Senior Data Scientist

Match Digital ,
London, Greater London
Salary: From £75,000 to £85,000 per annum + bonus + benefits

Overview

Senior Data Scientist eCommerce / Retail Central London, London Up to £85,000 bonus benefits This is an exciting time for a Senior Data Scientist to join a global retailer with both a strong physical heritage and digital presence. Seeking to bridge the gap between physical and digital customer experiences, this is an opportunity for an experienced Data Scientist to help deliver a hyper-personalised brand experience on a global scale. You will lead a 5-strong internal team of Junior Data Scientists & Analysts, leveraging the latest advances in machine and deep learning to predict the next-best-action for customers around the world. The role of a Senior Data Scientist A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customer-facing platform. Collaborate with Customer Experience, Product, Design and Engineering teams to demonstrate use cases for hyper-personalisation, intelligent site navigation and behavioural segmentation. Work with Optimisation teams on projects that can draw from advances in Big Data & Machine Learning. Design frameworks that lead to the optimisation of precision marketing. Provide technical leadership to the wider team, but in-house and agency-side. What experience do I need to demonstrate? Experience working as a Data Scientist or Senior Data Scientist in a commercial environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming language including Python, Java, C/C++, R. That you can work in a cross-functional environment, managing stakeholders across multiple stakeholders and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe. Some of the benefits A flexible environment, that allows 1-2 days of remote working per week. 28 days holiday a competitive pension scheme. Private healthcare, dental and travel insurance for you and your immediate family. Employee discounts to be used in-store and online. Free breakfast, season ticket loan, cycle to work schemes and various partner discounts. Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries. This job was originally posted as www.totaljobs.com/job/89811586