- Degree in Statistics, Computer Science, Engineering or Mathematics
- At least 4 years of hands-on work experience in data science
- Experience with Python and tools/frameworks in the analytics/ML ecosystem (e.g. numpy, pandas, matplotlib, SciPy stack) and working in Jupyter notebooks
- Experience with SQL and working with large-scale data sets
- Knowledge and practical experience applying Machine Learning techniques
- Experience deploying and managing Machine Learning models into a high-scale production environment
- Practical experience with frameworks such as Pytorch, Keras, Tensorflow, caffe2, or mxnet.
- Excellent problem solving and analytical skills
- Excellent written and verbal communication skills
The EC2 Team in Cape Town is looking for a Data Scientist to help us solve some of the most interesting problems in the Amazon Elastic Compute Cloud (EC2) space. The focus of this role will be to use data analysis to enhance the customer experience of the EC2 web-console.
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.
- PhD or Master’s degree in Statistics, Computer Science, Engineering or Mathematics or equivalent contribution and experience
- Experience working with large-scale distributed systems and data infrastructure
- Experience working with AWS
- Experience in training co-workers
- Project management experience desired for working on cross-functional project