Staff Data Scientist
Employment type
Full-time
Work setting
On-site
Location
Austin, TX
Schedule
Day shift
Posted
You'll be redirected to the employer's application page.
Job overview
The Staff Data Scientist role is onsite in Austin, TX, San Francisco, CA, or Paris, France, according to the posting. Compensation is described as a competitive salary calibrated to experience, plus meaningful equity; numeric pay is not specified. Way builds data, AI, and infrastructure for the experience economy. The role builds Way’s data and intelligence foundation, turning platform data into reliable products, metrics, models, and decision systems that support product capabilities such as pricing, merchandising, personalization, forecasting, recommendations, and automation.
What you'll do
- Build and own data and analytics foundations
- establish core metrics, data models, and definitions
- identify high-impact data science and machine-learning opportunities
- develop and ship models, experiments, and decision systems
- partner with product and engineering to bring data capabilities into production
- communicate evidence, uncertainty, and data needs.
What we're looking for
- Skills & competencies
- staff data scientistdata sciencemachine learninganalytics engineeringsqlpythonforecastingpersonalizationaustin txsan francisco caparis franceway
- Work arrangement
- Weekend coverage required
Benefits & perks
- Full health, dental, and vision coverage
- meaningful equity
- annual hotel and travel stipend.
Why this role
The posting describes a hands-on staff-level individual contributor role with broad ownership across data science and analytics engineering.
About the employer
Way is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.
Additional details
- Industry sector
- 51
- Industry
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
- Occupation code
- 15-2051.00
You'll be redirected to the employer's application page.
Listing ID: f3d223f1-4bc7-432b-b20f-9f507c096393