Principal Data Scientist, Marketplace Risk – Bellevue Onsite

Walmart Inc.; Bellevue (WA); On-site; USD 132,000 - 264,000; Full time

Benefits offered by this job

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Job summary

Walmart Inc. in Bellevue, WA is seeking a Principal Data Scientist (Marketplace Risk) to lead the development and deployment of advanced machine learning models addressing marketplace risk.

The role requires end-to-end lifecycle expertise from data to deployment and mentoring team members. You will collaborate with cross-functional stakeholders to ensure data quality, build scalable data science products, and deliver measurable business impact while upholding high standards of integrity and

Qualifications

• PhD or Master’s with extensive data science experience.
• Strong foundation in ML/DL, statistics, and modeling.
• Experience architecting large-scale ML systems.
• Proven leadership and mentoring abilities in technical teams.

Responsibilities

• Develop, test, and deploy advanced ML models and data-driven solutions.
• Analyze complex business problems to identify root causes and tech-based approaches.
• Identify, assess, and validate data sources for analytical modeling.
• Lead feature engineering, EDA, and model evaluation for robustness.
• Translate business needs into scalable data science strategies and measurable outcomes.
• Mentor team members on modeling techniques and best practices.
• Drive continuous improvement with emerging ML trends and automation.

Skills

Python

AWS SageMaker

Machine learning

Deep learning

Reinforcement learning

Leadership

Mentoring

Statistical analysis

Data visualization

Communication

Education

PhD in Computer Science or related field

Master's degree in related field

Tools

Kaggle

Spark

Scala

R

Job description

Walmart Inc. in Bellevue, WA is seeking a Principal Data Scientist (Marketplace Risk) to lead the development and deployment of advanced machine learning models addressing marketplace risk.

The role requires end-to-end lifecycle expertise from data to deployment and mentoring team members. You will collaborate with cross-functional stakeholders to ensure data quality, build scalable data science products, and deliver measurable business impact while upholding high standards of integrity and