Staff, Data Scientist

What you'll do

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.

Position Requirements

• 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/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.

Qualifications

• PhD with > 6 years of experience / Master’s degree with > 8 years of experience.
• Educational qualifications should be preferably in Computer Science or a related area.
• Experience should be relevant to the role.

Good to have

• Experience in ecommerce domain.
• Demonstrated success in data science platforms like Kaggle.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD 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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

The ideal candidate would have 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.

Primary Location

10900 Ne 4th St, Bellevue, WA 98004, United States of America