Data Scientist

A Staff data scientist would be expected to play an important role in developing and scaling data science solutions in order to achieve outstanding business outcomes for Marketplace.

• Working together with a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for marketing intelligence domain.
• Consult with business stakeholders across Marketplace functions regarding algorithm-based recommendations and be a thought‑leader to develop these into business actions.
• Mentor junior members and individually execute multiple projects at the same time.
• Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with the state-of-the-art in data science research.
• Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications.

• Very good knowledge of the foundations of machine learning and statistics and has made significant original contributions to the area in practice.
• Solid experience working with state-of-the-art agentic, Gen AI, supervised and unsupervised machine learning algorithms on real‑world problems, preferably in ecommerce domain.
• Strong Python coding skills and able to work with at least one other programming language such as Java or Scala.
• Ability to work in a big data ecosystem – expert in SQL/Hive and ability to work with Spark.
• Extensive experience building and deploying state‑of‑the‑art models (classic ML and deep learning).
• Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions.

• PhD with more than 6 years of experience or Master’s with more than 8 years of experience. Preferably in Computer Science or a related area, with relevant experience to the role.
• Good to have:
  Experience in ecommerce domain;
  Demonstrated success on data science platforms such as Kaggle.

Primary location: 10900 Ne 4th St, Bellevue, WA 98004, United States of America.

Competitive compensation including a base salary range of $132,000 to $264,000, performance-based bonuses, 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, disability coverage, and additional perks such as a discount card and education benefits.

Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.