Data Scientist, Commercial Systems at Canonical

We expect

• Bachelor's degree or equivalent in Computer Science or a related engineering field
• Ability to decompose complex business problems into computational experiments
• Rigorous and consistent application of the scientific method
• Ability to condense heterogeneous data into understandable forms
• Experience with open source data platform software, from ingestion to visualization
• Experience with the Python scientific stack, data structures, and algorithms
• Experience within machine learning frameworks such as TensorFlow or PyTorch
• Experience with RDBMS or NoSQL databases and ability to use SQL
• Experience using Linux as an advanced user
• Basic understanding of containerization technologies such as Docker and Kubernetes
• Excellent verbal and written communication skills in English
• Ability to collaborate remotely with a diverse set of team members and stakeholders
• Motivated, productive, and organized in a fully remote environment
• Ability to travel to international destinations for up to two weeks at a time, approximately 2-4 times per year. Locations prior to the global pandemic included New York, Seattle, London, Cape Town, Budapest, Berlin, Montreal, and Brussels.

What Canonical offers

• Personal learning and development budget
• Annual compensation review
• Recognition rewards
• Annual leave
• Priority Pass for travel