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 ship AI products.
THE ROLE
We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy.
RESPONSIBILITIES
Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience.
Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs.
Ingest and transform raw data using tools like dbt, Airbyte, and Databricks.
Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions
Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities.
Present findings and recommendations to technical and nontechnical audiences, including company leaders.
REQUIREMENTS
5+ years of experience in analytics, BI, or data engineering roles
Strong SQL skills with the ability to write complex queries for data transformation and analysis
Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage.
Excellent communication skills and a collaborative approach to working with cross-functional teams
Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences.
Preferred Qualifications
Experience with AI infrastructure, developer platforms, or inference.
Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning.
Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost.
Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act.
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).
Skills Required
- 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, including 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.
- 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.
Baseten Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.
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Fair & Transparent Compensation — Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
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Healthcare Strength — Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
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Leave & Time Off Breadth — Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.
Baseten Insights
What We Do
AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.
Why Work With Us
We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.
