Data Scientist

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, data models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver insights 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 dbt models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience.

Define and instrument core metrics around ROI, product adoption, customer lifecycle, capacity, availability, revenue and costs.

Ingest and transform raw data using tools like dbt, Airbyte, and BigQuery.

Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions

REQUIREMENTS

5+ years of experience in analytics engineering, data analysis, analytics, data science or a related role

Advanced SQL and dbt skills, with a record of building models, tests, semantic layers and lineage in a cloud data warehouse.

Prior experience supporting complex cross-functional projects across GTM, Finance and Engineering across various stages of the customer journey.

Experience building dashboards and self-serve analytics in BI tools such as Sigma or Hex.

Preferred Qualifications

Working knowledge of model inference frameworks, model-serving and training workflows, internal services, and the infrastructure metrics that shape performance and cost.

Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning.

Strong product judgment and communication, with the ability to translate technical analysis into clear recommendations for Product, Engineering, and business partners.

Strong statistical judgment and practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act.

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).