Senior Data Scientist — ML, CV, NLP & Production Analytics

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

Benefits offered by this job

Health benefits

401(k)

Stock purchase plan

Paid time off

Job summary

Walmart in Bentonville, AR is seeking a Senior Data Scientist to apply advanced analytics across structured and unstructured data. You will work with Python, SQL, ML/DL methods, and optimization techniques to design experiments and deliver actionable insights.

The role requires a Master’s or equivalent in CS/Statistics/Engineering, plus relevant analytics experience. Competitive pay with incentives and comprehensive benefits are provided.

Qualifications

• Master’s degree or the equivalent in Computer Science, Statistics, Engineering, or related field plus 1 year of analytics experience; or Bachelor's degree plus 3 years of analytics experience.
• Experience with Python, SQL, ML techniques, and model evaluation metrics.
• Ability to design experiments, build visualizations, and communicate insights to stakeholders.

Responsibilities

• Apply feature relevance, EDA, and advanced statistical methods to build models.
• Develop modeling approaches including graphical models, Bayesian inference, and neural networks.
• Conduct experiments, select evaluation metrics, and refine features for performance.
• Support production deployment and maintain scalable analytical solutions.

Skills

Python

SQL

Machine learning

Statistics

Deep learning

Pytorch/TensorFlow/Keras

Experiment design

Data visualization

Optimization

R

Java

C++

PySpark

Model evaluation

Basic NLP

Computer vision

Education

Master’s degree or Bachelor's in Computer Science, Statistics, Engineering, or related field

Tools

Seaborn

MATLAB

SQL tools

PyTorch

TensorFlow

Keras

Job description

Walmart in Bentonville, AR is seeking a Senior Data Scientist to apply advanced analytics across structured and unstructured data. You will work with Python, SQL, ML/DL methods, and optimization techniques to design experiments and deliver actionable insights.

The role requires a Master’s or equivalent in CS/Statistics/Engineering, plus relevant analytics experience. Competitive pay with incentives and comprehensive benefits are provided.