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# (USA) Data Scientist III

- **Company:** Wal-Mart Stores, Inc.
- **Location:** Bentonville, AR, United States
- **Experience:** Experienced
- **Salary:** $90,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Data Analysis, Application Frameworks, Big Data, BigQuery, Computer Programming, Data Governance, Data Mining, Data Systems, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Language Modeling, Power BI, Tensorflow, Scala (Programming Language), SQL Databases, Computational Statistics, Web Content Accessibility Guidelines, Cloud Platform System, Apache Spark, Scikit Learn, Information Technology, Data Analytics, Data Management, Databricks, Programming Languages
- **Published:** September 2, 2026
- **Apply:** https://dejobs.org/x/x/0A9EF6CD8FFB4466B86CC4DCF5869645/job/

## About the Role

* 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., 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: Statistics

Business Analytics - Certification, Data Mining - Certification, Statistical Analysis - Certification

## Description

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.


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