Our client requires an Intermediate Data Scientist (Python, R) to design and develop data models for Supply Chain Procure-to-Pay (P2P) transactional data.
This role will sit within Supply Chain / Procurement Services.
To be considered for this role one must possess :
Minimum of 2 years of experience in data analysis
Knowledge and demonstrated experience working with modern data science technologies (R, Python, Aleryx, etc.)
Advanced knowledge of data modeling, storage, access techniques
Ability to transform sophisticated data into engaging easy to comprehend material
Master’s degree in Engineering, Computer Science, Mathematics, Statistics, Management Information Systems or related field would be highly preferred but years of experience can outweigh this
Functional expertise within Supply Chain is a component the client is prepared to train.
Interviewed candidates will be required to deliver a demonstration of a model they have built in the final round.
Expertise and Skills
Business Intelligence, Data Scientist 2 - 4 years
Must-have : What is your experience designing and developing data models using Python or R?
Must-have : What is your experience building documentation of data processing, assumptions and logic used to transform data?
Potential, but small travel to Edmonton