Data Scientist

Who we are

A career at ClassPass is an opportunity for you to join a rapidly growing company committed to helping over 1 million users across 30 countries reach their wellness goals. We have an exciting opportunity for an insightful and persuasive Data Scientist to work on the Pricing & Inventory team, which manages the two-sided marketplace between our users and our wellness partners and leads on testing new pricing and supply acquisition/retention strategies. This role builds models that drive strategic initiatives, supports consumer programs, creates dashboards to evangelize insights, and works cross-functionally to empower stakeholders with data. 

The right candidate should thrive in an agile and growth-oriented environment.

Successful candidates will be strong individual contributors, comfortable with test design and execution, and possess an intense curiosity about marketplace dynamics. They should be able to distill complex ideas to stakeholders of all levels of technical fluency.

Your role

In this position you will work with:

• Engineer prediction models for user retention
• Optimize anomaly detection models for early reporting of escalations and fraud
• Productize clustering algorithms for user segmentation
• Run A/B experiments to continue optimizing the business 
• Automate reporting and insights for business partners to increase engagement
• Design dashboards for internal stakeholders
• Collaborate with Product/Engineering to productionize data flows that power user-facing products and services
• Collaborate with Marketing on targeting segmentation and lifecycle drip campaigns
• Collaborate with Analytics and BI to maintain data fidelity across various data warehouses 

About the right team member

• Based in the UK
• 3+ years experience as a data scientist building machine learning models for business application
• Degree in a quantitative field (Economics, Finance, Mathematics, Engineering)
• Strong knowledge of statistics and machine learning
• Experience with A/B testing 
• Fluency in SQL and Python 
• Experience in DTC and/or Subscription business models   
• Exposure to engineering best practices
• Superb communication skills, in speech and in writing
• Good organizational skills
• Deep sense of intellectual curiosity
• Understanding of AWS services such as S3, Athena, RDS, IAM, ECS, and EMR
• Entrepreneurial spirit; comfort with ambiguity and a fast-paced work environment
• Strong business acumen; can consider higher-level business context and thinking while still approaching analytical problems with technical precision and data-mindedness
• Knowledge and/or experience with BI tools (Tableau, Looker preferred)