Data Scientist
Tasks
- Build production ML workflows
- Create features from raw signals
- Deploy and monitor models
- Design dataset design and architecture
- Improve multi task prediction model
- Incorporate identity graph features
- Iterate model performance in production
- Optimize for advertiser business impact
- Own prediction stack
- Train and debug deep learning models
Perks/Benefits
Skills/Tech-stack
Ad-Tech | Bias detection | CTR Prediction | CVR Prediction | Cross device | Cross-device attribution | Dagster | Data Drift | Data drift monitoring | Data leakage | Data leakage detection | Deep learning | Distribution Shift | Drift monitoring | Feature Engineering | Identity graphs | Inference Server | JAX | Leakage detection | Model Debugging | Model calibration | Multi-task Learning | ONNX | Optimization | PyTorch | Python | Recommendation Systems | TensorFlow | Triton Inference | Triton Inference Server
Education
N/A
Roles
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