Data Scientist IIRevenue OperationsNew York, NY

Data Scientist

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. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses.

About the Role:

We're looking for a Data Scientist to partner closely with teams across Customer Experience, Operations, and R&D. Whether you're digging into churn signals, uncovering cross-sell opportunities, or helping shape how we build our products, you'll be working on problems that matter across the business.

As Rippling, you'll have the opportunity to dive into datasets to influence decision-making & impact strategy. If you are a self-starter who enjoys finding patterns and speaking through data, we're looking for someone like you!

What You'll Do:

• Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business.
• Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools.
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
• Provide insights to help business leaders understand marketplace dynamics, user behaviors, and long-term trends.
• Identify and measure levers to help move essential metrics and make recommendations.
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress.
• Collaborate with data engineering to implement, document, validate, and monitor our evolving data infrastructure.
• Work autonomously as an individual contributor as well as showcase horizontal leadership, driving initiatives to completion and proactively identifying opportunities that will move the needle in the long run.

Qualifications:

• Master's degree in Analytics, Data Science, Economics, Statistics or a related field and at least 2~3 years of work experience, or equivalent.
• Strong interest in actively working with Customer Success and Support teams, as well as cross-functional collaboration with Product & Marketing.
• Strong proficiency in SQL, R/Python, Tableau, Mode, or other Business Intelligence tools.
• Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision-makers.
• Ability to actively manage and influence senior stakeholders through strong business communication skills, both verbal and written.
• Ruthless prioritization and time management.
• Organized, attentive to detail, and intellectually curious.
• Bonus points for experience with B2B SaaS companies, Salesforce CRM & Service Cloud, as well as executive-level exposure.