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Snowflake
Menlo Park, California, United States; Dublin, California, United States
Source: Snowflake careers · View original posting
From Snowflake's posting. “We” and “our” refer to the employer.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Staff Data Scientist, Finance
The Finance Data Science team builds the forecasting and decision systems that power Snowflake's financial planning, operating cadence, and long-term strategy. Our work informs executive decision-making, product and go-to-market priorities, resource allocation, pricing, and cross-functional decisions across Finance, Product, Sales, and Data Science.
We are expanding a driver-based revenue modeling platform that translates product and workload activity into trusted financial outcomes. The program began with one product category and will scale a common modeling and publishing framework across Snowflake's product categories. The models are highly visible, refreshed frequently, and designed for self-service scenario planning and business reviews.
We are hiring a Staff Data Scientist to lead the next phase of Snowflake's driver-based revenue modeling program. This role is not just about building models. It is about creating reliable, explainable, production-grade decision systems that connect upstream business and product levers to revenue outcomes.
You will own high-impact, open-ended problems spanning driver identification, revenue decomposition, leading indicators, cohort and use-case modeling, scenario analysis, and multi-year forecasting. You will build on the initial category model and extend and adapt the approach to additional product categories, partnering closely with Product Finance, Product Data Science, Product leaders, go-to-market teams, Analytics Engineering, and Finance Data and Analytics.
This role is well suited for someone who combines modeling depth, causal and business reasoning, production rigor, and a high sense of ownership.
In this role, success means Snowflake leaders can trace revenue forecasts to a small set of measurable product and business drivers, understand why results changed, and run credible scenarios without bespoke analyst support. You balance modeling sophistication with business practicality, scale a common framework across categories without forcing false uniformity, and operate systems that are accurate, explainable, monitored, versioned, and trusted.
Over time, the models become a durable operating mechanism for product prioritization, go-to-market accountability, and financial planning.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information:
careers.snowflake.com
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