The Role
Develop predictive and descriptive models, conduct statistical analysis, and generate insights for merchandising, pricing, promotions, demand forecasting, and member behavior. Use Python, SQL, cloud data platforms, machine learning, and visualization tools to analyze large datasets, maintain data quality and governance, and communicate recommendations to business stakeholders. The role also involves translating business needs into analytical solutions and mentoring team members.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
The (USA) Data Scientist III plays a critical role in leveraging advanced analytical and statistical methods to extract actionable insights from complex data sets. This position involves developing, validating, and deploying predictive models while ensuring data quality and governance standards are met. The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy. Collaborating across functions, the Data Scientist III contributes to solving business challenges by applying rigorous data science techniques and mentoring team members to enhance analytical capabilities and drive impactful outcomes.
About the team:
The merchandising analytics team transforms complex data into actionable insights that guide product selection, placement, and pricing strategies to improve business outcomes. Leveraging advanced data science, machine learning, and predictive modeling with tools such as Python and data visualization platforms, the team builds scalable analytical models. Collaborating closely with business stakeholders, members ensure alignment with organizational goals by delivering clear, impactful insights. The team supports continuous improvement and informed decision-making across merchandising functions, driving data-driven strategies that contribute to overall business success.
What you'll do:
What you'll bring:
-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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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 Regional Pay Zone (RPZ) (based on location).
The (USA) Data Scientist III plays a critical role in leveraging advanced analytical and statistical methods to extract actionable insights from complex data sets. This position involves developing, validating, and deploying predictive models while ensuring data quality and governance standards are met. The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy. Collaborating across functions, the Data Scientist III contributes to solving business challenges by applying rigorous data science techniques and mentoring team members to enhance analytical capabilities and drive impactful outcomes.
About the team:
The merchandising analytics team transforms complex data into actionable insights that guide product selection, placement, and pricing strategies to improve business outcomes. Leveraging advanced data science, machine learning, and predictive modeling with tools such as Python and data visualization platforms, the team builds scalable analytical models. Collaborating closely with business stakeholders, members ensure alignment with organizational goals by delivering clear, impactful insights. The team supports continuous improvement and informed decision-making across merchandising functions, driving data-driven strategies that contribute to overall business success.
What you'll do:
- Apply advanced statistical, analytical, and machine learning techniques to solve merchandising, pricing, and member behavior challenges.
- Conduct exploratory data analysis and develop data-driven insights to identify opportunities related to assortment, pricing, promotions, and category performance.
- Partner with merchandising, pricing, and cross-functional teams to translate business objectives into analytical frameworks and actionable recommendations.
- Develop and maintain predictive and descriptive models to support decision-making, demand forecasting, pricing optimization, and business planning initiatives.
- Utilize tools and programming languages such as Python, SQL, and cloud-based data platforms to extract, analyze, and optimize large datasets.
- Create dashboards, visualizations, and executive-ready reports to communicate insights, performance trends, and business recommendations effectively.
What you'll bring:
- Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data ecosystems.
- Proficiency in statistical methods, exploratory data analysis, and hypothesis testing to derive actionable business insights.
- Strong programming skills in Python and SQL for developing, testing, and deploying analytical models and data solutions.
- Experience with machine learning techniques including predictive modeling, and large language modeling.
- Ability to translate complex business requirements into data-driven solutions using big data analytics and cloud platforms such as Databricks and Big Query.
- Skilled in data visualization tools like Power BI to effectively communicate findings and influence decision-making.
-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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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 Regional Pay Zone (RPZ) (based on location).
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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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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, Master’s degree 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, 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.Bachelors: Analytics, Bachelors: Economics, Bachelors: Mathematics, Bachelors: Statistics, Doctorate: Analytics, Doctorate: Economics, Doctorate: Mathematics, Doctorate: Statistics, Masters: Analytics, Masters: Economics, Masters: Mathematics, Masters: StatisticsBusiness Analytics - Certification, Data Mining - Certification, Statistical Analysis - CertificationPrimary Location...2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of AmericaWalmart 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.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus two years of experience in analytics or a related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field
- Four years of experience in analytics or a related field
- Experience in data science, machine learning, or optimization models
- Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics
- Successful completion of one or more assessments in Python, Spark, Scala, or R
- Bachelor's degree in Analytics, Economics, Mathematics, or Statistics
- Master's degree in Analytics, Economics, Mathematics, or Statistics
- Doctorate in Analytics, Economics, Mathematics, or Statistics
- Business Analytics certification
- Data Mining certification
- Statistical Analysis certification
- Knowledge of open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
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