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Position Summary...

What you'll do...

What you’ll do

+ **Lead** the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast.

+ **Continuously enhance forecasting strategies** by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting.

+ **Advance causal modeling frameworks** to quantify event impacts and integrate causal insights into forward-looking forecasts.

+ Build and maintain **experimentation pipelines** (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions.

+ Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines.

+ Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray).

+ Act as technical lead on multiple projects, balancing research rigor with business delivery.

What you’ll bring

+ Strong foundation in **Time Series Forecasting** , **Causal Inference** , **Statistical Analysis,** and advanced **Machine Learning** methods

+ Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios.

+ Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions.

+ Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries.

+ Experience deploying ML systems at scale on cloud platforms (GCP/Azure).

Great to have

+ Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods).

+ Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring.

+ Background in retail, e-commerce, or operations analytics.

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.

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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.

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For information about PTO, see https://one.walmart.com/notices .

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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.

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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.

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For information about benefits and eligibility, see One.Walmart (https://bit.ly/3iOOb1J) .

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Sunnyvale, California US-04396:The annual salary range for this position is $143,000.00-$286,000.00

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Bentonville, Arkansas US-09050:The annual salary range for this position is $110,000.00-$220,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- 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 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...

805 Se Moberly Ln, Bentonville, AR 72712, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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 diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.