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# (USA) Director, Data Science

- **Company:** Wal-Mart Stores, Inc.
- **Location:** Bentonville, AR, United States
- **Experience:** Experienced
- **Salary:** $130,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Data Analysis, Application Frameworks, Program Optimization, Data Visualization, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), SQL Databases, Web Content Accessibility Guidelines, Apache Spark, Model Validation, Data Strategy, Scikit Learn, Information Technology, Software Coding, Programming Languages
- **Published:** August 20, 2026
- **Apply:** https://dejobs.org/x/x/CC66B9ACD3644FDB9BB8A0D25DCEA70B/job/

## About the Role

* Experience in data science, including machine learning algorithms, optimization tools and data modeling techniques.
 * Experience in programming languages such as Python and SQL for code development and testing.
 * Experience developing business case models and performing financial analysis.
 * Strong business acumen with the ability to translate complex data insights into actionable strategies aligned with organizational goals.
 * Expertise in data visualization tools and techniques to effectively communicate findings to variety of stakeholders.
 * Proven leadership skills in mentoring teams and driving data strategy across multiple business domains.
 * Ability to deploy, monitor, and scale analytical models ensuring sustained business impact., 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 6 years' experience in an analytics related field.

Option 2: Masters 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.

## Description

The (USA) Director, Data Science leads the development and execution of advanced data science strategies to drive business insights and innovation. This role oversees the design, testing, and deployment of machine learning models and analytical solutions, ensuring alignment with organizational objectives. The position requires collaboration across functions to translate complex data into actionable strategies, mentor technical teams, and promote continuous improvement. The Director also guides data quality initiatives and fosters the integration of emerging technologies to enhance decision-making and operational efficiency within the company.

About the team:

The team operates within the Merchandising Decision Sciences organization, focusing on identifying causal drivers of customer behavior to inform merchandising strategies. It develops advanced models that integrate factors such as assortment, price, inventory, channel, and asset allocation to optimize decisions. By evaluating trade-offs, interactions, and constraints, the team recommends coordinated actions that enhance overall customer and enterprise value. Leveraging expertise in machine learning, data science, and business strategy, the team drives impactful insights that support data-driven merchandising decisions aligned with organizational goals.

What you'll do:

 * Lead the development and deployment of advanced data science models to address complex business challenges and drive strategic initiatives.
 * Oversee data strategy formulation, ensuring alignment with business objectives and leveraging data assets for measurable impact.
 * Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models.
 * Collaborate cross-functionally to translate business requirements into actionable data-driven solutions and insights.
 * Drive continuous improvement by evaluating model performance, scalability, and sustainability across multiple data environments.
 * Communicate findings effectively to influence decision-making and support organizational goals.


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