Data Scientist (Time Series)
Tasks
- Build post hoc failure analysis workflows
- Build real time detection pipelines
- Design anomaly detection models
- Ensure reliability, observability, and performance
- Evaluate and improve model performance
- Implement machine learning and statistical models
- Transform manufacturing and test log data into insights
- Translate domain expertise into production systems
Perks/Benefits
- Annual company retreat
- Education bonus
- Equity participation
- Optional in person events and meetups
- Paid time off
- Tailored career roadmaps
- Winter break
Skills/Tech-stack
Anomaly Detection | CI/CD | Data Analysis | Data Pipelines | Experiment tracking | Feature Engineering | Machine Learning | Model Deployment | Production Monitoring | PyTorch | Python | SQL | Scikit-learn | Series analysis | Statistical modeling | TensorFlow | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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