Staff Data Scientist

Campus
New York, NY

About Campus

Campus is on a mission to accelerate the talent of tomorrow and reimagine what college can (and should) be. The problem is clear: college costs have skyrocketed, but outcomes haven’t. Traditional college hasn’t kept up with the aspirations of today’s students—and they can’t afford to wait.

At Campus, we’ve built a two-year, accredited college where students learn from top professors at universities like Princeton, Stanford, and Howard, in live, online classes. Our students graduate with in-demand business and AI skills—ready to launch their careers or transfer to top four-year universities. Our unique approach is grounded in a pioneering technology platform and a heavily-researched student success model that offers students dedicated advisors and on-demand tutoring and coaching. We were also named one of Fast Company's Most Innovative Companies of 2024 .

We’re backed by an exceptional investor team that believes deeply in our vision for the future of education, including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, Sam Altman, Jason Citron, Shaquille O’Neal, and others.

The world has changed. Higher ed needs to catch up, and we’re leading the way - come join us!

About the role

We are seeking a Staff Data Scientist to help make Campus a world-class data-driven organization. This role requires deep analytical expertise, strong technical acumen, and a strategic mindset to turn data into actionable insights that directly improve student acquisition, engagement, and retention. You’ll partner closely with teams across the company to design experiments, build predictive models, and deliver insights that influence key business outcomes.

You’re excited about this opportunity because you will…

  • Develop a deep understanding of Campus students by creating predictive models for acquisition, admission, enrollment, and retention

  • Build a unified student funnel dashboard integrating marketing, admissions, and retention metrics

  • Identify and execute top opportunities to improve student retention using causal inference and experimentation

  • Design and analyze A/B tests and causal inference frameworks to evaluate new product features and funnel improvements

  • Partner cross-functionally with Marketing, Student Success, and Engineering teams to optimize acquisition and engagement experiments for measurable lift

We’re excited about you because…

  • You are a strategic thinker who can connect data to key business objectives and communicate insights clearly

  • You have an ownership mindset and thrive in environments where you define scope, drive projects, and deliver results independently

  • You are a collaborative problem solver who enjoys working with both technical and non-technical partners

  • You have a passion for education, experimentation, and growth analytics—and want to use your skills to make a meaningful impact

  • You bring rigor, curiosity, and creativity to every analysis you conduct

What you’ll get:

  • A compensation package that includes a base salary + equity grant

    • Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary will be localized.

  • Medical, dental, and vision insurance

  • 401(k) match

  • Fertility benefits via Carrot

  • Flexible Time Away + paid holidays

  • In-office lunches for our NY Office (did we mention, we’re dog friendly? 🐶)

  • Hybrid work schedule (Mon & Fri remote; Tues-Thurs in-office)

  • Social events - happy hours, birthday celebrations, holiday parties, & more!

  • Opportunity to make an impact – you’ll be an integral player in bringing our vision to life

Where we’re located: Tribeca, NY

Unfortunately, we are unable to offer H1B visa sponsorship for this position. Candidates must be authorized to work in the U.S. without requiring visa sponsorship; however, we are able to sponsor a TN visa for eligible Canadian and Mexican citizens.

Posted 2025-11-25

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