Lead Data Scientist

Role overview

This role leads data science on a revenue experimentation team for a large consumer subscription business serving more than 100 million monthly active users. The focus is on identifying monetization opportunities and shipping production ML systems that support ads, subscriptions, pricing, and paywall flows. The team operates as an AI-native engineering group that treats AI tooling as a first-class collaborator.

Responsibilities

- Investigate revenue opportunities using data, then size, scope, and measure product changes - Design, build, deploy, and operate production ML systems spanning batch inference, online services, and online learning models - Partner with product, mobile, cloud, data engineering, and MLOps to ship ML-powered features - Set up monitoring and lineage tracking so ML system performance and business impact are measured and reproducible - Mentor other data scientists and define best practices for advanced analytics and ML development - Apply AI coding tools across data discovery, modeling, and experiment evaluation, sharing learnings with the team

Requirements

- Advanced degree or equivalent industry experience in a field relying on sophisticated statistical analysis - 6+ years scoping, building, and shipping ML-powered systems to production - Strong Python, scikit-learn, PySpark, and causal inference programming, with software engineering best practices - Hands-on experience with consumer product experimentation, including design, monitoring, and analysis - Experience working with found data, guiding instrumentation, and implementing data transformations - Background in B2C consumer technology, ideally on subscription, transaction, or advertising revenue

Benefits and work setup

- Remote-first within the US or Canada - US salary range: $175,000-$218,000; Canada range: $171,500-$202,500 CAD - Equity in the form of Restricted Stock Units - Comprehensive medical, dental, vision, life, and disability coverage, with 401(k) or RRSP matching - Paid parental leave, mental wellness program, and flexible PTO plus companywide holidays and seasonal shutdowns - Learning and development programs, equipment support, and free membership in the company product