Senior, Data Scientist

Position Summary

Senior Data Scientist:
Causal AI & Intelligent Actions. 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.

• 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.

You will be given a massive dataset, a critical business objective (Customer Experience), and the freedom to design the solution. This is a rare opportunity to combine forecasting, anomaly detection, and causal AI into a single, cohesive autonomous system at the scale of Walmart.

At Walmart, we offer competitive pay as well as performance‑based bonus awards and other great benefits for a happier mind, body, and wallet.

Benefits include medical, vision and dental coverage; 401(k); stock purchase and company‑paid life insurance; PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting; 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 for vacation, sick leave, holidays, or other purposes. The compensated pay range is $90,000.00 – $, with additional bonuses and stock options.

• Option 1:
  Bachelor’s degree in Statistics, Economics,…