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Walmart Canada · 4 months ago

(USA) Senior, Data Scientist

Sunnyvale, CA

Full-time

Onsite

Senior Level

$117K/yr - $234K/yr

5+ years exp

Walmart Canada is seeking a Senior Data Scientist to join their Decision Management Team, which focuses on optimizing risk decision strategies for their e-Commerce Marketplace program. The role involves driving analytical insight and developing technical models to detect and mitigate fraud and performance risks using advanced data science techniques.

DeliveryRetailShopping

Responsibilities

Develop Risk Mitigation Models using machine learning, anomaly detection, and statistical techniques to identify and respond to emerging risk trends on the Marketplace platform

Analyze Risk Patterns by exploring large datasets to uncover emerging fraud tactics, behavioral anomalies, and areas of business exposure

Develop Predictive Models using supervised and unsupervised learning techniques to power risk detection systems at scale

Lead Deep-Dive Analytics to inform risk policy, product decisions, or operational strategies—identifying key drivers, trends, and optimization opportunities

Integrate Agentic AI Frameworks to support semi-autonomous risk detection systems that can adapt and respond to evolving fraud patterns in real-time

Explore Generative AI (GenAI) Applications for synthetic data generation, anomaly simulation, or scenario modeling to improve risk model robustness

Collaborate Cross-Functionally with product, engineering, and operations teams to ensure seamless integration of data science solutions into business workflows

Monitor Model Performance and proactively identify areas for improvement using quantitative metrics, feedback loops, and model diagnostics

Bridge Analytics and Science by combining robust data analysis with model development to create solutions that are both explainable and effective

Translate Insights into Action by communicating complex analytical findings clearly to both technical and non-technical stakeholders

Design and Execute Experiments (e.g., A/B tests, statistical validations) to evaluate model impact and improve decision strategies

Qualification

Machine LearningStatistical ModelingData ExplorationAnomaly DetectionPythonSQLData VisualizationBig Data TechnologiesCommunicationProblem-Solving Mindset

Required

Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or related field, with 5+ years of hands-on experience in data science, machine learning, or risk management

Master's degree in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics) with at least 3+ years of applied experience working on data-driven risk management or fraud prevention

6-8 years of direct experience in data science, machine learning, or applied risk management within an e-commerce or marketplace setting

Strong understanding of machine learning, data exploration, statistical modeling, and their application to risk and fraud detection in digital marketplaces

Demonstrated experience developing and deploying models to identify anomalous behavior, detect fraud, or assess risk in real-time systems

Proficiency in Python, SQL, and data science libraries/frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch

Familiarity with Agentic AI systems or AI agents—understanding of how autonomous models can be leveraged in dynamic decision environments

Experience conducting experimentation and model validation using rigorous statistical methods (e.g., A/B testing, ROC/AUC, precision/recall)

A strong problem-solving mindset and ability to translate ambiguous business problems into clear analytical frameworks

Excellent written and verbal communication skills, with the ability to explain technical concepts to diverse audiences

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) to craft compelling insights

Preferred

Expertise in using advanced machine learning techniques such as deep learning, reinforcement learning, or anomaly detection for fraud detection or risk mitigation

Understanding of LLMs, agentic workflows, or prompt engineering concepts in the context of AI-enhanced decision systems

Experience with big data technologies like Apache Spark, Hadoop, and cloud-based data solutions (e.g., AWS, Google Cloud) to build scalable risk management platforms

Proficiency in data manipulation and analysis tools such as Pandas, NumPy, and SQL for data wrangling, feature engineering, and analysis

Strong background in model evaluation techniques including ROC/AUC, confusion matrices, precision/recall, and F1 scores, as well as experience with A/B testing and model validation

Benefits

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.