Campus is seeking a Staff Data Scientist to leverage data analytics and drive insights that enhance student acquisition and retention at their innovative college, which offers online classes from top university professors.
Responsibilities: Key responsibilities include developing predictive models for student metrics, designing and analyzing A/B tests, and collaborating with multiple teams to optimize data-driven strategies.
Skills: Candidates should possess strong analytical abilities, strategic thinking skills, and the ability to communicate insights effectively while fostering collaboration with diverse teams.
Qualifications: Ideal candidates should have experience in data science or a related field, a passion for education, and a motivation to drive meaningful impact through data analysis.
Location: This position is located in Tribeca, New York, with a hybrid work schedule allowing for remote work on Mondays and Fridays.
Compensation: Not provided by employer. Typical compensation ranges for this position are between $120,000 - $170,000.
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…
We’re excited about you because…
What you’ll get:
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.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Experienced ML engineering leader sought to design and deploy Gen‑AI infrastructure and production ML systems that power product teams and customer-facing features at scale.
Lead growth-focused ML initiatives to optimize incentives and deliver production-ready AI solutions for a high-impact, remote-friendly organization.
Visa is hiring a Machine Learning Engineer to build and operate scalable, production ML pipelines and deploy high‑quality AI/ML models that power payments and data products.
Experienced analytics leader sought to define data-asset valuation and consumer-permissioned data strategy, build ML-driven products, and support M&A work for Experian's analytics product organization.
CompStak is hiring an Applied Data Scientist – Econometrics to apply econometric and quantitative modeling to commercial real estate data and build scalable analytical workflows that inform product and business decisions.