Principal, Data Scientist - Applied Machine Learning
Listed on Walmart’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
Apply on Walmart’s careers site →Job description
- Tackle ambiguous, high-impact problems by translating product and business questions into scalable machine learning solutions.
- Build, evaluate, and iterate on advanced deep learning models for personalization, recommendation, and targeting.
- Design and apply rigorous offline metrics and online experimentation frameworks to measure model and system performance.
- Partner closely with Product and Engineering to align on scope, navigate technical tradeoffs, and drive execution across multiple teams.
- Define and champion best practices for modeling, experimentation, and ML development, with a focus on robustness, scalability, and maintainability.
- Provide technical leadership through design reviews, collaboration, and hands-on problem solving while helping raise the quality and impact of machine learning solutions. What you'll bring
- Extensive experience designing, training, and deploying machine learning models for real-world systems, particularly in personalization, recommendation, ranking, or targeting.
- Deep technical foundations in machine learning and statistics, including representation learning, deep learning architectures, optimization, experimentation, and model evaluation.
- Production Python experience, expertise with distributed data tools such as PySpark, and proficiency with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Proven ability to lead ambiguous, technically complex initiatives spanning multiple stakeholders from problem formulation through deployment and evolution.
- Experience influencing technical direction, establishing best practices, and driving high-quality machine learning solutions through technical leadership. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
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.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart .
San Francisco, California US-11873
The annual salary range for this position is $143,000.00 - $286,000.00 New York, New York US-11882: The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
Qualifications
Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
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