Senior Data Scientist, Hinge Health

• Bachelor’s Degree (or equivalent) in Computer Science, Economics, Mathematics or related technical field
• 4+ 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

Desirable

• You will join our Data Science team as Senior Data Scientist in the Growth organization
• You will work closely with Growth Marketers and channel leads in using growth channels to drive new user acquisition, onboarding, and early lifecycle retention through deep dive analysis, experimentation, and model development [attribution, cost curves]
• More specifically, you will help us with channel optimization of our core deployments, email and mailer, help us understand the value of investments from a conversion and CAC efficiency perspective
• Developing measurement frameworks for our growth channels
• Standing up self-serve performance analysis dashboard 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