Staff, Data Scientist
Walmart
Data Science
United States · California, USA · Texas, USA · Tampa, FL, USA · Sunnyvale, CA, USA · Remote
USD 143k-286k / year + Equity
Posted on May 28, 2026
Position Summary...
About the Role We’re looking for a Staff Data Scientist to design and build advanced retrieval, relevance, ranking, bidding, targeting recommendation models to ensure good Walmart customer and advertiser’s experience that power critical advertising business growth. You’ll build and deploy state-of-the-art prediction models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as foundation models for unifying all different tasks. You’ll partner closely with engineering, product, and stakeholders to deliver measurable impact at scale.What you'll do...
- Design and deploy statistically and ML models to address high-impact financial forecasting needs, ensuring alignment with Walmart’s business objectives.
- Perform statistical analysis across large data sets and within defined segments to empower data driven decisions.
- Own E2E predictive model lifecycle, including scoping, feature engineering, model development, experimentation, monitoring and ongoing performance optimizations.
- Develop advanced time series solutions using:
- Statistical methods (ETS, ARIMA/SARIMA, State Space Models)
- ML approaches (GBMs, Random Forests, linear/elastic models with engineered time features)
- Deep learning and foundation model (FM, MMOE, PLE, HSTU)
- Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian approaches, conformal prediction, prediction intervals)
- Establish strong evaluation and monitoring: backtesting, leakage prevention, stability checks, drift detection, calibration of uncertainty, and post-deployment performance tracking.
- Drive best practices in MLOps and production readiness: reproducible pipelines, scalable training/inference, model versioning, and governance.
- Build Agentic workflows to enable conversational agentic framework for explainability and scenario planning.
- Collaborate with cross-functional partners including Product, Business, Data Science and Engineering.
- Mentor other data scientists, set modeling standards, and influence technical direction across teams.
- 8+ years in data science / applied ML (or PhD + 5 years), with deep hands-on exposure to forecasting and predictive modeling.
- Demonstrated experience delivering production grade ML models with measurable business outcomes.
- Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and modern architectures for time series.
- Practical experience with explainable AI methods and communicating model reasoning to non-technical stakeholders.
- Excellent coding skills in Python; strong grasp of software engineering fundamentals (testing, packaging, code reviews).
- Ability to translate ambiguous business problems into rigorous modeling plans and deliver results.
- High attention to detail and an ownership mindset in managing multiple high-impact projects.
- Experience with graph neural networks (PyG/DGL), spatiotemporal GNNs, or temporal graph learning.
- Experience with causal inference or decision-focused forecasting (uplift, impact estimation, counterfactuals, policy evaluation).
- Familiarity with large-scale data/compute: Spark, distributed training, feature stores, GPU workflows.
- Experience building human-centered explainability: dashboards, driver decomposition, “why changed” analysis, model cards.
- Publications, patents, or open-source contributions in time series, XAI, or graph learning.
- Proficiency in Python, Sql and data visualization tools.
- Experience using PyTorch/TensorFlow; scikit-learn; XGBoost/LightGBM and other models for production grade models.
- Experience building solutions with time series libraries (statsmodels, Prophet-like tools, etc.)
- Interest and exposure to explainability: SHAP, Integrated Gradients, permutation importance, counterfactuals.
- Nice to have:
- Experience with data platforms like Spark/Databricks, Airflow, Kubernetes
- MLOps/AgentOps experience in deployment model and/or Agentic workflows at scale.
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
Benefits:
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.
Equal Opportunity Employer:
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 inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 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.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 fieldPreferred 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.