Staff Data Scientist, Growth Optimization

1 week ago


San Francisco California, United States Hinge-Health Full time
About the Role

We are seeking a highly skilled Staff Data Scientist to join our Growth organization. As a key member of our Data Science team, you will work closely with Growth Marketers and channel leads to drive new user acquisition, onboarding, and early lifecycle retention through deep dive analysis, experimentation, and model development.

Key Responsibilities
  • Developing measurement frameworks for our growth channels
  • Standing up self-serve performance analysis dashboards for core channels
  • Developing hypotheses for channel optimization and efficiency, user growth, and leading growth channel experimentation
  • Explaining root causes of business performance and working with Growth Marketers to develop actions to accelerate growth
  • Working with Data Engineers to build growth data models and ensure accurate / efficient ingestion / transformation of required datasets
  • Building out Hinge Health's channel attribution model and cost optimization functions
Requirements
  • 8+ years experience working with large datasets to solve business and technology problems
  • Experience working in Growth on problems like attribution, channel performance optimization, CAC optimization, and experimentation
  • Experience working with scientific computing languages (R / Python) and SQL
  • Experience with BI/visualization tools like Mode Analytics
  • Experience in model development, validation and implementation
Preferred Qualifications
  • Bachelor's Degree in Computer Science, Economics, Mathematics or related technical degree
  • Ability to work autonomously, cross-functionally, and with minimal guidance
  • The ability to communicate results clearly and a focus on driving impact
  • Knowledge of time series, statistics, and / or machine learning
Compensation

This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $182,400-$273,600.


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