✦ Luna Orbit — Data & Analytics

Data Scientist II, Amazon Business

at Amazon.com

📍 US, WA, Seattle Unknown Posted April 15, 2026
Type Full-Time
Experience mid
Exp. Years 2+ years (data scientist experience); 3+ years (SQL/Python and ML/statistical modeling techniques)
Education MS in Statistics, Applied Math, Operations Rese (truncated in posting)
Category Data & Analytics

Amazon Business is hiring a Data Scientist II to lead research and thought leadership for data and insights strategy. The role focuses on building predictive and optimization models and detection systems that analyze customer behavior to identify abuse and fraud.

  • Frame business problems into scalable solutions
  • Gather data required for analysis and model building
  • Prototype predictive and optimization models using R and Python
  • Create and track accuracy and performance metrics
  • Create, enhance, and maintain technical documentation

You will design, implement, and prototype machine learning models using Python/R and data querying with SQL, leveraging Amazon Web Services (AWS). Responsibilities include creating accuracy and performance metrics, producing technical documentation, and working with cross-functional teams to move prototypes toward production.

The ideal candidate is a mid-level Data Scientist with 2+ years of Data Scientist experience and strong hands-on experience in SQL and Python for machine learning and statistical modeling. They have built predictive and optimization models, created detection systems for abuse and fraud, and can measure accuracy and performance while collaborating with cross-functional business and software teams.

2+ years of data scientist experience3+ years of data querying languages (e.g. SQL)3+ years of scripting languages (e.g. Python)3+ years of machine learning/statistical modeling data analysis tools and techniquesMS in StatisticsApplied MathOperations Rese
transforming prototypes to production
Amazon Web Services (AWS)SQLPythonRSASMatlabhigh-level modeling languages (R)
predictive modelingoptimization modelsdetection systemscustomer behavior analysismachine learningfraud detectionabuse identificationdata queryingSQLPythonRSASMatlabaccuracy metricsperformance metricstechnical documentationAWSAmazon Web Services
predictive modelingoptimization modelsdetection systemscustomer behavior analysismachine learningfraud detectionabuse identificationdata queryingSQLPythonRSASMatlabstatistical/mathematical softwaredata analysis tools and techniquesmodel prototypingaccuracy metricsperformance metricstechnical documentationproductionization (transforming prototypes to production)
self-starterlearn on the goexcellent written and verbal communicationcross-functional collaborationworking with ambiguous problemscomfort working with complex business and research science problemsproblem framing
Industry SaaS
Job Function Build and deploy machine learning models and detection systems to drive Amazon Business data insights and fraud prevention.
Role Subtype Data Scientist
Tech Domains Amazon Web Services, Python, SQL / PostgreSQL, AI & Machine Learning
Data ScientistData Scientist IImachine learningpredictive modelingoptimization modelsdetection systemsfraudabuseSQLPythonRSASMatlabstatistical/mathematical softwaredata queryingaccuracyperformance metricsAWSAmazon Web Servicestechnical documentationcross-functional teamsprototype modelsproductioncustomer behaviorfraud detectionaccuracy metricscross-functional

2+ years of data scientist experience, 3+ years experience with SQL, 3+ years experience with Python (or equivalent scripting language listed), 3+ years machine learning/statistical modeling data analysis tools and techniques, Minimum MS requirement in Statistics/Applied Math/Operations Rese (as stated, truncated)

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