Data Science Lead – Measurement and Experimentation
Toronto, ON, M5V 1X6, CAN
CAD 73K-108K (estimate) Senior-level Full Time
Tasks
- Adopt statistical best practices for experimentation
- Align KPIs with statistical measures
- Build Markov chain attribution models
- Build and manage statistical measurement ETLs
- Build, maintain, and optimize dashboards
- Conduct store and customer level experiments
- Develop and support MLOps pipelines
- Develop implement and sustain measurement and experimentation methodologies
- Drive MLOps engineering and coding best practices
- Implement Bayesian measurement and frequentist testing
- Implement quality controls
- Improve measurement algorithms
- Lead data scientists
- Mentor and coach via code reviews
- Orchestrate and automate end to end measurement ETLs
- Perform production model governance
- Translate business requirements into statistical KPIs
Perks/Benefits
- Employee and family assistance program
- Employee share ownership plan
- Health and dental benefits
- In-store discount
- Learning and development opportunities
- Paid vacation
- Parental leave top-up
- Retirement and savings programs
- Virtual healthcare
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Airflow | Attribution Modeling | Azure Synapse | B testing | Bayesian statistics | Databricks | Distributed Computing | ETL | Experimentation Design | GPU Computing | JAX | MLOps | MLflow | Markov Chain | Markov Chain Attribution | Markov Chains | Model Deployment | Model Monitoring | NumPy | Numpyro | PySpark | PyTorch | Pymc | Python | SQL | Snowflake | StatsModels | TensorFlow
Education
Roles
Data Science | Data Science Lead | Data Scientist | Lead | Science Lead | Scientist
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