Data Scientist III
Tasks
- Advocate for modeling validation and tooling choices
- Build production-ready models
- Collaborate with product and engineering to ship models
- Communicate model findings to technical and non technical audiences
- Conduct A/B testing
- Deploy and maintain production models
- Design and analyze experiments
- Design feature engineering pipelines
- Interpret experimental results
- Mentor junior data scientists
- Monitor model performance
- Own data science lifecycle
- Provide interview feedback
- Retrain models
- Troubleshoot data anomalies and model issues
- Validate experiments and models
Perks/Benefits
- Additional paid day off
- Additional paid time off for holidays
- Annual performance bonus
- Flexible working hours
- Free parking lot
- Monthly work from home allowance
- Multikafeteria program
- Pension scheme
- Private health care
- Private life and travel insurance
- Remote work option
- Training and workshops
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | BigQuery | Boosted Trees | Causal Inference | Cloud platform | Dataflow | Deep Neural Networks | Distributed Computing | Experiment design | Feature Engineering | Google Cloud | Google Cloud Platform | Gradient Boosted Trees | Kubeflow | Machine Learning | Model Monitoring | Model Validation | Neural Networks | Probability | PyTorch | Python | SQL | Statistics | TFX | TensorFlow | Time Series | Vertex AI
Education
Roles
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