W

Walmart

Sells groceries and essentials in stores and online

Distinguished Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A PhD or master's degree in Statistics, Economics, Econometrics, Computer Science, or a related quantitative field; a PhD is strongly preferred.
  • At least 8 years of experience in data science or quantitative research; advertising-industry experience is preferred.
  • Specialized expertise in causal inference and/or incrementality-based optimization, including randomized control trials, PIE model, instrumental variables, uplift deep neural networks, regression discontinuity, and related methods.
  • Strong command of experiment design at scale, including power analysis, variance reduction, interference and spillover handling, and bias correction.
  • Proficiency in Python and SQL for large-scale data analysis, and experience with distributed data platforms such as Spark or BigQuery, or equivalent.
  • Strong statistical foundations and machine learning knowledge.
  • Minimum qualification alternatives: bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and six years of analytics-related experience; or master's degree in those fields and four years of analytics-related experience; or eight years of experience in an analytics or related field.

Responsibilities

  • Design and implement large-scale causal inference methodologies to measure the true incremental lift of advertising across campaigns, channels, and segments.
  • Establish evaluation frameworks, exit criteria, and solution-readiness standards for causal inference methodologies, grounding the approach in hypotheses and data validations.
  • Author high-quality technical design documents and whitepapers, and present them to senior leadership.
  • Define the science roadmap for incrementality and causal measurement, prioritize the highest-leverage problems, and make principled trade-offs.
  • Develop event-grain incrementality models, including uplift deep neural networks, to power advertising bidding optimization.
  • Partner with engineers to design data pipelines and schemas that meet the precision requirements of causal measurement at scale.
  • Mentor senior- and mid-level scientists, and develop technical vision and strategy.

Desired Qualifications

  • Advertising-industry experience.
  • A PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
  • Publications or active peer-reviewer experience in related journals or conferences.
  • Successful completion of one or more assessments in Python, Spark, Scala, or R.
  • Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
  • A background creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines 2.2 AA standards, assistive technologies, and accessibility best practices.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

Recently Posted Jobs

Explore more opportunities at Walmart

See more jobs