Member of Data Staff (Data Scientist)

Job summary

Responsibilities

We're looking for a data scientist who can turn product questions into clear decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company.

• Develop product insights - analyze user behavior to inform product roadmap, accelerate adoption, and identify opportunities to improve the user experience.
• Design and analyze experiments - form hypotheses, define success metrics, run A/B tests, interpret results, and turn findings into product recommendations.
• Define the metrics that matter - build the metrics, guardrails, dashboards, and reporting workflows that help teams understand product and company health.
• Partner across functions - work closely with engineering, product, growth, design, and user research to answer ambiguous questions and drive decisions.
• Build reusable data assets - create tables, models, and documentation that make analysis faster, more consistent, and easier for humans and AI systems to use.

What they're looking for

• 6+ years of experience as a data scientist or closely related role.
• Strong product sense - you understand user behavior, product tradeoffs, and how to connect analysis to decisions.
• SQL expertise - you can navigate a complex data warehouse on your own, reason about grain and joins, and debug data issues when something looks wrong.
• Experimentation depth - you have significant experience designing, running, and analyzing A/B tests.
• AI-native working style - you use LLMs and AI tools to move faster without outsourcing analytical judgment.

Tech stack

• SQL
• Looker
• dbt
• Python
• Snowflake