Data Scientist II

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. 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 365all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investorsincluding Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrockand 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 work in partnership with our Customer Experience teams to maximize customer retention, drive cross-sell across our product suite, and proactively reduce escalations & improve CSAT.

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 :

The pay range for this role is :

108,000 - 189,000 USD per year(US Tier 1)

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