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# Data Scientist

- **Company:** Wal-Mart Stores, Inc.
- **Location:** New Rochelle, NY, United States
- **Experience:** Expert
- **Salary:** $108,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Data Analysis, Application Frameworks, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), SQL Databases, Web Content Accessibility Guidelines, Apache Spark, Scikit Learn, Information Technology, Data Analytics
- **Published:** October 5, 2026
- **Apply:** https://www.themuse.com/jobs/walmart/senior-data-scientist-b0c884

## About the Role

* Master's or advanced degree in Statistics, Economics, or a related quantitative analytical field; PhD in Economics, Statistics, or a related field (or equivalent experience) strongly preferred.
 * 2-5 years of relevant experience in retail, e-commerce, or a similar data-driven industry.
 * Proven hands-on experience with Media Mix Modeling (MMM), Bayesian MCMC frameworks, Multi-Touch Attribution (MTA), causal inference, and/or stochastic programming.
 * Advanced proficiency in Python and SQL for data analysis and modeling.
 * Strong organizational skills with the ability to manage multiple priorities and deliver results in a fast-paced, dynamic environment.
 * Excellent communication and mentorship skills, with a track record of elevating analytical rigor within teams., 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 3 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 1 years' experience in an analytics related field. Option 3 - 5 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.

## Description

+ Lead the design and implementation of robust analytical solutions to quantify and improve the effectiveness of Walmart's marketing investments.
 + Drive the adoption and advancement of Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and causal inference methodologies to measure campaign performance and optimize marketing spend for both short- and long-term business objectives.
 + Apply expertise in Bayesian MCMC frameworks and stochastic programming to develop scalable, accurate models that inform strategic marketing decisions.
 + Define and scope data requirements, ensuring model accuracy, scalability, and actionable insights.
 + Write and optimize complex Python and SQL queries, proactively troubleshoot data and modeling issues, and mentor team members to elevate analytical rigor.

 * Cross-Functional Influence:
 + Serve as a bridge between technical and business teams, translating complex analytical findings into clear, actionable business recommendations.
 + Effectively communicate and persuade both technical and non-technical audiences, ensuring alignment and understanding across stakeholders.

 * Project Leadership:
 + Demonstrate high ownership and agency, independently leading and executing end-to-end projects in ambiguous and fast-paced environments.
 + Set and manage ambitious timelines, adapt to shifting priorities, and coordinate across multiple teams and stakeholders.

 * Business Acumen:
 + Synthesize insights from diverse data sources, anticipate stakeholder needs, and connect the dots across research, analytics, and business strategy to drive impactful recommendations