Lead Data Scientist
Tasks
- Align architectures with business priorities
- Assess system reliability scalability and performance
- Build data pipelines for AI ML production
- Collaborate with engineering and product teams
- Conduct code reviews and implement best practices
- Design machine learning models for industrial processes
- Develop analytics applications using AI ML techniques
- Implement MLOps practices
- Lead data science project planning and delivery
- Maintain analytics software platform
- Perform exploratory data analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Clustering | Data Analysis | Data Pipelines | Deep learning | Event Driven | Event-driven architecture | Exploratory Data Analysis | Keras | MLOps | Machine Learning | Pandas | Probability | PyTorch | Python | Real Time | Real-time analytics | Regression | Scikit-learn | Software Architecture | Statistical Analysis | Statistics | Tree-based methods
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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