Senior Manager, Data Automation
1 month ago
Customised Python development: contribute to internal and/or external libraries by raising issues, adding documentation and/or contributing new featur.....
- Customised Python development: contribute to internal and/or external libraries by raising issues, adding documentation and/or contributing new features; write clean, re-usable code, expertise in optimizing code, and the ability to perform code reviews for colleagues
- Data Domain knowledge: proven understanding of data sources and data and analytics requirements in Python and text mining with experience in data analysis or other enterprise platform operations activities.
- Right approach/tool choice: deep understanding of a wide range of commonly available Data Science approaches and tools and choose the right ones to solve the problem
- Data Manipulation: understand the lifecycle of the data and the data systems deployed in your team; make changes to the data tech stack; write and maintain advanced data pipelines; have expert Python skills; handle all types of data (e.g., streaming, structured, unstructured data)
- NLP and Machine Learning: understand and have applied a range of Natural Language Processing and machine learning methods to build data science algorithms (e.g., text mining and sentiment analysis)
- Operationalising Data: Proven expertise in bringing data and operations to scale, previous experiences including platforms such AWS, Azure or GCP.
- Scalability, Reliability, Maintenance: proven experience in building scalable and re-usable systems and automating operations
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