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Data Scientist

OpusClip· Data Science
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BurnabyCA$60/hr - CA$80/hrContractPosted 3w ago

About the role

Product-oriented Data Scientist contract role focused on building trusted metrics, improving data quality, and translating complex product and customer data into actionable business decisions.

Responsibilities

  • Validate reporting tables and dashboards against their source data.
  • Establish clear definitions, assumptions, sources, and owners for important metrics.
  • Develop monitoring for duplicate events, unexpected volume spikes, null values, stale data, and reporting discrepancies.
  • Investigate tracking and data-quality issues across product events and downstream reporting tables.
  • Help teams distinguish genuine changes in user behavior from instrumentation or pipeline problems.
  • Conduct post-launch analyses for major product features and workflows.
  • Analyze adoption, activation, funnels, retention, segmentation, and user behavior.
  • Translate ambiguous business questions into structured analytical plans.
  • Turn findings into actionable recommendations for product and business stakeholders.
  • Support our data analyst with complex or high-priority analytical requests.
  • Analyze subscriber retention, monetization, and customer lifetime value.
  • Compare user and revenue behavior across plans, segments, and payment platforms.
  • Partner with Finance to validate reporting logic and investigate discrepancies.
  • Communicate assumptions and data limitations clearly when working with financial and payment-related data.
  • Support data curation, measurement design, and evaluation for AI-powered product experiences.
  • Define offline and online success metrics for model-driven features.
  • Analyze model quality, user behavior, and post-launch business impact.
  • Partner on experimentation, segmentation, and ongoing performance monitoring.

Qualifications

  • Typically 3+ years of experience in data science, product analytics, decision science, or a closely related field—or equivalent experience owning work at this level.
  • 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 analyzing product usage, feature adoption, funnels, retention, segmentation, or monetization.
  • Experience defining and governing metrics, rather than only using existing definitions.
  • Strong data-validation instincts, including checking joins, duplication, nulls, freshness, source consistency, and tracking changes.
  • Experience working with event data from Mixpanel, or a similar product analytics platform.
  • Experience building or maintaining dashboards using tools such as Superset, Looker, Tableau, or Power BI.
  • Working knowledge of experimentation, statistical inference, and the limits of causal conclusions.
  • Strong ownership and the ability to make progress when requirements are ambiguous.
  • Clear communication skills and experience partnering with both technical and non-technical stakeholders.

Skills

Required:SQLPythonProduct analytics
Last updated Oct 15, 2026. Interested? Apply on the company site.

About OpusClip

#1 AI video clipping and editing tool

OpusClip turns long videos into high-quality viral clips, and publishes them to all social platforms in one click. We help 10M+ creators create and grow faster.

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