About the role
As a Data Scientist on the Strategic Finance team at Rippling, you will combine advanced analytics, forecasting, and hands-on development of AI tools to inform company-wide business decisions. You will partner with stakeholders across Go-to-Market, Customer Experience, and R&D Finance to uncover insights and build forecasting models that shape financial targets and planning across Rippling’s product suites. You will also serve as an AI expert within Finance, building workflows and helping the team adopt new tools that fundamentally improve how it analyzes data and makes decisions. This is an excellent opportunity for someone with strong analytical skills, business judgment, and a desire to shape how Finance works.
What you will do
- Lead analytics for company-wide planning cycles, partnering with Finance leaders to shape forecasts, financial targets, and resource allocation decisions
- Drive the adoption of AI across Finance, combining hands-on development with coaching to transform how the team conducts analysis, generates insights, and makes decisions
- Own automated forecasting models for key business metrics, including customer retention and expansion
- Define and deeply understand critical business metrics such as net dollar retention and customer acquisition cost
- Build high-quality data infrastructure to support accurate analyses of business performance across sales, marketing, R&D and customer experience
- Serve as a trusted strategic partner to Rippling’s Finance executives, offering data-driven insights to support our continued strong ARR growth
What you will need
- 4+ years of experience in data science and analytics – proven ability to use data science methods to drive business impact, particularly in B2B SaaS or fintech industries
- Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields
- Proficiency in data analysis tools – hands-on experience with Python, SQL, dbt, Databricks, and other data analysis tools. You should be comfortable performing statistical analysis, running queries, and building models
- Strong analytical and problem-solving skills –you will be expected to turn complex data into actionable insights that influence strategic business decisions
- Curiosity and initiative to experiment with new AI tools and apply them to improve workflows
- Strong communication skills – you should excel in communicating technical findings clearly to both technical and non-technical stakeholders
- Strong sense of ownership, with the ability to drive projects end to end
- Ability to operate autonomously in an ambiguous, fast‑paced environment
Preferred qualifications include prior experience in
- End-to-end model lifecycle, including development, backtesting, deployment, and monitoring
- Time series forecasting with limited historical data
- Financial modeling, gained through Strategic Finance, Investment Banking, or close partnership with Finance teams
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
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 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.