Data Scientist
Company revealed to Pro
- Location
- Burnaby, British Columbia
- Pay
- $85K to $115K a year
- Employment
- Full-time
- Level
- Mid level
Employer posted Sep 24 · Added to VDJ Oct 9 · Last checked today
AI company. This company doesn't make vertical drama. We list the role because the skills carry straight over to vertical work.
About the role
A new role in Burnaby. Pro members see the company and apply now. It opens to everyone on October 24.
Skills and tools
PythonSQLTableauLooker
What you'll do
- This is a hands-on role for someone who is equally comfortable writing SQL, investigating unexpected data, defining metrics with stakeholders, and communicating a clear recommendation.
- 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.
What they're looking for
- 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.
Nice to have
- Experience with BigQuery or another cloud data warehouse.
- Experience in a product-led SaaS, subscription, consumer software, creator-economy, or AI product company.
- Experience analyzing subscription payments, retention, revenue, or LTV.
- Familiarity with Stripe, Apple, Google Play, PIX, or other payment-platform data.
- Experience with automated data-quality monitoring or anomaly detection.
- Experience partnering with ML or AI teams on model evaluation, data curation, or online experiments.
We found this on the studio's own hiring page.
Pro members see the company and the apply link, and apply first. It opens to everyone after 30 days.
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