Senior Data Scientist

BADOO LIMITED ,
London, Greater London
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Job Description

Badoo is looking for a Senior Data Scientist to join our team and assist us in using data science to deliver effective results. Together with us you will develop machine learning models to serve a variety of areas within the business; Product, Marketing, Billing teams and so on. With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find love all over the world! The ideal candidate combines strong business acumen, extensive experience in machine learning applications along with a passion for tech. RESPONSIBILITIES/JOB ROLE * Deliver impactful business results through the development and delivery of cutting-edge machine learning models * Leverage Big Data tools and techniques in order to build innovative solutions using appropriate modelling techniques * Assist in driving improvements to our current prediction modelling infrastructure in terms of process, performance and testing * Work with large, complex data sets whilst solving challenging business problems * Collaborate with internal business stakeholders, data scientists and engineers in order to identify improvement opportunities from an AI perspective REQUIRED EXPERIENCE, KNOWLEDGE AND SKILLS * Demonstrable experience implementing machine learning models; from initial conception right through to the final productionalised model * Extremely confident in terms of programming and scripting (strong Python essential) * High familiarity with libraries such as scikit-learn, tensorflow, keras, pandas, numpy * Strong statistical modelling background * Python web development (Tornado, Flask) experience is desirable * Ability to combine business intuition with the application of advanced solutions * A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities * A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

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