Data Scientist
Join Baseten as a Revenue Analyst to enhance revenue reporting and data models in a high-growth AI company.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 12 hours ago
AI in the day-to-day
Baseten powers mission-critical inference for AI companies, enabling them to bring cutting-edge models into production.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Revenue Analyst at Baseten plays a crucial role in integrating various data sources to create a comprehensive view of customer revenue, focusing on contract terms, pricing, and product usage. This position requires advanced skills in SQL and dbt, along with experience in usage-based billing and familiarity with Salesforce and CPQ data. Ideal candidates will have over five years of experience in analytics or revenue roles, particularly in high-growth B2B environments. Baseten's rapid growth and emphasis on AI infrastructure provide a dynamic backdrop for this analytical position.
Joblaze insights
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Data Scientist role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CPQ, Hex, Orb, SQL, Salesforce, Sigma.
- What seniority level is this role?
- baseten targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist role at baseten.
From the original posting
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.
NICE TO HAVE
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
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
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