Data Scientist (Analytics)

Baseten

San Francisco, CA

HybridCareer-pivot friendly

Who this role is best for

Analytics professionals with expertise in revenue operations and cloud data warehouses will find this role at Baseten aligns with their background in building scalable data foundations for high-growth B2B companies.

Best fit for

Candidates with experience in usage-based billing and B2B revenue analytics in high-growth environments
— “high-growth B2B consumption-based business”
Individuals who have built canonical data marts and production-grade dbt models
— “Create canonical marts for customers, products, contract terms, subscriptions, commitments, credits, billable usage, and invoices.”
Professionals with a track record of working with Salesforce, CPQ, and metering platforms like Orb
— “Experience working with Salesforce and CPQ data, including products, price books, quotes, orders, amendments, and renewals.”

Things to consider

This role requires a deep understanding of revenue recognition and financial reporting standards.
— “Experience with revenue recognition, monthly close, and audit support.”

How to stand out

Highlight experience reconciling usage data to revenue and contract terms in your resume and interviews.
— “Reconcile metered product usage to billed revenue, invoice line items and contract terms.”
Demonstrate your ability to govern and define revenue metrics like ARR and NDR.
— “Partner with Finance and Revenue Operations to define and govern metrics for bookings, contracted commitments, consumption, billed revenue, ARR, NDR and expansion.”
Showcase your proficiency in dbt and cloud data warehouses with production-grade models.
— “Advanced SQL and dbt skills, with a record of building production-grade models, tests, documentation, and lineage in a cloud data warehouse.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

accurate revenue reporting
reliable revenue data models
successful revenue forecasting

Typical background

5+ years in analytics engineering or data analysisexperience in high-growth B2B companies

Skills & requirements

Required

Advanced SqldbtUsage-based BillingSalesforceCpqOrbStripeRevenue AnalyticsData ModelingDashboard Building

Preferred

Revenue RecognitionMonthly CloseAudit SupportAi InfrastructureDeveloper PlatformsInference

Stack & domain

SQLdbtSalesforceCPQOrbStripeUsage-based BillingMetering PlatformsRevenue RecognitionMonthly CloseAudit SupportLeadershipCommunicationProblem-solvingTeamworkFinanceRevenue OperationsData Analysis

About the role

Original posting from Baseten via Ashby

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 https://www.baseten.co/blog/announcing-our-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).

Source: Baseten careers (Ashby)