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dataroles

Data Scientist

Baseten baseten.co Open · verified Oct 24, 2026
Hybrid San Francisco Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Baseten. San Francisco · full-time · $185,000–$260,000 base.

SalaryStated by Baseten
$185,000 – $260,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BasetenOur estimate for the market: $172,375–$223,788Median $207,750
The range includes the market median of $207,750 for mid-level data science roles in San Francisco.
Worked out from 32 postings that stated pay, median $207,750. Last updated Oct 24, 2026.
RoleData Science
SeniorityMid-level
LocationSan Francisco
WorkplaceHybrid
EmploymentFull-time
Base pay$185,000–$260,000
PostedSep 2, 2026 · 7w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and support reliable dashboards and models that teams across the company can use
  • Set up measures for capacity, availability, returns, product uptake, revenue and costs
  • Prepare raw data for analysis with dbt, Airbyte and Databricks
  • Work with engineering, finance, marketing and sales to turn team goals into data work
  • Study product, operational and commercial data, then share recommendations with teams and company leaders

What you bring

  • At least five years in analytics, business intelligence or data engineering
  • Strong SQL skills for complex data transformations and analytical queries
  • Experience building medallion data layers, from raw inputs to business-ready models, with tests, documentation and lineage
  • You can explain complex analysis and give clear recommendations to technical and business audiences

Who this fits

This mid-level role suits someone who can turn open-ended questions into analyses, forecasts and experiments, then advise product and business teams. It is based in San Francisco with a hybrid schedule. The stated annual pay range is $185,000 to $260,000.

From the employer

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.

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

  • (U.S. only) 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

  • (U.S. only) 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).

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$180k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.