(USA) Senior, Data Scientist

Wal-Mart.com USA•Bentonville, AR
•Onsite

About The Position

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves designing robust models, performing exploratory data analysis, and ensuring scalable implementation while maintaining data quality and governance standards. You will collaborate across functions to translate complex business challenges into actionable insights, mentor team members, and contribute to continuous improvement initiatives that enhance decision-making and operational efficiency within a dynamic data ecosystem. Our team combines expertise in data engineering, software engineering, data science, and business analysis to deliver precise, production-ready solutions aligned with business goals. We develop enterprise-scale machine learning systems integral to every Walmart customer transaction, focusing on extracting and processing product attributes that ensure accurate taxation across all sales channels. Our work impacts every checkout and receipt, driving significant real-world outcomes. Collaborating closely with business stakeholders, we translate complex challenges into scalable AI applications, continuously enhancing model performance to support Walmart’s operational excellence and innovation at scale.

Requirements

  • Extensive experience in data science, machine learning, and advanced analytical modeling techniques.
  • Proficiency in Python programming, SQL, and data engineering practices.
  • Strong knowledge of data visualization tools and best practices to communicate complex insights effectively.
  • Expertise in data quality assessment, data source identification, and data strategy implementation.
  • Ability to develop, test, validate, and deploy scalable analytical models in production environments.
  • Solid understanding of business domains and ability to translate business requirements into data-driven solutions.
  • Experience mentoring junior associates and collaborating cross-functionally to achieve business objectives.
  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
  • 5 years' experience in an analytics or related field.

Nice To Haves

  • Data science, machine learning, optimization models
  • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Successful completion of one or more assessments in Python, Spark, Scala, or R
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)
  • Creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
  • Knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

  • Identify and source relevant data from multiple business domains, ensuring data quality and fitness for purpose.
  • Develop, test, and deploy advanced analytical models using Python to solve complex business problems.
  • Perform exploratory data analysis and feature engineering to enhance model accuracy and robustness.
  • Collaborate with stakeholders to translate business requirements into data-driven solutions and actionable insights.
  • Create clear, impactful data visualizations to communicate findings effectively to technical and non-technical audiences.
  • Mentor junior team members on modeling techniques and best practices.
  • Support scalability and sustainability of deployed models in production environments.

Benefits

  • Competitive pay
  • Performance-based bonus awards
  • Medical coverage
  • Vision coverage
  • Dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO (including sick leave)
  • Parental leave
  • Family care leave
  • Bereavement leave
  • Jury duty leave
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption expense reimbursement
  • Surrogacy expense reimbursement
  • Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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