Principal Data Scientist - AI/ML, Cloud & Business Impact

StartupNWA; Bentonville (AR); On-site; USD 144,000 - 220,000; Full time

Benefits offered by this job

Health benefits

Vision and dental coverage

401(k)

Stock purchase plan

Company-paid life insurance

Paid time off

Education assistance with 100% college

Job summary

Walmart is seeking a Principal Data Scientist in Bentonville, AR to lead analytics, big data analytics, and automation initiatives. You will translate business needs into scalable data science solutions, mentor teams, and drive measurable ROI across domains.

The role requires a Master’s degree with 3 years of analytics experience or a Bachelor’s with 5 years, plus strong ML/DL, cloud, and big data tooling expertise.

Qualifications

• Master's degree or equivalent in a quantitative field plus 3 years analytics experience or Bachelor's plus 5 years.
• Proven experience implementing data science solutions on cloud platforms.
• Strong programming in Python, R, and SQL with ML/DL tooling.

Responsibilities

• Translate business requirements into data science projects aligned with strategy.
• Develop scalable ML/AI models and validate them with rigorous testing.
• Mentor junior team members and assess data sources and quality.
• Communicate insights to stakeholders and quantify business impact.

Skills

Python

SQL

R

Google Cloud

Azure

Machine Learning

Deep Learning

NLP

Computer Vision

Statistical Modeling

Optimization

Docker

Kubernetes

Education

Master's degree in Statistics, Economics, Analytics, Mathematics, CS, IT

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, CS, IT

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

BigQuery

Spark

Hive

Hadoop

Databricks

Snowflake

Tableau

PowerBI

Matplotlib

Seaborn

Gensim

BERT

PuLP

CPLEX

MLflow

Docker

Kubernetes

Job description

Walmart is seeking a Principal Data Scientist in Bentonville, AR to lead analytics, big data analytics, and automation initiatives. You will translate business needs into scalable data science solutions, mentor teams, and drive measurable ROI across domains.

The role requires a Master’s degree with 3 years of analytics experience or a Bachelor’s with 5 years, plus strong ML/DL, cloud, and big data tooling expertise.