Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Walmart

Senior Data Scientist

Walmart

. Extract and validate data from multiple sources .

Posted 10/15/2026full-timeUnited StatesSenior💰 $108,000 - $234,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in machine learning, data mining, and predictive modeling to develop scalable analytics solutions for fraud detection. Proficient in collaborating with cross-functional teams to deliver insights and ensure data governance and quality standards.

Highest-signal resume keywords
Machine Learning ExpertiseData Mining ProficiencyPython Programming SkillsExperience with GCP/BigQueryKnowledge of WCAG 2.2 AA Standards

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Predictive ModelingData ValidationStatistical AnalysisAnomaly DetectionData VisualizationBig Data AnalyticsProgramming in JavaProgramming in JavaScriptExperience with TensorFlowExperience with scikit-learn
Soft Skills
MentoringCollaborationStrategic PartnershipStorytelling
Tools & Technologies
Python PackagesUNIXLinuxSparkScalaR
Industry Keywords
Fraud DetectionData GovernanceDigital AccessibilityAssistive TechnologiesOptimization Models

Tech Stack

Tools & technologies
BigQueryGoogle Cloud PlatformJavaJavaScriptLinuxOpen SourcePythonScalaScikit-LearnSparkTensorflowUnix

About the role

Key responsibilities & impact
  • Extract and validate data from multiple sources
  • Design, build, and implement predictive models using high-dimensional, fast-moving real-time datasets
  • Develop and prototype scalable predictive models and analytics solutions for fraud detection
  • Own fraud and abuse risks for a product or product segment
  • Partner strategically with product development teams by sharing insights and recommendations
  • Apply machine learning, AI, deep learning, data mining, and anomaly detection techniques, including bot detection
  • Build data visualizations and interactive dashboards for monitoring and sharing business insights
  • Collaborate with Data Scientists, Engineers, Product Managers, and Business professionals across data science, big data, IT infrastructure, and business operations
  • Conduct research and pursue US patent filings to address fraud issues, develop tools, or automate processes
  • Mentor team members and ensure alignment with data governance and quality standards

Requirements

What you’ll need
  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or
  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field; or
  • 5 years' experience in an analytics or related field
  • Technical expertise in machine learning, statistical analytical, and storytelling
  • Proficiency in machine learning and data mining packages in Python
  • Experience working with large data sets and distributed computing tools
  • Programming skills in Java or JavaScript on a UNIX or Linux platform
  • GCP/BigQuery experience preferred
  • Production deployment experience preferred
  • GenAI/Agentic AI experience preferred
  • Preferred experience or knowledge in data science, machine learning, optimization models, open source frameworks such as scikit-learn, TensorFlow, or Torch
  • Successful completion of one or more assessments in Python, Spark, Scala, or R preferred
  • Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices preferred

Benefits

Comp & perks
  • Performance-based bonus awards
  • Medical, vision, and dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO, including sick leave
  • Parental leave
  • Family care leave
  • Bereavement leave
  • Jury duty leave
  • Voting leave
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
  • Live Better U Walmart-paid education benefit program
  • Tuition, books, and fees completely paid for by Walmart
  • Stock
  • Annual or quarterly performance bonuses