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Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist (Product Analytics, Data Architecture & Business Intelligence): Building trusted product and business analytics capabilities, data models, instrumentation, reporting infrastructure, and customer-impact insights for an enterprise AI business with an accent on product adoption, retention, customer expansion, and data quality. Focus on defining business-critical metrics, analyzing customer behavior, partnering on experimentation, and translating complex data into executive decisions.
Location: New York or Toronto; hybrid work with 3 days per week in the office
Compensation: $250,000–$300,000 plus equity
Company
hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies.
What you will do
Define core business and product metrics for adoption, engagement, retention, deployment performance, and customer expansion.
Build and improve data models, pipelines, instrumentation, reporting infrastructure, and data-quality workflows.
Analyze customer behavior and product usage to identify growth opportunities, adoption challenges, and account risks.
Develop customer-facing impact reporting and executive dashboards that demonstrate product value and inform leadership.
Partner with Product and Engineering on tracking requirements, experimentation, and product analytics.
Apply AI-powered tools and workflows to accelerate analysis and strengthen analytical capabilities.
Requirements
7+ years of experience in data science, analytics, or a closely related discipline.
Significant experience owning analytics initiatives in a B2B SaaS or product-led technology business.
Expert SQL and strong Python skills, with practical experience in modern data warehouse and BI environments.
Experience defining business-critical metrics and turning data into decisions for senior leadership.
Hands-on experience with data modeling, data quality, instrumentation, analytical infrastructure, and reporting.
Strong statistical judgment, including cohort analysis, experimentation, and interpretation of customer behavior.
Ability to translate ambiguous business questions into measurable metrics, analysis, and actionable insight independently.
Strong independence, commercial awareness, and communication skills across technical and non-technical teams.
Nice to have
Experience with dbt, BigQuery, Databricks, Looker, Tableau, Hex, or Mode.
Exposure to product analytics platforms such as Amplitude or Mixpanel.
AI-assisted analytics, coding, and data-quality workflow experience.
Culture & Benefits
Permanent role with hybrid work in New York or Toronto and three office days per week.
Opportunity to establish foundational data capabilities for a rapidly growing enterprise AI business.
High ownership and direct influence on product decisions, customer retention, commercial strategy, and enterprise value measurement.
Compensation of $250,000–$300,000 plus equity.
Hiring process
Apply through the hirify.global job posting.
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