Staff Data Scientist, Machine Learning – Fraud & Risk

Walmart

. Architect machine learning solutions for complex and ambiguous business problems .

Posted 11/11/2026full-timeSunnyvale • California • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and deploying machine learning solutions, with a strong focus on data exploration, predictive modeling, and data visualization. Proficient in collaborating with cross-functional teams to translate business requirements into actionable insights while ensuring data quality and integrity.

Highest-signal resume keywords

Machine Learning Solutions ArchitectureData Exploration and AnalysisPredictive Modeling and Deep LearningPython ProficiencyData Visualization with Tableau or PowerBI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsDeep Learning TechniquesPredictive AnalyticsStatistical MethodsData Quality AssessmentMLOpsData MiningData Governance PrinciplesBig Data AnalyticsUnstructured Data Processing

Soft Skills

Effective CommunicationMentoring Team MembersCollaboration

Tools & Technologies

PythonMatplotlibPlotlyTableauPowerBICloud Services

Industry Keywords

Data ScienceData StrategyData Quality StandardsData-Driven SolutionsCustomer Engagement

Tech Stack

Tools & technologies

CloudPythonTableau

About the role

Key responsibilities & impact

Architect machine learning solutions for complex and ambiguous business problems
Perform hands-on data exploration, processing, and analysis on massive datasets
Develop scalable predictive models using statistical, machine learning, deep learning, LLM, data mining, and GenAI techniques
Design low-latency cloud services to host and productionize models
Research advanced algorithms for challenging business problems
Communicate results through presentations, publications, and internal or external conferences
Identify and source relevant data from multiple business domains and databases
Perform data quality assessments and ensure data integrity
Design and implement data visualizations
Collaborate with cross-functional teams to translate business requirements into data-driven solutions
Deploy and monitor models in production environments
Mentor team members on analytical methods, coding best practices, and solution design
Support Walmart U.S. stores and eCommerce through customer engagement, store operations, merchant tools, data science, and personalized search solutions

Requirements

What you’ll need

Immigration sponsorship is not available; applicants must be authorized to work for any employer in the United States without current or future visa sponsorship
Ph.D. in a related quantitative field with 5+ years of relevant industry experience, or Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production
Bachelor's degree in a listed field and 4 years' experience in an analytics-related field, or Master's degree in a listed field and 2 years' experience, or 6 years' experience in an analytics or related field
Proven expertise in data science, predictive analytics, machine learning algorithms, and deep learning techniques
Proficiency in Python
Experience with Matplotlib, Plotly, Tableau, or PowerBI
Knowledge of data strategy, data quality standards, and data governance principles
Experience with big data analytics, unstructured data processing, and MLOps
Ability to assess, validate, and tune models using statistical methods and evaluation metrics
Ability to translate complex business requirements into data-driven solutions and actionable insights
Effective communication skills to present data findings and guide junior team members

Benefits

Comp & perks

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO
Multiple health plans