招聘
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.
About the role
Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.
This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling’s finances and essential for the correct functioning of product systems.
What you will do
- Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
- Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business.
- Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies.
- React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
- Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools.
- Develop and maintain comprehensive documentation of reconciliation processes and procedures.
- Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting.
- Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.
What you will need
- Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields.
- 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting.
- Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
- Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment).
- Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines.
- Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences.
- Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization.
- Bonus points if you have experience with general accounting principles, with the general ledger close process, and regulatory compliance.
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 accomodations@rippling.com
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.
总浏览量
0
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Data Scientist - Network Value
Plaid · San Francisco

Data Scientist
Figma · San Francisco, CA • New York, NY • United States

People Data Automation Analyst
OpenAI · San Francisco

Data Scientist III - Carrier Pricing
Uber Freight · San Francisco, CA 94158, United States

Data Scientist
Mixpanel · San Francisco, US (Hybrid)
关于Rippling

Rippling
Series CRippling is a privately owned international software company. Launched in 2017 in San Francisco, California, it operates a cloud-based software platform that allows businesses to manage their HR, finances, and IT matters.
501-1,000
员工数
San Francisco
总部位置
$11.25B
企业估值
评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
3.8
职业发展
3.3
管理层
2.5
65%
推荐给朋友
优点
Good compensation and benefits
Learning opportunities and mentorship
Great team culture and supportive colleagues
缺点
Management issues and lack of direction
High workload and pressure
Fast-paced and chaotic environment
薪资范围
2个数据点
Intern
Intern · Data Scientist
0份报告
$190,000
年薪总额
基本工资
-
股票
-
奖金
-
$161,500
$218,500
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Virtual Onsite
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
新闻动态
Non-profit Rippling Waters helps project aiming to bring 500 new housing options to Ottumwa near its half-way point - KTVO
KTVO
News
·
4d ago
Crazy Real: Stink Studios Reveals Rippling's HR Options 04/17/2026 - MediaPost
MediaPost
News
·
5d ago
Rippling “The juiciest thing to happen to HR and payroll” by Stink Studios - Campaign
Campaign
News
·
5d ago
Rippling UK debut turns workplace gossip into HR innovation - adobo Magazine
adobo Magazine
News
·
1w ago