Sr. Data Scientist
Tasks
- Build end-to-end ML pipelines
- Build predictive analytics models
- Collaborate with cross functional stakeholders to define ML solutions
- Detect anomalies
- Develop research prototypes and production deployments
- Engineer features and train models
- Evaluate and deploy ML models
- Model RF signals
- Monitor deployed models
- Optimize circuit and device parameters
- Perform root cause analysis
- Stay current with ML trends for time series data
Perks/Benefits
Skills/Tech-stack
Airflow | Anomaly Detection | Cloud Platforms | Convolutional Neural Networks | Data acquisition | Deep learning | Feature Engineering | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Neural Networks | Optimization | Predictive Analytics | Probabilistic Modeling | PyTorch | Python | Scikit-learn | Signal Processing | Statistics | TensorFlow | Time Series | Transformers
Education
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