Lead Data Scientist
New York City, New York, United States of America
Full Time
2 weeks ago
H1B Sponsor Likely
Key skills
AILLMAnalyticsBusiness IntelligencedbtLeadershipCustomer SuccessSales
About this role
Brisk Teaching is the leading AI platform for K-12 educators, empowering teachers to deliver personalized, curriculum-aligned instruction at scale. The Lead Data Scientist will define data strategy, build internal data products, and drive growth through analytics, while integrating AI into the data lifecycle.
Responsibilities:
- Set the data strategy: Define what we measure, how we measure it, and what 'good' looks like. Establish the metrics architecture that connects product usage, retention, monetization, and growth into a coherent picture, and make sure every team at Brisk is oriented around it
- Turn the data team into a product team: Build internal data products that stakeholders across the company actually use daily. Replace ad-hoc requests with self-serve AI interfaces, automated reports, and tools that make data accessible to non-technical teammates
- Make the warehouse AI-readable: Build the semantic layer, documentation, and context infrastructure that lets both humans and AI systems query Brisk's data accurately. A well-documented warehouse is the foundation for every AI-powered workflow that follows
- Build AI into the data lifecycle: Identify where AI agents, automated pipelines, and LLM-powered tooling can replace manual work: dbt model generation, data quality monitoring, experiment analysis, insight delivery. Ship these systems into production
- Own product analytics and experimentation: Partner with Product, Engineering, and Design to design experiments, interpret results, and deliver the insights that shape what we build. Bring rigor to how we evaluate features and make ship/no-ship decisions
- Drive growth and business intelligence: Maintain and evolve dashboards and reporting for Sales, Marketing, Customer Success, and leadership. Ensure the metrics that matter are visible, trusted, and actionable
- Scale through systems, not headcount: Build infrastructure and AI-powered tooling that multiplies the team's output so a small data org can support a fast-growing company without scaling linearly