Marketing Data Scientist

3 weeks ago

Cambridge Cambridgeshire, United Kingdom Highland Capital Europe Full time

Advanced data science is the foundation of our unique technological approach at Featurespace and is the driving force behind our ongoing business success. To maintain our lead at the cutting edge of analytics, Featurespace is looking for a Data Scientist who will contribute to the successful application of our technology and help to grow our business.
As part of Featurespace’s Data Science team, you will be building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and eCommerce transaction data.
If you have an acute analytical mind and would enjoy applying your energies and skills to real-world commercial problems to deliver value to customers, then we would like to hear from you.
This is a hybrid role based in our Cambridge office, so you will ideally be comfortable coming into the office at least once a week. End-to-end processing and modelling of large customer data sets
Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
Providing input into future data science strategy and product development
Working with QA teams to advise on effective analytical testing
Developing an understanding of industry data structures and processes
Degree-level qualification in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering – or equivalent experience
Experience of applying practical machine learning algorithms to real-world data
Experience in implementing statistical models and analytical algorithms in software
Practical experience in the handling and mining of large, diverse, data sets
Problem solving skills (especially in data-centric applications)
A PhD or other postgraduate qualification
Experience working in a Linux command line environment
Experience using SQL to analyse data
Experience with version control software and workflows (e.g. git)
Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture.

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