Shop Direct – Senior Data Scientist
- Recruiter
- SHOP DIRECT
- Location
- Central London, London (Greater)
- Salary
- Competitive
- Posted
- 02 Jun 2017
- Closes
- 30 Jun 2017
- Sectors
- IT
- Contract Type
- Permanent
- Hours
- Full Time
Shop Direct – Senior Data Scientist
We are currently looking for senior data scientists to join our fast growing data team, to help us solve real-commercial problems, providing insights to the business.
Requirements:
- Evidence of having applied data science techniques in commercial industry
- 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