Shop Direct - Data Scientist

Shop Direct - Data Scientist

We are currently looking for data scientists to join our fast growing data team, to help us solve real-commercial problems, providing insight to the business.

Requirements:

• An advanced degree in a scientific or technical field, up to at least Master’s Level
• Degree-level knowledge of mathematical concepts, including linear algebra, probability theory, and statistics. Evidence of having applied these concepts in previous academic or professional work
• Knowledge of experimental design, including the use of confidence intervals, t-tests, and sampling techniques
• Knowledge of commonly-used machine learning algorithms, including but not limited to Bayesian methods, linear regression, logistic regression, neural networks, and support vector machines
• Demonstrated experience in cleaning large data sets to ensure they are ready for use
• Knowledge of techniques to extract features from data, including but not limited to feature scaling and mean normalisation
• Knowledge of how to split a data set into training and test data, and when and how to use cross-validation data as part of your work
• Proficiency in at least one scientific programming language and willingness to learn others. Evidence of at least three years’ programming experience
• Evidence of having written production-quality code, either in academic, industry, or hobby projects
• Evidence of an understanding of principles of how to design, structure, test and debug programmes that you or others have written
• Strong written and verbal English skills, including evidence of having submitted and presented scientific work as part of your degree programme
• The ability to work with diverse stakeholder groups, including technical but also non-technical team members
• The ability to make sound judgments regarding the importance and feasibility of tasks, and to take appropriate action in ensuring a high quality output in changing circumstances

Day to day routine 

• Analysing large data sets 
• Building statistical models 
• Writing machine algorithms that are trained on our data set 
• Collaborating with other functions to ensure our models are integrated into production codes for use in applications 
• You will be using SAS as well as open source tools i.e Python and Associate and machine learning libraries