✦ Luna Orbit — Data & Analytics

Data Scientist II, Amazon Stores Finance Science

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 18, 2026
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Not specified
Category Data & Analytics

This role involves leading high-visibility forecasting initiatives for Amazon Stores' financials, utilizing advanced data science techniques and models to improve financial planning and decision-making.

  • Develop forecasting models
  • Collaborate with stakeholders
  • Analyze financial data
  • Build scalable ML solutions
  • Present research findings

The environment includes SQL, Python, R, SAS, Matlab, and large-scale ML and statistical modeling for financial forecasting.

The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, statistical modeling, and data analysis, with strong skills in SQL and Python. They should be capable of leading high-visibility forecasting projects for large-scale financial data.

SQLPythonMachine LearningStatistical Modeling
Ph.D.Time Series ForecastingData EngineeringLarge-scale ML modelsCross-disciplinary projects
SQLPythonRSASMatlab
SQLPythonRSASMatlabMachine LearningStatistical ModelingForecastingTime Series
SQLPythonRSASMatlabMachine LearningStatistical ModelingForecastingTime SeriesData AnalysisData Querying
communicationproblem-solvingcollaborationbusiness judgmentanalytical thinking

Preferred

Ph.D. in ScienceTechnologyEngineeringor Mathematics
Industry Technology
Job Function Lead financial forecasting projects using data science and machine learning
Role Subtype Data Scientist
Tech Domains SQL, Python, R, SAS, Matlab
data scientistmachine learningstatistical modelingforecastingtime seriesdata analysisSQLPythonRSASMatlablarge-scale modelscross-disciplinary projectsdata engineeringpredictive modelingfinancial modeling

Lack of experience with SQL or Python, No background in statistical modeling or ML, Less than 2 years of relevant experience

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