Related skills
forecasting bigquery sql python dbt📋 Description
- Lead data science on Decision Intelligence; define strategy and roadmap.
- Partner with VP and stakeholders to implement value via modeling and experiments.
- Own forecasting models for Finance, including revenue and churn predictions.
- Mature audience segmentation and GTM profiling for targeted motions.
- Improve retention/expansion intelligence; churn risk models.
- Develop pricing and monetization strategy via price sensitivity experiments.
🎯 Requirements
- 5+ years in data science or quantitative field; strong Python and SQL.
- Deep experience with statistical modeling, forecasting, segmentation, experiments.
- Strong IC; hungry to grow by building something from the ground up.
- Move fast; comfortable with ambiguity; set direction.
- Strong communicator; translate analysis into actionable recommendations for technical and non-technical stakeholders.
- Experience partnering with engineering teams to productionize models (MLOps, monitoring, CI/CD).
🎁 Benefits
- 5-week vacation
- Paid sick leave
- Paid parental leave (16 weeks)
- MacBook Pro
- Private health insurance and RRSP matching up to 4%
- Toronto onboarding week; flights and accommodation provided
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