Data Scientist, Strategic Finance

Rippling’s Strategic Finance team is seeking a Data Scientist to help drive company-wide planning and decision-making with advanced analytics, forecasting, and practical AI tool development. Based in New York, NY (onsite), this role partners closely with Finance leaders and cross-functional teams across go-to-market, customer experience, and R&D finance.

The focus is both strategic and hands-on: you will build automated forecasting models for key business metrics, strengthen the data infrastructure behind performance analysis, and provide data-driven insights that support continued ARR growth. You will also help lead AI adoption in Finance through direct development and coaching to improve how the team generates insights and makes decisions.

What you’ll do

• Lead analytics for company-wide planning cycles, partnering with Finance leaders to shape forecasts, financial targets, and resource allocation decisions
• Drive adoption of AI across Finance through hands-on development and coaching that improves analysis, insights generation, and decision-making
• Own automated forecasting models for key metrics, including customer retention and expansion
• Define and build deep understanding of critical business metrics such as net dollar retention and customer acquisition cost
• Build high-quality data infrastructure to support accurate analysis of business performance across sales, marketing, R&D, and customer experience
• Act as a trusted strategic partner to Finance executives with data-driven insights supporting ongoing ARR growth

What you bring

• 4+ years of experience in data science and analytics, with proven ability to use data science methods to drive business impact, particularly in B2B SaaS or fintech
• A Master’s degree or Bachelor’s degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or another related field
• Hands-on proficiency with Python, SQL, dbt, Databricks, and other data analysis tools, including performing statistical analysis, running queries, and building models
• Strong analytical and problem-solving skills to turn complex data into actionable insights that influence strategic decisions
• Curiosity and initiative to experiment with new AI tools and apply them to improve workflows
• Strong communication skills to explain technical findings clearly to both technical and non-technical stakeholders
• A strong sense of ownership with the ability to drive projects end to end
• Ability to operate autonomously in an ambiguous, fast-paced environment

Technologies

• Python
• SQL
• dbt
• Databricks

Preferred qualifications

• End-to-end model lifecycle experience, including development, backtesting, deployment, and monitoring
• Time series forecasting experience with limited historical data
• Financial modeling experience gained through Strategic Finance, Investment Banking, or close partnership with Finance teams

Salary and accommodation details

• Salary range: USD 120,000 - 190,000 per year (US Tier 1)
• Rippling is an equal opportunity employer and provides reasonable accommodations for candidates with disabilities during the hiring process. Requests can be sent to [email protected].
• For office-based roles, working in the office at least three days per week is considered essential under current policy.
• This role offers a competitive salary plus benefits and equity.