Position Details
About this role
Staff Decision Scientist role partnering with senior leaders to solve ambiguous problems through causal, hypothesis-driven analytics. You will develop metrics and measurement frameworks, create self-serve data products, and deliver executive-ready recommendations to drive business outcomes.
Key Responsibilities
- Lead hypothesis-driven analyses and causal driver discovery
- Develop and automate insights using Snowflake Cortex and AI-assisted workflows
- Own metrics and measurement frameworks and deliver self-serve data products
- Partner with Data Engineering, Analytics Engineering, and BI to ensure scalable data models
- Collaborate with data governance and cross-functional leaders to ensure metric integrity and compliance
Technical Overview
Own decision science analysis across business functions using Snowflake Cortex and AI-assisted workflows. Build scalable metrics and self-serve data products in partnership with data/analytics engineering, while applying advanced statistical methods and maintaining reproducible, automatable insight workflows.
Ideal Candidate
The ideal candidate is a senior decision scientist who leads hypothesis-driven, causal analyses that directly support executive strategy. They have strong experience developing metrics and measurement frameworks and delivering insights through self-serve data products, with hands-on use of Snowflake Cortex and AI-assisted analytical workflows.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Proficiency with Snowflake Cortex, Ability to perform hypothesis-driven causal analysis, Ability to communicate insights in an executive-ready manner
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