✦ Luna Orbit — Data & Analytics

Data Scientist

at Opendoor Technologies

📍 Seattle, Washington, United States Hybrid 💰 $186K – $256K USD / year Posted March 13, 2026
Salary $186K – $256K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Bachelor's degree or higher in a quantitative field
Category Data & Analytics

This role involves leveraging large-scale data to generate insights, optimize product strategies, and support business growth through advanced analytics and experimentation.

  • Develop analytics models
  • Conduct statistical analyses
  • Design and execute experiments
  • Build data pipelines
  • Present insights to leadership

The position requires expertise in SQL, Python, statistical analysis, A/B testing, and building data pipelines, with a focus on e-commerce and marketplace data environments.

The ideal candidate is a senior data scientist with over 5 years of experience in analytics, proficient in SQL and Python, with a strong background in statistics and experimental design, ideally with e-commerce or marketplace experience.

SQLPythonStatisticsA/B testingData analysis
Machine LearningData pipelinesData visualizationExperimental designE-commerce experience
SQLPythonData pipelinesReporting dashboards
SQLPythonStatisticsA/B testingExperimental designData pipelinesData analysisData visualizationMachine LearningProduct analytics
SQLPythonStatisticsA/B testingExperimental designData pipelinesData analysisData visualizationMachine LearningProduct analyticsE-commerceMarketplaceCustomer behavior analysis
communicationproblem-solvingcollaborationbusiness intuitionself-motivation
Industry E-commerce / Technology
Job Function Drive product strategy and customer insights through advanced data science
SQLPythonStatisticsA/B testingExperimental designData pipelinesData analysisData visualizationMachine LearningProduct analyticsE-commerceMarketplaceCustomer behavior analysis

Lack of experience with SQL and Python, No background in statistics or experimental design, Limited experience in e-commerce or product analytics, Location outside Seattle

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