(USA) Senior, Data Scientist

Walmart • Bentonville, AR

1d • $90,000 - $180,000

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 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. What You Will Bring Technical Essentials 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. Methodological Depth 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. The "Agentic" Mindset 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. Why Join Us? 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. 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 $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ 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.

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.
• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• 5 years' experience in an analytics or related field.

Nice To Haves

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

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 (volume, latency, driver availability).
• 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 (e.g., Deep Learning vs. Classical Stats) and advise leadership on the most effective path to value.

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.
• 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: Senior