Product Data Scientist - Crypto

About the Role

We're seeking an experienced, versatile Product Data Scientist who thrives in a fast-paced environment. In this role,  you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion.

What You'll Do

• 
  

  Design, run, and analyze A/B tests to optimize our consumer product experience

  
  


• 
  

  Proactively identify problems and opportunities through data analysis

  
  


• 
  

  Build and maintain dashboards to track key metrics and visualize insights

  
  


• 
  

  Develop models to understand user behavior and predict outcomes

  
  


• 
  

  Collaborate with product and engineering teams to implement data-driven solutions

  
  


• 
  

  Drive projects independently from problem identification through solution implementation

  
  


• 
  

  Communicate complex findings clearly to technical and non-technical stakeholders

  
  


• 
  

  Help establish data best practices and methodologies

  
  
  
  

Requirements

• 
  

  2-3 years of data science experience at a startup, scale-up, or FAANG/equivalent company

  
  


• 
  

  Proficiency with Python/R and SQL/BigQuery

  
  


• 
  

  Strong experience designing, running, and analyzing A/B tests on consumer products

  
  


• 
  

  Demonstrated ability to work autonomously, managing entire projects from ideation to implementation

  
  


• 
  

  Experience translating data insights into actionable recommendations

  
  


• 
  

  Excellent communication skills, with the ability to present complex findings clearly

  
  

Preferred Qualifications

• 
  

  Experience with cryptocurrency and blockchain data

  
  


• 
  

  Strong data visualization skills (especially with Grafana)

  
  


• 
  

  Experience working with event tracking data (especially FullStory)

  
  


• 
  

  Advanced knowledge of statistical methods and causal inference

  
  


• 
  

  Experience building and maintaining data pipelines (especially with Dataform)

  
  


• 
  

  Familiarity with Machine Learning methods and applications

  
  


• 
  

  Experience in consumer tech products or fintech

  
  

What We're Looking For

We value generalists over specialists. The ideal candidate has breadth across the data science field rather than deep expertise in just one area. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. You'll thrive in our environment if you enjoy autonomy and are excited about having end-to-end ownership of your work.

Benefits

• 
  

  Competitive salary and equity package

  
  


• 
  

  Flexible work arrangements

  
  


• 
  

  Comprehensive health benefits

  
  


• 
  

  Professional development budget

  
  


• 
  

  Collaborative, fast-paced environment

  
  


• 
  

  Opportunity to shape the future of [industry/product]

  
  


• 
  

  We're building a diverse team and encourage applications from candidates of all backgrounds

  
  

Base Salary + Equity/Tokens