Data Scientist (Analytics)

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're hiring a Revenue Analyst to scale the data foundation behind Baseten's revenue and usage reporting. This role sits at the intersection of Finance and Revenue Operations. You'll connect contract terms, pricing and CPQ data, product usage, metering, billing and invoices into an accurate view of customer revenue. Working alongside Finance Systems, you'll translate new pricing and contract structures into durable data models and dashboards that give Finance and Revenue Operations a trusted view of revenue. RESPONSIBILITIES Build and maintain production-grade dbt models and dashboards that connect Salesforce and CPQ, contracts, Orb and product usage data. Create canonical marts for customers, products, contract terms, subscriptions, commitments, credits, billable usage, and invoices. Reconcile metered product usage to billed revenue, invoice line items and contract terms. Investigate gaps before they affect customers or financial reporting. Partner with Finance and Revenue Operations to define and govern metrics for bookings, contracted commitments, consumption, billed revenue, ARR, NDR and expansion. Support monthly close, revenue forecasting, and operating reviews with variance and trend analysis. Document metric logic, source ownership, lineage, and exception handling. Add tests and version control so revenue data stays reliable as systems change. REQUIREMENTS 5+ years of experience in analytics engineering, data analysis, revenue analytics or a related role, ideally at a high-growth B2B company. Advanced SQL and dbt skills, with a record of building production-grade models, tests, documentation, and lineage in a cloud data warehouse. Hands-on experience with usage-based billing or metering platforms such as Orb and payment platforms such as Stripe. Experience modeling usage-based commercial terms, including minimum commitments, prepaid credits, tiered or volume pricing, overages, custom rate cards, and contract changes. Experience working with Salesforce and CPQ data, including products, price books, quotes, orders, amendments, and renewals. Experience building dashboards and self-serve analytics in BI tools such as Sigma or Hex. Preferred Qualifications Direct experience with Orb in a high-growth B2B consumption-based business. Familiarity with revenue recognition, monthly close, and audit support. Experience with AI infrastructure, developer platforms, or inference. BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).