Data Scientist (AI)

Location: On-site in Burnaby, Canada

Salary: $85,000–$115,000 per year, plus potential bonus and equity.

Company

hirify.global develops an AI-powered video platform that helps creators and businesses improve their social media presence.

What you will do

• Validate reporting tables and dashboards against source data and investigate data-quality issues.
• Define and govern metrics for feature adoption, weekly active usage, credit consumption, segmentation, retention, and lifetime value.
• Build monitoring for duplicate events, volume spikes, null values, stale data, and reporting discrepancies.
• Conduct analyses of product launches, funnels, retention, monetization, customer behavior, and subscription performance.
• Support measurement design and evaluation for AI-powered product experiences, including online and offline success metrics.
• Translate ambiguous business questions into analytical plans and actionable recommendations for Product, Finance, Engineering, CX, and AI stakeholders.

Requirements

• Typically 3+ years of experience in data science, product analytics, decision science, or a related field.
• Advanced SQL skills, including complex joins, window functions, event-level analysis, cohort analysis, and query debugging.
• Strong Python skills for analysis, automation, validation, and statistical work.
• Experience with product usage, feature adoption, funnels, retention, segmentation, monetization, and metric definition.
• Experience with event data from Mixpanel or a similar product analytics platform and dashboards in Superset, Looker, Tableau, or Power BI.
• Strong data-validation, ownership, analytical reasoning, and communication skills in ambiguous environments.

Nice to have

• Experience with BigQuery, subscription payments, Stripe, Apple, Google Play, PIX, or other payment-platform data.
• Experience with automated data-quality monitoring, anomaly detection, AI or ML evaluation, online experiments, or data curation.
• Familiarity with semantic layers, metric stores, data governance, PII protection, Airflow, Prefect, or dbt.
• Experience using AI tools to accelerate analytical work while independently validating results.

Culture & Benefits

• Work with a modern data stack including BigQuery, Mixpanel, Superset, Python, Prefect, and Statsig.
• Collaborate across Product, Engineering, Finance, CX, and AI teams.
• Own analyses and metrics that influence product, roadmap, launch, experimentation, and business decisions.
• Potential discretionary bonuses or incentives and participation in an equity program.
• Opportunity to grow toward product data science, experimentation, metric governance, or analytical leadership.