✦ Luna Orbit — AI & Machine Learning

Data Scientist, AppStar Data Analytics & Engineering

at Amazon.com

📍 US, NY, New York Unknown Posted March 24, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves developing machine learning models and data-driven solutions to identify and analyze security risks, utilizing large datasets and advanced analytics techniques.

  • Build ML models
  • Conduct data analysis
  • Develop security algorithms
  • Create predictive models
  • Analyze security datasets

The position requires expertise in machine learning, statistical modeling, data analysis, and security data processing, with proficiency in Python and large language models.

The ideal candidate is a mid-level data scientist with strong expertise in machine learning, statistical modeling, and data analysis, with experience working on security-related datasets and leveraging AI techniques.

Machine learningData analysisStatistical modelingFeature engineeringData correlation pipelines
Large Language ModelsSecurity data analysisPredictive modelingClustering algorithmsForecasting
PythonData ScienceMachine LearningLarge Language Models
Machine LearningData ScienceStatistical ModelingPredictive AlgorithmsData AnalysisFeature EngineeringLarge Language ModelsSecurity DataClustering AlgorithmsForecastingSecurity AnalyticsPythonData CorrelationData Pipelines
Machine LearningData ScienceStatistical ModelingPredictive AlgorithmsData AnalysisFeature EngineeringLarge Language ModelsSecurity DataPythonData CorrelationClustering AlgorithmsForecastingSecurity Analytics
CuriosityBusiness JudgmentProblem-solvingCollaborationAnalytical ThinkingInnovation
Industry Technology / Security / Data Science
Job Function Data science and machine learning for security analytics
Role Subtype Data Scientist
Tech Domains Python, Data Science, Machine Learning, Security Data
machine learningdata sciencestatistical modelingpredictive algorithmsdata analysisfeature engineeringlarge language modelssecurity dataclustering algorithmsforecastingsecurity analyticsPythondata correlationsecurity data analysisdata pipelinessecurity risk

Lack of experience with machine learning or data analysis, No familiarity with security data, Inability to work with large datasets, No experience with statistical modeling

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