Staff Data Scientist - Ads (AI Native)
Tasks
- Build scalable pipelines for experimentation and machine learning workflows
- Build train deploy and scale machine learning models
- Design develop and deploy machine learning and optimization solutions
- Develop algorithms for advertising performance delivery efficiency and scalability
- Establish monitoring logging alerting and performance tracking for machine learning systems
- Implement data code and model lineage for reliability compliance reproducibility and security
- Integrate model outputs into production advertising systems
- Mentor data scientists and contribute to machine learning architecture decisions
- Own machine learning systems for advertising solutions at scale
- Provide production support for live system issues
- Review and validate AI generated code analysis and models for production quality
- Use AI native development tools to automate workflows and accelerate delivery
Perks/Benefits
- Company-wide holidays
- Comprehensive medical, dental, vision, life, and disability insurance
- Employee assistance program
- Equipment tools and reimbursement support
- Flexible paid time off
- Learning and development programs
- Remote-first work environment
- Retirement savings RRSP with DPSP
Skills/Tech-stack
AWS | Advertising Technology | Apache Airflow | Apache Spark | Continuous integration | DBT | Data Pipelines | Databricks | Docker | Experimentation | Google Cloud | Kubeflow | MLflow | Machine Learning | Model Deployment | Optimization | PySpark | Python | Recommender Systems | SQL | Version control
Education
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