About RipplingRippling 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 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:- 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.
The pay range for this role is:
108,000 - 189,000 USD per year (US Tier 1)
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