✦ Luna Orbit — Data & Analytics

(USA) Senior, Data Scientist

at Walmart

📍 Bentonville, AR Unknown 💰 $90K – $180K USD / year Posted March 13, 2026
Salary $90K – $180K USD / year
Type Not Specified
Experience senior
Exp. Years 1-3 years
Education Bachelor's in a STEM or related field plus three years of related experience or Master's in a STEM or related field plus one year of related experience
Category Data & Analytics

This role involves analyzing large-scale data to identify fraud trends, creating dashboards, and supporting Walmart's fraud detection and risk management efforts.

  • Analyze high-dimensional datasets
  • Build dashboards and reports
  • Identify fraud patterns
  • Ensure data quality
  • Support data-driven decisions

The technical environment includes SQL, Python, R, BigQuery, Hive, Spark, and data modeling techniques for large datasets and real-time analysis.

The ideal candidate is a senior data scientist with expertise in analyzing large datasets, building dashboards, and applying statistical methods to detect fraud and generate actionable insights. They are proficient in SQL, Python, R, and big data tools, with strong communication skills.

SQLPythonData analysisData visualizationData modeling
TableauPower BILookerBigQueryHiveSpark
SQLPythonRTableauPower BILookerBigQueryHiveSpark
SQLPythonRData analysisData visualizationBigQueryHiveSparkData modelingData engineering
SQLPythonRData analysisData visualizationBigQueryHiveSparkData modelingData engineering
CommunicationAnalytical thinkingProblem-solvingCollaborationVisualization skills
Industry Retail / E-commerce / Data Science
Job Function Transform complex data into actionable insights for fraud detection and risk management
Role Subtype Senior Data Scientist
Tech Domains SQL, Python, R, BigQuery, Hive, Spark
Senior Data ScientistData analysisData visualizationSQLPythonRBigQueryHiveSparkData modelingData engineeringData qualityData validationReal-time datasetsFraud detectionBusiness insights

Lack of experience with big data tools, No proficiency in SQL or Python, Unwilling to work in a hybrid environment, Insufficient experience with data analysis or visualization

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