Senior Data Scientist — AI for Scalable Retail Insights

StartupNWA; Bentonville (AR); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Stock purchase plan

Life insurance

PTO including sick leave

Education benefit

Job summary

Walmart is seeking a Senior Data Scientist to design and deploy data-driven solutions that support strategic objectives. Lead cross-functional teams, mentor junior members, and ensure scalable, governance-aligned models across a dynamic data ecosystem.

You will build advanced ML models, perform EDA and feature engineering, and translate business needs into deployable analytics. The role emphasizes collaboration with stakeholders and delivering measurable impact on decision-making and efficiency.

Qualifications

• Bachelor’s degree in a relevant field and 3 years' analytics experience.
• Master’s degree and 1 year analytics experience.
• Alternatively 5 years of analytics experience.

Responsibilities

• Identify and source data from multiple domains with quality checks.
• Develop, test, and deploy advanced analytical models using Python.
• Perform exploratory data analysis and feature engineering to boost model accuracy.
• Collaborate with stakeholders to translate requirements into data solutions.
• Create clear data visualizations to communicate insights.
• Mentor junior team members on modeling techniques.
• Ensure scalability and governance for deployed models.

Skills

Python

SQL

Data Visualization

Data Engineering

Model Deployment

Mentoring

Cross-functional Collaboration

Data Governance

Domain Knowledge

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field

Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field

5 years of analytics experience

Tools

Spark

Scala

R

Job description

Walmart is seeking a Senior Data Scientist to design and deploy data-driven solutions that support strategic objectives. Lead cross-functional teams, mentor junior members, and ensure scalable, governance-aligned models across a dynamic data ecosystem.

You will build advanced ML models, perform EDA and feature engineering, and translate business needs into deployable analytics. The role emphasizes collaboration with stakeholders and delivering measurable impact on decision-making and efficiency.