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# Distinguished, Data Scientist

- **Company:** Wal-Mart Stores, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $156,000.0 - $312,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Artificial Intelligence, Data Analysis, Application Frameworks, Computer Vision, Big Data, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), Web Content Accessibility Guidelines, Apache Spark, Deep Learning, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations, Marketplace
- **Published:** July 25, 2026
- **Apply:** https://www.disabledperson.com/jobs/73841931-distinguished-data-scientist

## About the Role

* Bachelor's with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.

 * Experience of acting as a tech lead for > 10 years, 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 6 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 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, Publications or active peer reviewer in related journals or conference, 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

What you'll do... As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to:

 * Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace.

 * Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives

 * Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the Organizational strategy around Marketplace.

 * Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals

 * Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI.

 * Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights

 * Build and train AI/ML models for replication for future projects

 * Deploy and maintain the data science solutions

 * Communicate recommendations to business partners and influence future plans based on insights, * Consult with product/business stakeholders on algorithmic recommendations and translate insights into actions.

 * Lead and mentor domain data science teams to deliver ML products on time.

 * Collaborate cross-functionally to drive end-to-end content improvement.

 * Research and develop innovative content-improvement solutions leveraging multilingual and multimodal foundation models.

 * Identify complex business opportunities solvable with advanced ML/Computer Vision; evaluate and prioritize business cases.

 * Define success criteria, deliverables, and KPIs; quantify and track business impact of ML products.

 * Establish model evaluation/testing standards and documentation; guide deployment via MLOps best practices.

 * Communicate recommendations, influence partners globally, and drive innovation while upholding company values and ethics.


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