Staff Data Scientist
(Product Analytics, Data Architecture & Business Intelligence)
Compensation: $250,000 - $300,000 + Equity
Location: New York or Toronto | Hybrid — 3 days per week in office
The Company
A high-growth, venture-backed AI company is transforming how major enterprises support employee development through personalized conversational technology.
With a growing portfolio of global enterprise customers and strong commercial momentum, the business is investing in the data infrastructure and analytics capabilities needed to support its next stage of growth.
The Opportunity
This is an opportunity for a commercially minded Staff Data Scientist to shape how an AI-native business measures performance, understands product adoption and demonstrates customer impact.
You'll play a central role in building trusted analytics and data infrastructure, working directly with technical and business stakeholders to turn complex information into decisions that drive growth.
The Role
As Staff Data Scientist, you'll take hands-on ownership of critical business and product analytics capabilities.
You'll work across data modeling, instrumentation, reporting, product analytics and customer insight, helping establish the foundations for a scalable, high-performing data function.
This is a highly visible individual contributor role requiring the ability to operate independently, influence stakeholders and deliver meaningful commercial impact.
What You’ll Do
Define and develop core business and product metrics covering adoption, engagement, retention, deployment performance and customer expansion.
Build and improve data models, pipelines, instrumentation and reporting infrastructure that support reliable analytics.
Analyze customer behaviour and product usage to identify growth opportunities, adoption challenges and potential account risks.
Develop customer-facing impact reporting that helps enterprise stakeholders understand product value and outcomes.
Partner with Product and Engineering on tracking requirements, experimentation and product analytics.
Produce executive-level dashboards, business performance analysis and actionable recommendations for leadership.
Apply AI-powered tools and workflows to accelerate analysis, improve data quality and strengthen analytical capabilities.
What You’ll Bring
7+ years of experience in data science, analytics or a closely related discipline.
Significant experience owning analytics initiatives within a B2B SaaS or product-led technology business.
Expert SQL and strong Python, with practical experience across modern data warehouse and BI environments.
A track record of defining business-critical metrics and turning data into decisions for senior leadership.
Hands-on experience with data modeling, data quality, instrumentation and analytical infrastructure.
Strong statistical judgment, including cohort analysis, experimentation and interpreting customer behaviour.
The independence, commercial awareness and communication skills to work across technical and non-technical teams.
What This Role Requires
Proven experience delivering business and product analytics that directly influenced organizational decisions.
Advanced SQL and Python proficiency, with strong practical knowledge of data architecture and reporting infrastructure.
Ability to independently translate ambiguous business questions into measurable metrics, analysis and actionable insight.
Experience working in B2B SaaS or similarly complex product environments, with accountability for business-critical analytics.
Tech Stack
SQL and Python.
Snowflake data warehousing.
Metabase for business intelligence and reporting.
Data modeling, ETL/ELT pipelines, instrumentation and data-quality monitoring.
Experience with tools such as dbt, BigQuery, Databricks, Looker, Tableau, Hex or Mode is relevant.
Exposure to product analytics platforms such as Amplitude or Mixpanel is advantageous.
AI-assisted analytics, coding and data-quality workflows.
Why Join
Build something foundational: Help establish the data capabilities, metrics and infrastructure that will support a rapidly growing enterprise AI business.
Direct influence on business performance: Your work will inform product decisions, customer retention, commercial strategy and how enterprise customers measure value.
High ownership at an important growth stage: Join a business with established enterprise demand and the opportunity to take meaningful responsibility for how its data function evolves.
About People in AI
People in AI is a specialist recruitment partner connecting exceptional AI, machine learning, data, and engineering talent with some of the most ambitious technology companies in the world. We work closely with founders, technical leaders, and hiring teams to represent opportunities accurately and help candidates assess genuine fit.
