(USA) Senior, Data Scientist

Walmart • Bentonville, AR

1d • $90,000 - $180,000 • Onsite

About The Position

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'll 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.

Requirements

• Expert proficiency in Python and SQL.
• Strong hands-on experience with PySpark (Databricks/Hadoop).
• A strong understanding of causal frameworks (e.g., Do-calculus, DAGs, Instrumental Variables).
• Solid command of forecasting methodologies (e.g., ARIMA, Prophet, ETS) and an understanding of how to model seasonality and trend.
• 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.
• You have experience or a strong interest in building systems that automate decisions, not just dashboards.
• You can look at an open-ended business problem ("Reduce late deliveries") and decompose it into a solvable data science architecture.

Nice To Haves

• Experience in Logistics, Supply Chain, or last-mile operations is a significant plus.
• 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.

Responsibilities

• Architect the Anomaly Detection Layer: Design robust mechanisms to identify irregularities in delivery operations.
• Build Causal Discovery Agents: Develop the logic that automatically triggers when an anomaly is detected.
• Develop Prescriptive Recommendation Engines: Bridge the gap between "insight" and "action."
• Leverage Time-Series Forecasting: Utilize advanced forecasting methods to predict future operational states
• Scale Data Operations: Write production-grade Python and SQL.
• Define the Roadmap: As a senior member of the team, you will evaluate the trade-offs between different modeling approaches

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees