis, manual penetration testing and others; Business, domain understanding. To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate testing approach. Deploy software to production servers. Contribute code documentation, maintain playbooks, and provide timely progress updates.
Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To identify and recommend the most suitable visualization tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of information into cohesive insights. Present to and influence audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. Guide and mentor junior associates on story types, structures, and techniques based on context.
Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, interpret, and apply principles of the defined strategy to complex business problems. Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains. Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent. Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.
Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.
Leadership Expectations
Respect the Individual: Builds high-performing teams; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all.
Respect the Individual: Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental opportunities; builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others’ contributions and accomplishments; supports strategies and drives initiatives that attract and retain the best talent.
Respect the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.
Act with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by taking action to advance opportunity, sustainability, community, and integrity (e.g., creating fair opportunities for associates and suppliers, driving local giving efforts).
Act with Integrity: Ensures that teams follow the law, our code of conduct and company policies; promotes an environment where associates feel comfortable sharing concerns and models our culture of non-retaliation; listens to concerns raised by associates and takes action and enables others to do the same; holds self and teams accountable for achieving results in a way that is consistent with our values.
Act with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware.
Serve our Customers and Members: Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acting with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members.
Serve our Customers and Members: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and implementing strategies.
Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, and fosters an environment that supports learning, innovation, learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Strive for Excellence: Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart’s business model.
Physical Activities
The following physical activities are necessary to perform one or more essential functions of this position.
- Reads information, often in small print.
- Visually verifies information, often in small print.
- Communicates effectively in person or by using telecommunications equipment.
- Creates documents, reports, etc., using a writing instrument (such as a pencil or pen) or electronic device.
- Enters and locates information on electronic device.
- Presents information to small or large groups and individuals.
- Observes associate, customer, or supplier behavior.
Travel
Traveling is necessary to perform one or more essential functions of this position.
- Travels internationally to and from multiple facilities or work-sites requiring extended overnight stay.
Preferred Qualifications
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or related field.
- 10 years' experience in data science, machine learning, optimization models, or related field.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- 8 years’ experience using open source frameworks (for example, scikit learn, tensorflow, torch).
- 5 years' supervisory experience.
- 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.
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 $160,000.00 - $320,000.00 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 7 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 5 years' experience in an analytics related field.
Option 3: 9 years' experience in an analytics or related field.
3 years' supervisory experience.
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
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.
Position Summary
Essential Functions
An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.
Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To collaborate with multiple business stakeholders to gain an understanding of complex organizational problems from varied perspectives to create effective technology focused solutions. Influence the business to redefine the problem statement. Design multi-stage, data-driven solutions to real-world problems for issues that are amenable to a data-driven solution. Redefine data analytics, big data analytics, automation goals, and deliverables by leveraging experience with the business problem. Identify return on investment.
Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices.
Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g. Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To explore and create automated feature generation framework. Develop standard EDA process. Develop best practices on experimentation. Drive exploratory work in newer areas of Math, Statistics, Machine Learning, and Optimization Techniques. Continuously improve the business's data analysis models. Create industry-leading performance by leveraging new and creative data-sources. Employ the latest in machine learning in the department, Scope, design, and implement new machine learning models to support the business's initiatives and programs with a view of achieving overall objectives and targets. Guide teams in the development and delivery of big data predictive technologies models, and fully working prototypes of complex algorithms using readily available libraries.
Model Assessment and Validation: Requires knowledge of model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.); Impact of variables and features on model performance To identify and review model evaluation metrics based on analytical requirements. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is documented and maintained by the team.
Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance; understanding of servers, model formats to store models. To deploy models or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and model life-cycle management practices. Assist in creation of innovative user interfaces and support the use of models through collaboration with key stakeholders.
Code Development and Testing: Requires knowledge of coding languages like SQL, Java, C++, Python and others; Testing methods such as static, dynamic, software composition analysis, manual penetration testing and others; Business, domain understanding. To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate testing approach. Deploy software to production servers. Contribute code documentation, maintain playbooks, and provide timely progress updates.
Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To identify and recommend the most suitable visualization tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of information into cohesive insights. Present to and influence audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. Guide and mentor junior associates on story types, structures, and techniques based on context.
Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, interpret, and apply principles of the defined strategy to complex business problems. Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains. Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent. Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.
Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.
Leadership Expectations
Respect the Individual: Builds high-performing teams; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all.
Respect the Individual: Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental opportunities; builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others’ contributions and accomplishments; supports strategies and drives initiatives that attract and retain the best talent.
Respect the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.
Act with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by taking action to advance opportunity, sustainability, community, and integrity (e.g., creating fair opportunities for associates and suppliers, driving local giving efforts).
Act with Integrity: Ensures that teams follow the law, our code of conduct and company policies; promotes an environment where associates feel comfortable sharing concerns and models our culture of non-retaliation; listens to concerns raised by associates and takes action and enables others to do the same; holds self and teams accountable for achieving results in a way that is consistent with our values.
Act with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware.
Serve our Customers and Members: Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acting with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members.
Serve our Customers and Members: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and implementing strategies.
Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, and fosters an environment that supports learning, innovation, learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Strive for Excellence: Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart’s business model.
Physical Activities
The following physical activities are necessary to perform one or more essential functions of this position.
- Reads information, often in small print.
- Visually verifies information, often in small print.
- Communicates effectively in person or by using telecommunications equipment.
- Creates documents, reports, etc., using a writing instrument (such as a pencil or pen) or electronic device.
- Enters and locates information on electronic device.
- Presents information to small or large groups and individuals.
- Observes associate, customer, or supplier behavior.
Travel
Traveling is necessary to perform one or more essential functions of this position.
- Travels internationally to and from multiple facilities or work-sites requiring extended overnight stay.
Preferred Qualifications
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or related field.
- 10 years' experience in data science, machine learning, optimization models, or related field.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- 8 years’ experience using open source frameworks (for example, scikit learn, tensorflow, torch).
- 5 years' supervisory experience.
- 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.
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 $160,000.00 - $320,000.00 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 7 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 5 years' experience in an analytics related field.
Option 3: 9 years' experience in an analytics or related field.
3 years' supervisory experience.
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
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.
See All 133+ Data Science Lead Jobs in Arkansas
Find roles in Arkansas that match your experience and apply in just a few clicks.
Find Data Science Lead JobsData Science Lead Jobs by City in Arkansas
Where Arkansas roles are concentrated, by current openings.
Data Science Lead Job Market in Arkansas
A snapshot from current Arkansas openings, updated as new roles post.
Who's Hiring
- Walmart110
- AAIT Health2
- Colgate-Palmolive2
- Ryder System2
- State of Arkansas2
Top Industries Hiring
- Retail110
- Consumer Goods13
- E-Commerce & Online Marketplaces11
- Healthcare & Medical Services4
- Food & Beverage3
What Arkansas Employers Look For
The qualifications that appear most often in data science lead jobs across Arkansas.
- 5+ years of experience in data science with at least 2 years in a lead or senior role
- Proficiency in Python or R along with SQL for data manipulation and modeling workflows
- Experience deploying machine learning models to production environments at scale
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure
- Demonstrated ability to mentor junior data scientists and manage cross-functional projects
- Graduate degree in statistics, computer science, mathematics, or a closely related field
Data Science Lead Jobs in Arkansas: Frequently Asked Questions
How many data science lead jobs are there in Arkansas?
There are 133+ data science lead openings in Arkansas on Migrate Mate as of June 2026, with the most roles in Bentonville, Little Rock, and Conway. New positions post regularly as employers across Arkansas hire.
How much do data science leads make in Arkansas?
Data science leads 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 Arkansas cities have the most data science lead jobs?
Bentonville, Little Rock, and Conway have the most data science lead openings in Arkansas right now, with additional roles spread across smaller metros statewide.
Which companies hire data science leads in Arkansas?
Employers hiring data science leads in Arkansas include Walmart, AAIT Health, and Colgate-Palmolive, based on current listings on Migrate Mate as of June 2026.
Are there remote data science lead jobs in Arkansas?
Yes. About 5% of data science lead openings tied to Arkansas are remote or hybrid as of June 2026. The rest are on-site roles based in Arkansas metros.
How do I apply for data science lead jobs in Arkansas?
You can apply to data science lead jobs in Arkansas directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Arkansas location, then apply to each one that fits.
See All 133+ Data Science Lead Jobs in Arkansas
Find roles in Arkansas that match your experience and apply in just a few clicks.
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