Senior Data Scientist & AI Lead - GenAI & Analytics

Walmart; Bellevue (KY); On-site; USD 192,000 - 384,000; Full time

Benefits offered by this job

Performance-based bonuses

Health benefits

401(k) and stock purchase

Paid time off and PTO

Education benefits (Live Better U)

Job summary

Walmart is seeking a Senior Distinguished I, Data Scientist in Bellevue to design and deploy AI-native applications and scalable data solutions. You will mentor teams, govern data standards, and drive cross-functional impact across the business with GenAI and machine learning.

The role emphasizes collaboration, data strategy, and measurable ROI, leveraging Python, SQL, and visualization tools to communicate complex insights and inform strategic decisions.

Qualifications

• Bachelor’s degree with 7+ years in analytics or Master’s with 5+ years in analytics or 9 years in analytics-related field.
• Experience in data science, ML, and data visualization is essential.
• Knowledge of data governance and multiple data sources is required.

Responsibilities

• Design and implement AI native applications and software products.
• Develop advanced data visualization solutions to convey insights.
• Collaborate with stakeholders to translate business needs into data driven strategies.
• Lead deployment of data analysis products with scalable architecture.
• Mentor teams on analytics, visualization, validation and GenAI development.

Skills

GenAI

GenAI tools

Machine learning

Data visualization

Python

R

SQL

Java

Data governance

Cross-functional collaboration

Education

Bachelor’s degree in Statistics/Economics/Analytics/Mathematics/CS/IT or related field

Master’s degree in Statistics/Economics/Analytics/Mathematics/CS/IT or related field

9 years analytics experience

Tools

Tableau

PowerBI

Python

R

Spark

Scala

TensorFlow

Torch

scikit-learn

Job description

Walmart is seeking a Senior Distinguished I, Data Scientist in Bellevue to design and deploy AI-native applications and scalable data solutions. You will mentor teams, govern data standards, and drive cross-functional impact across the business with GenAI and machine learning.

The role emphasizes collaboration, data strategy, and measurable ROI, leveraging Python, SQL, and visualization tools to communicate complex insights and inform strategic decisions.