Staff Data Scientist - Enterprise Analytics Lead (Remote)

People in AI; United States; À distance; USD 250 000 - 300 000; Plein temps

Résumé du poste

People in AI is hiring a Staff Data Scientist to elevate analytics, data infrastructure, and business intelligence for its enterprise AI platform. You will own metrics, architecture, and insight delivery, translating complex data into strategic recommendations.

This senior IC role includes exposure to Engineering, Product, Customer Success, and executives, with a focus on analytics rather than ML research. Remote work across the US and Canada with hybrid options in select cities.

Qualifications

• 7+ years in data science, product analytics, or business analytics.
• Expert SQL and strong Python skills.
• Experience with data warehousing, modeling, pipelines, and BI tools.
• Background defining product and commercial metrics within B2B SaaS.
• Strong statistical judgment, experimentation, and cohort analysis skills.
• Ability to translate complex data into business recommendations.
• Independent, hands-on approach with strong stakeholder communication.

Responsabilités

• Define core metrics across product adoption, engagement, retention, and growth.
• Improve data architecture, Snowflake models, pipelines, and reporting.
• Analyze customer behavior to identify growth opportunities and risks.
• Build dashboards and reporting that demonstrate customer impact.
• Strengthen data quality, instrumentation, and experimentation capabilities.
• Introduce AI-powered tools to improve analytics workflows.

Connaissances

SQL

Python

Data analytics

Product analytics

Cohort analysis

Experimentation

Stakeholder communication

Business metrics

Outils

Snowflake

Metabase

BI tools

Description du poste

People in AI is hiring a Staff Data Scientist to elevate analytics, data infrastructure, and business intelligence for its enterprise AI platform. You will own metrics, architecture, and insight delivery, translating complex data into strategic recommendations.

This senior IC role includes exposure to Engineering, Product, Customer Success, and executives, with a focus on analytics rather than ML research. Remote work across the US and Canada with hybrid options in select cities.