✦ Luna Orbit — Data & Analytics

Staff Data Scientist - Base

at Coinbase

📍 Remote - USA Remote Posted March 08, 2026
Type Full-Time
Experience mid
Exp. Years Not specified
Education BA / BS degree or higher
Category Data & Analytics

This role involves developing data-driven insights and models to support Coinbase’s growth and product strategy, working closely with cross-functional teams.

  • Devise testing plans and analyze product metrics
  • Build analytics and machine learning models
  • Measure business performance and develop core metrics
  • Create reports and communicate insights
  • Maintain data pipelines and models

Focus on data science, machine learning, experimentation, blockchain data analysis, and building scalable data pipelines using Python and SQL.

The ideal candidate is a mid-level data scientist with experience in blockchain data, analytics, and machine learning. They should have strong Python and SQL skills, with a background in experimentation and statistical analysis, capable of deriving insights to influence product growth.

Data ScienceMachine LearningPythonData PipelinesAnalytics
Blockchain DataExperimentation FrameworksAdvanced ModelingSQLStatistical Analysis
PythonSQLData PipelinesBlockchain Data
Data ScienceMachine LearningAnalyticsBlockchain DataData PipelinesPythonSQLExperimentationA/B TestingStatistical Analysis
Data ScienceMachine LearningAnalyticsExperimentationModelingBlockchain DataData PipelinesData ModelsPythonSQLA/B TestingStatistical Analysis
CommunicationCollaborationProblem-solvingAnalytical ThinkingStorytellingFeedback-oriented
Industry Fintech
Job Function Data science and analytics for product growth and decision making
Data ScienceMachine LearningAnalyticsBlockchain DataData PipelinesPythonSQLExperimentationA/B TestingStatistical AnalysisData ModelsData AnalysisDeep LearningModelingData-driven decision making

Lack of experience in data science or analytics, No experience with blockchain data, No proficiency in Python or SQL, Bachelor's degree not in relevant field

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