Principal, Data Scientist - Causal Inference & Experimentation

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

Benefits offered by this job

Competitive pay

Performance-based bonuses

401(k)

Medical/vision/dental coverage

PTO

Parental leave

Military leave pay

Adoption & surrogacy reimbursement

Walmart-paid education benefits

Job summary

A leading retail corporation is seeking a Principal Data Scientist to lead causal inference and experimentation initiatives within its omnichannel platform. This role requires deep expertise in causal analysis, advanced modeling skills, and the ability to communicate complex insights effectively. The ideal candidate will have over 10 years of experience in data science or analytics, a graduate degree in a relevant field, and strong technical skills in SQL, Python, and R. Benefits include competitive pay, performance bonuses, and comprehensive health coverage.

Qualifications

• 10+ years of experience in data science, applied research, or analytics roles.
• Deep expertise in causal inference and experimentation.
• Advanced modeling and statistical skills.

Responsibilities

• Define and lead the causal measurement strategy for major initiatives.
• Design and evaluate large‑scale experimentation frameworks.
• Translate complex causal findings into executive-ready insights.

Skills

Causal inference

Experimentation

Statistical modeling

SQL

Python

R

Strategic thinking

Executive influence

Education

Bachelor’s degree in a relevant field

Master’s degree in a relevant field

PhD in a relevant field

Tools

Spark

Scala

scikit-learn

TensorFlow

PyTorch

Job description

Principal, Data Scientist – Causal Inference & Experimentation

Walmart is seeking a Principal Data Scientist to lead causal inference, experimentation, and decision science across product, business, and executive leadership within its rapidly growing Walmart Business omnichannel platform.

Base Pay Range: $110,000.00/yr – $220,000.00/yr

What You’ll Do

• Define and lead the causal measurement strategy for major product, pricing, and operational initiatives.
• Design and evaluate large‑scale experimentation frameworks, including A/B testing, sequential experimentation, and quasi‑experimental designs.
• Develop and apply advanced causal and statistical models such as treatment‑effect and uplift models, difference‑in‑differences, synthetic controls, propensity‑score matching, instrumental variables, and observational causal techniques.
• Translate complex causal findings into executive‑ready insights, clearly communicating assumptions, limitations, uncertainty, and business implications.
• Partner with senior business and product leaders to frame ambiguous, high‑stakes problems, define learning agendas, and determine the right analytical or experimental approach.
• Connect leading indicators to lagging outcomes to demonstrate how product and operational levers causally impact revenue, conversion, retention, and customer experience.
• Influence roadmap and investment decisions by identifying high‑ROI opportunities and quantifying trade‑offs through experimentation and modeling.
• Set technical standards and best practices for experimentation and causal analysis, mentoring senior data scientists and raising the overall analytical maturity of the organization.

What You’ll Bring

• Deep expertise in causal inference and experimentation with a strong track record of applying these methods to real‑world business decisions.
• Advanced modeling and statistical skills, including causal modeling, experimental design, and large‑scale observational analysis.
• Strong technical proficiency in SQL, Python, and/or R, with experience on complex, high‑volume data systems.
• Strategic and systems thinking, able to connect business objectives, product strategy, and analytical methods end‑to‑end.
• Executive influence without authority, shaping decisions through rigor, clarity, and credibility.
• 10+ years of experience in data science, applied research, or advanced analytics roles at a principal or staff level.
• Retail, eCommerce, or marketplace experience is a plus, including pricing, supply chain, merchandising, or digital platforms.

Minimum Qualifications

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years of analytics experience; OR
• Master’s degree in the same fields and 3 years of analytics experience; OR
• 7 years of analytics or related experience.

Preferred Qualifications

• PhD in Machine Learning, Computer Science, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Publications or active peer review in related journals or conferences.
• Experience in Python, Spark, Scala, or R, and open‑source frameworks such as scikit‑learn, TensorFlow, or PyTorch.
• Knowledge of Web Accessibility Guidelines (WCAG 2.2 AA) and inclusive digital experience design.

Location

702 SW 8th St, Bentonville, AR 72716, United States

Benefits

Competitive pay, performance‑based bonuses, 401(k), stock purchase program, medical/vision/dental coverage, PTO, parental leave, military leave pay, adoption & surrogacy reimbursement, and Walmart‑paid education benefits.

Walmart maintains a drug‑free workplace with a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.