(USA) Data Scientist III

Walmart•Sunnyvale, CA

8d•$117,000 - $234,000•Onsite

About The Position

The Data Scientist develops machine learning models and data-driven solutions that improve Search, Personalization, and customer discovery experiences. Working closely with senior scientists and engineers, this role applies statistical analysis, machine learning, and experimentation to solve business problems, build production-ready models, and improve customer engagement across Walmart's global eCommerce platforms. The Applied AI Search & Personalization team builds intelligent shopping experiences that help customers quickly discover relevant products through advanced Search, Ranking, Recommendations, and Personalization technologies. We leverage machine learning, deep learning, and Generative AI to develop scalable solutions that improve customer satisfaction and business outcomes across Walmart markets.

Requirements

Experience with machine learning, statistics, and predictive modeling.
Strong programming skills in Python and SQL.
Familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
Understanding of experimentation methodologies and model evaluation.
Strong analytical and problem-solving skills.
Effective communication and collaboration abilities.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Option 3: 4 years' experience in an analytics or related field.

Nice To Haves

Experience working with large datasets in cloud environments is preferred.
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.

Responsibilities

Build and deploy machine learning models supporting Search and Personalization use cases.
Analyze customer behavior, search interactions, and product data to generate actionable insights.
Develop features and datasets for model training and evaluation.
Conduct offline experiments and support online A/B testing.
Partner with Product, Engineering, and Data teams to implement scalable AI solutions.
Monitor production model performance and identify opportunities for improvement.
Document experiments and communicate findings to technical and business stakeholders.
Continuously learn and apply emerging AI and machine learning techniques.