(USA) Senior, Data Scientist
Walmart
Data Science
USD 90k-180k / year + Equity
Posted on Feb 20, 2026
Position Summary...
What you'll do...
Senior Data Scientist: Causal AI & Intelligent Actions The Mission The Walmart Last Mile team is building the next generation of proactive logistics. We are moving beyond simple tracking to build an Automated Recommendation Agent—a system designed to monitor network health, identify anomalies, diagnose root causes, and prescribe corrective actions. We are looking for a Senior Data Scientist who brings a diverse toolbox. You won't just run a model; you will determine how we detect signal from noise (whether via forecasting, statistical thresholds, or unsupervised learning), why the issue occurred (Causal AI), and what we should do about it. What You Will Do- Architect the Anomaly Detection Layer: Design robust mechanisms to identify irregularities in delivery operations. You will determine the best approach—whether comparing real-time data against time-series forecasts, utilizing unsupervised clustering for outlier detection, or applying statistical control limits.
- Build Causal Discovery Agents: Develop the logic that automatically triggers when an anomaly is detected. You will use Causal Inference techniques to traverse the data and pinpoint the true root cause (RCA), distinguishing between systemic network issues and localized friction.
- Develop Prescriptive Recommendation Engines: Bridge the gap between "insight" and "action." You will build the algorithmic logic that evaluates the root cause and recommends the optimal intervention (e.g., Re-route, Incentivize, or Notify) to mitigate the impact.
- Leverage Time-Series Forecasting: Utilize advanced forecasting methods to predict future operational states (volume, latency, driver availability). You will use these predictions as baselines for health monitoring and to simulate the future impact of your recommended actions.
- Scale Data Operations: Write production-grade Python and SQL. Use PySpark to engineer features and run your agents against massive, distributed datasets of telemetry and transactional signals.
- Define the Roadmap: As a senior member of the team, you will evaluate the trade-offs between different modeling approaches (e.g., Deep Learning vs. Classical Stats) and advise leadership on the most effective path to value.
- Core Stack: Expert proficiency in Python and SQL.
- Big Data: Strong hands-on experience with PySpark (Databricks/Hadoop). You are comfortable processing terabytes of data to extract meaningful signals.
- Causal Inference: A strong understanding of causal frameworks (e.g., Do-calculus, DAGs, Instrumental Variables). You know how to move beyond correlation to establish causality in observational data.
- Time Series & Forecasting: Solid command of forecasting methodologies (e.g., ARIMA, Prophet, ETS) and an understanding of how to model seasonality and trend.
- Anomaly Detection: Experience with a variety of detection techniques (e.g., Isolation Forests, Autoencoders, Statistical Process Control) and the ability to choose the right one for the specific data profile.
- System Builder: You have experience or a strong interest in building systems that automate decisions, not just dashboards.
- Problem Solving: You can look at an open-ended business problem ("Reduce late deliveries") and decompose it into a solvable data science architecture.
- Domain Awareness: Experience in Logistics, Supply Chain, or last-mile operations is a significant plus.
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 $90,000.00 - $180,000.00 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- 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.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, Master’s degree 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.

















