Staff Data Scientist

People in AI; United States; Remote; USD 250,000 - 300,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

SQL

Python

Data analytics

Product analytics

Cohort analysis

Experimentation

Stakeholder communication

Business metrics

Tools

Snowflake

Metabase

BI tools

Job description

High-Growth Enterprise AI Company | Remote US & Canada / Hybrid NYC or Toronto

Compensation: $250,000–$300,000 Base + Equity

About the Company

We're partnering with a fast-growing, venture-backed AI company transforming how large organizations support and develop their employees.

Its enterprise AI platform delivers personalized coaching and professional development at scale, combining AI with organizational data to improve employee engagement and performance.

With 100+ enterprise deployments, nearly $45M in ARR, and backing from leading investors, the company is scaling rapidly and investing in its data capabilities.

The Opportunity

The company is hiring a Staff Data Scientist to strengthen its analytics, data infrastructure, and business intelligence capabilities.

You'll be a senior, hands-on individual contributor defining critical metrics, improving data architecture, and translating complex data into actionable insights.

This is a high-ownership role with direct exposure to Engineering, Product, Customer Success, and senior leadership.

This is an analytics-focused position, not an ML research role.

What You'll Do

• 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.

What We're Looking For

• 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.

Nice to Have

• Experience at a high-growth startup or scaling SaaS company.
• Familiarity with Snowflake and Metabase.
• Experience building analytics capabilities from the ground up.
• Exposure to enterprise AI products or customer impact analytics.

Snowflake, Metabase, SQL, Python, and modern data infrastructure.

You’ll help shape the company's broader data architecture, analytics tooling, and reporting capabilities.

Why Join?

• Meaningful ownership: Shape the analytical foundations of a scaling AI business.
• Strong traction: 100+ enterprise deployments and rapidly growing revenue.
• Executive visibility: Influence product strategy and commercial decisions.
• Technical autonomy: Own complex analytics and data infrastructure challenges.
• Enterprise AI exposure: Work at the intersection of AI, analytics, and workforce transformation.
• Remote flexibility: Work remotely across the US or Canada.