About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. Backed by Kleiner Perkins, Lightspeed and Sequoia.
About the role
Here at Rippling, we believe in our early talent’s potential, experience, and aspirations. Our mission is to create opportunities for students through mentorship and training, ownership through impactful projects, and, of course, fun through our dynamic startup culture. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Use machine learning, statistical analysis, and AI-assisted workflows to analyze customer and product data, uncover insights, and support better decisions
- Design, build, and evaluate predictive models for customer revenue, behavior, retention, risk, and product adoption
- Prototype responsible uses of generative AI, LLMs, or other AI techniques that improve analysis quality, decision support, automation, or user experience
- Build and deploy data and ML pipelines that deliver reliable predictions, recommendations, or insights at scale
- Evaluate model and AI system performance with clear metrics, thoughtful validation, and attention to accuracy, bias, reliability, and business impact
- Actively participate in team meetings to scope, drive, and communicate progress on your projects
More about this role
Here at Rippling, we believe in our early talent’s potential, experience, and aspirations. Our mission is to create opportunities for students through mentorship and training, ownership through impactful projects, and, of course, fun through our dynamic startup culture.
As a Data Science Intern, you will join our Data Science Team in Summer 2027 (May-August) to work shoulder to shoulder with seasoned data scientists and engineers focused on increasing the impact of Rippling’s product, go-to-market, risk, finance, and operations teams.
Rippling interns gain experience doing the work of full-time data scientists, including building data products, machine learning models, AI-assisted analytics workflows, and production pipelines. Projects are meaningful to the business and scoped so interns can see the full impact of their work.
During your 12 weeks at Rippling, we will provide the tools, mentorship, and context you need to be successful. Your dedicated mentor and manager will support your learning and development, and you will join fellow interns for socials, leader talks, and opportunities to learn how a fast-growing company operates.
- Use machine learning, statistical analysis,...
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