Senior, Data Scientist

What you'll do

• Immigration sponsorship is not available for this role
• This is a full-time, onsite role at our Seattle, WA office.
• This position is not eligible for remote work.

Role summary

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business decisions. This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights.

You will collaborate across functions to identify data sources, assess model performance, and support continuous improvement initiatives. Your contributions will enhance data-driven solutions that optimize operations and deliver measurable value aligned with Walmart's business objectives.

What you'll do

• Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
• Develop, test, and deploy advanced analytical models using statistical and machine learning techniques to solve complex business problems.
• Collaborate with stakeholders to translate business requirements into data-driven solutions aligned with strategic objectives.
• Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments.
• Create clear, insightful data visualizations and presentations to communicate findings and influence decision-making.
• Mentor junior team members on analytical methods, coding best practices, and business context understanding.

What you'll bring

• Extensive experience in data science and advanced statistical methods to develop and validate analytical models.
• Proficiency in programming languages such as Python, SQL, and Java for code development, testing, and model deployment.
• Strong knowledge of machine learning techniques, including feature selection, tuning, and multistage model assessment.
• Expertise in data visualization tools and best practices to effectively communicate complex data insights.
• Understanding of data ecosystems, data quality standards, and scalable data storage solutions.
• Ability to translate business requirements into data-driven solutions aligned with strategic objectives.
• Experience mentoring junior associates and collaborating cross-functionally to deliver impactful business results.

Minimum Qualifications

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.

Primary Location

300 Elliott Ave W, Seattle, WA 98119-4136, United States of America