Senior Data Scientist - Predictive Analytics & ML

Walmart; Los Angeles (CA); On-site; USD 108,000 - 216,000; Full time

Benefits offered by this job

Health benefits

401(k) & stock purchase

Paid time off

Education assistance

Company discounts

Job summary

Walmart is seeking a Data Scientist III to transform data into actionable insights at its Los Angeles location. You will develop statistical models, conduct large-scale analyses, and present findings to stakeholders to influence business decisions.

The role emphasizes building reusable analytics libraries, mentoring analysts, and advancing data science capabilities across teams. Competitive salary and comprehensive benefits are provided.

Qualifications

• Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field and 2 years of analytics experience.

Responsibilities

• Present data insights and recommendations to stakeholders by developing insights from data analysis and translating results into business actions.
• Develop analytical models and reusable algorithms to support project goals and drive predictive analytics.
• Coach and mentor analysts across divisions and project teams; collaborate with business partners on project goals and contingency planning.

Skills

Python

Machine learning

SQL

Data visualization

ETL

AzureML

Big data analytics

Cross‑functional collaboration

Education

Master’s degree in Statistics/Analytics/CS

Bachelor’s degree + 2 years analytics experience

Tools

AzureML

Job description

Walmart is seeking a Data Scientist III to transform data into actionable insights at its Los Angeles location. You will develop statistical models, conduct large-scale analyses, and present findings to stakeholders to influence business decisions.

The role emphasizes building reusable analytics libraries, mentoring analysts, and advancing data science capabilities across teams. Competitive salary and comprehensive benefits are provided.