Senior Data Scientist: Real-Time ML & Analytics for Retail

Walmart Inc.; Bentonville (AR); Hybrid; USD 90,000 - 180,000; Full time

Job summary

Walmart Inc. is seeking a Senior Data Scientist in Bentonville, AR to advance predictive analytics and data-driven decisions.

You will develop ML and NLP models, design experiments, and deploy solutions to support real‑time and batch processing at scale. The role requires a strong foundation in statistics, programming (Python/SQL/C++/Java), and experience with feature engineering, model monitoring, and dashboards (Tableau).

Qualifications

• Master’s or Bachelor’s degree with years of analytics experience as stated in the posting.
• Experience with ML, statistical modeling and NLP techniques as described in the role.
• Proven ability to deploy and monitor ML models in production environments.

Responsibilities

• Apply knowledge of feature relevance, selection, and experimental design to build predictive models.
• Develop analytical models and dashboards to deliver actionable insights for business stakeholders.
• Evaluate model performance using appropriate metrics (ROC, RMSE, etc.) and tune accordingly.
• Collaborate with data engineers and product teams to productionize ML solutions.
• Conduct exploratory data analysis, hypothesis testing, and feature engineering to improve outcomes.

Skills

Python

ML models

NLP

Transformer models

Statistical analysis

Airflow

Tableau

Excel

SQL

Java

C++

Cloud deployment

Model monitoring

Anomaly detection

Feature engineering

A/B testing

Hypothesis testing

Data visualization

Education

Master’s degree in CS/Statistics/Engineering

Bachelor’s degree in CS/Statistics/Engineering

Tools

Airflow

Tableau

SQL databases

Job description

Walmart Inc. is seeking a Senior Data Scientist in Bentonville, AR to advance predictive analytics and data-driven decisions.

You will develop ML and NLP models, design experiments, and deploy solutions to support real‑time and batch processing at scale. The role requires a strong foundation in statistics, programming (Python/SQL/C++/Java), and experience with feature engineering, model monitoring, and dashboards (Tableau).