Engineering Manager, Data Science (AdTech)
Remote · Ontario, Canada
Job Summary
Lead and grow the Data Science team to transition from legacy tree-based models to advanced neural architectures for audience propensity, lookalike modeling, and real-time segmentation; own ROAS-based optimization and production Deep Learning systems (embedding layers, feature stores, low-latency serving with ONNX/TensorRT); drive MLOps, experimentation, and autonomous agentic workflows; collaborate with Product, Client Success, and Data Platform to translate requirements into ML solutions and communicate capabilities to stakeholders.
Required Qualifications
- PhD (preferred) or Master’s Degree in Computer Science, Mathematics, or other Quantitative Field
- 8+ years of experience in Data Science or ML Engineering, with at least 2 years managing or leading technical teams
- AdTech Deep Learning Architecture Expertise (e.g., DLRM, DCNv2, Two-Tower)
- Experience deploying models in real-time, low-latency production environments
- Strong Python skills with PyTorch/TensorFlow and traditional ML libraries
- Excellent communication and leadership skills
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