Data Scientist
4 weeks ago
This is a remote position, and we're considering candidates in the Canadian time zones.
About the RoleWe are looking for a Principal Data Scientist to be the founding member of our predictive analytics practice within our Data & Analytics team, with a focus on building capabilities around operationalizing ML models to drive core financial metrics and customer consumption forecasts.
Key Responsibilities- Partner with Data Engineering to ensure the model infrastructure is in place to serve, monitor, test, and retrain any models put into production
- Identify and build solutions to leverage these forecast models for operational use cases (e.g., Partner closely with RevOps to both understand and predict customer consumption as a part of our sales planning and territory management
- Collaborate across Product, R&D, and Data Engineering to identify and ingest new sources of data to improve model performance
- Extensive experience building production-ready ML models for time series applications
- Experience establishing shared standards, best practices, and expectations of data science
- MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
- 7+ years of experience with Python and familiarity with SQL
- Hands-on experience with cloud data warehouses (e.g.,
- Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success
In Canada, the base compensation range for this role is CAD 213,693- CAD 256,431.
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