Senior Data Scientist, Retail AI & Causal Analytics

Walmart Data Ventures; Bentonville (AR); On-site; USD 110,000 - 220,000; Full time

Benefits offered by this job

Performance bonuses

Medical, vision, dental

401(k)

Job summary

Walmart Data Ventures is seeking a Principal Data Scientist to tackle high-value retail problems using rigorous analytics, ML, and causal inference. You will deploy scalable models, shape strategy, and translate evidence into actionable recommendations for product and engineering leaders.

You will guide measurement frameworks, work with agentic AI teams, and advance data science capabilities across the organization while mentoring peers and driving business impact.

Qualifications

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related field and 5 years’ analytics experience.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, CS, IT or related field and 3 years’ analytics experience.
• 7 years’ experience in an analytics or related field.

Responsibilities

• Frame ambiguous business questions as testable hypotheses with clear metrics and decision criteria.
• Build, validate, deploy, monitor, and improve predictive, causal, and ML solutions.
• Design experiments and causal measurement approaches including A/B tests and uplift modeling.
• Collaborate with agentic AI teams to answer questions on measurement, impact, and causal drivers.
• Mentor team members on coding, modeling, visualization, and analytical storytelling.
• Communicate insights to influence product, engineering, and executive decisions.

Skills

Data science

Statistics

Machine Learning

Experimentation

Causal inference

Python

Production ML

Education

Bachelor's degree

Master's degree

PhD

Tools

Python

Spark

TensorFlow

R

Job description

Walmart Data Ventures is seeking a Principal Data Scientist to tackle high-value retail problems using rigorous analytics, ML, and causal inference. You will deploy scalable models, shape strategy, and translate evidence into actionable recommendations for product and engineering leaders.

You will guide measurement frameworks, work with agentic AI teams, and advance data science capabilities across the organization while mentoring peers and driving business impact.