Staff Data Scientist

Campus•New York, NY

1d•Hybrid

About The Position

Campus is seeking a Staff Data Scientist to contribute to making Campus a world-class data-driven organization. This role demands deep analytical expertise, strong technical skills, and a strategic approach to transform data into actionable insights that enhance student acquisition, engagement, and retention. The successful candidate will collaborate with various teams to design experiments, develop predictive models, and deliver insights that significantly impact key business outcomes.

Requirements

Strategic thinker who can connect data to key business objectives and communicate insights clearly
Ownership mindset and thrive in environments where you define scope, drive projects, and deliver results independently
Collaborative problem solver who enjoys working with both technical and non-technical partners
Passion for education, experimentation, and growth analytics—and want to use your skills to make a meaningful impact
Rigor, curiosity, and creativity to every analysis you conduct
Effective in influencing organization change via data insights and enjoy fostering data literacy
Must be authorized to work in the U.S. without requiring visa sponsorship
Eligible Canadian and Mexican citizens may be sponsored for a TN visa

Nice To Haves

Prior exposure to operations research and workforce analytics
Experience working on software products geared towards sales, customer success, support, coaching teams
Conducted or measured studies and experiments focused around human interventions
Comfortable with ML deployment and observability

Responsibilities

Develop a deep understanding of Campus’ student-facing teams’ impact on enrollment, retention, and academic outcomes - from admissions and financial aid to coaching and tutoring teams
Build a comprehensive measurement framework for student-facing teams’ effectiveness and efficiency
Identify and execute top opportunities to improve student outcomes using causal inference and experimentation
Collaborate with Product and Operations on integrating behavioral signals and predictive modeling outcomes’ into team workflows
Partner cross-functionally with Product, Operations, and Engineering to optimize student impact staff journey at Campus - from hiring and training to software tooling and automation