• Ensuring partner teams are organized around the right operational metrics
• Advancing the company through insightful analysis and research
• Driving optimization through experimentation and machine learning
• Contributing to data infrastructure and team best practices to increase velocity

Example Workstreams:

• Evaluating which features and tactics are predictive of high schools' growth
• Evaluating feature launches and usage
• Developing a share/invite contact suggestions ranker
• Developing our dbt model and automated reporting functionality
• Optimizing ad spend

Candidate Qualifications:

• 3+ years of experience in data science, quantitative research, and/or analytics
• Deep experience and second-nature fluency in: SQL, Python, Applied statistics and causal inference, and machine learning methods
• Strong product and business sense and opinions
• The ability to communicate complex ideas crisply
• A team-first mentality and a leader and teacher to peers
• An impatient bias for action

This position has an estimated annual salary range of $160,000 to $200,000, not including bonus, commission and equity. This position also comes with full benefits and stock options. Actual compensation packages are based on a wide array of factors unique to reach candidates, including but not limited to demonstrated skill set, years and depth of relevant experience, and some role-dependent factors. We welcome direct conversations with each candidate about compensation in all of our initial calls.