Staff Data Scientist: GenAI & Personalization at Scale

Walmart Global Tech; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

401(k) match

Stock purchase plan

Paid time off

Health plans

Job summary

Walmart Global Tech is seeking a Staff Data Scientist to drive innovation across Walmart’s BuyBox, Search & Personalization ecosystem. You will develop next-generation ML solutions spanning ranking, recommendation systems, Generative AI, and neural networks.

You will lead initiatives from problem formulation to deployment and continuous improvement, partnering with Product, Engineering, and business stakeholders.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Statistics, CS, or Analytics.
• Proven experience with ML systems, ranking, and personalization.
• Strong understanding of experimentation and evaluation methods (A/B).

Responsibilities

• Lead advanced ML solutions for BuyBox ranking, Search, and Personalization.
• Develop and deploy ranking and recommendation systems using modern ML techniques.
• Apply GenAI/LLMs to improve semantic understanding and user experience.
• Drive projects from problem formulation to production deployment and impact measurement.

Skills

ML expertise

Ranking systems

Recommendation systems

LLMs

MLOps

A/B testing

Python

BigQuery

PySpark

Hive

Data visualization

Cross-functional leadership

Education

Bachelor's in Statistics/Analytics/CS

Master's in ML/AI

Tools

Python

BigQuery

PySpark

Hive

Job description

Walmart Global Tech is seeking a Staff Data Scientist to drive innovation across Walmart’s BuyBox, Search & Personalization ecosystem. You will develop next-generation ML solutions spanning ranking, recommendation systems, Generative AI, and neural networks.

You will lead initiatives from problem formulation to deployment and continuous improvement, partnering with Product, Engineering, and business stakeholders.