Principal, Data Scientist

Position Summary

A principal data scientist would be expected to play a lead technical role in architecting data science solutions in order to achieve outstanding business outcomes for Marketplace.

• Work closely with a team of data scientists and solve business problems by applying advanced machine learning algorithms and complex statistical models on large volumes of data.
• Demonstrate strong thought‑leadership and consult with product and business stakeholders to build, scale, and deploy holistic data science products after successful prototyping.
• Mentor and guide junior team members in achieving data science outcomes and handle multiple products and initiatives.
• Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing toward publications and patents.
• Participate in internal technical councils and represent the organization in forums that involve a community of data scientists across industry and academia.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

• Demonstrable experience of architecting large scale ML systems.
• Deep knowledge of the foundations of machine learning and statistics and has made significant original contributions to the area both in research and practice.
• Solid experience working with state‑of‑the‑art Agentic, Gen AI, supervised and unsupervised machine learning algorithms on real‑world problems, preferably in e‑commerce 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.
• Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions.

• PhD with >10 years of experience / Master’s degree with >12 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 e‑commerce domain.
• Demonstrated success in data science platforms like Kaggle.

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.

Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company‑paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

The annual salary range for this position is $ - $. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.

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.

Option 1:
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2:
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer…