Lead Data Scientist

MADE.COM ,
London, Greater London
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Job Title: Lead Data Scientist Department/Group: Analytics Line Manager: Head of Analytics Location: London (Old Street) Contract Type: Full Time, Permanent Travel Required: No Who we are At MADE.COM we believe that everyone should have access to great design. So, weve taken a unique approach to making and selling furniture - no middlemen, no agents or importers and no high street stores. Instead we work directly with designers and manufacturers so we can offer high-end furniture at attractive prices. Its not an easy task it takes a creative and dedicated team to make it happen where everyone has an important part to play. We combine our individual passions and skills to create innovative work thats as exciting and unconventional as the business itself. Its a place where all ideas are listened to, where brainstorming means job titles get left at the door and where a self-starter can really make their mark. What youll be doing We are looking for someone who can take and drive the data science capability of the Analytics team. As our Lead Data Scientist, you will be mentoring a team of data scientists and analysts who will be participating in different projects within cross-functional teams. You will be focused on delivery of the business impact through scalable production ready data solutions which can vary from machine learning, data pipelines to advanced visualisation tools. Technology and innovation are two key factors in our success. Our platform allows us to manufacture in any of over 150 locations, and ship multiple items from one basket seamlessly. Our backend system keeps track of every item of stock, whether its in production, on a boat, or at a delivery hub. This allows us to eliminate dormant stock and produce big ticket items as close to on-demand as possible, allowing us to make over 1500 new products this year alone. As a company we seek a competitive edge; as technologists and craftsmen were no different. Weve embraced event-driven architectures, DDD, and CQRS in order to achieve our technical goals. Were trail-blazers in the Python community, and we contribute back by writing and talking about our findings and open-sourcing our tools. Analytics team supports multiple streams of the business with some exceptionally successful projects from stock ordering forecasting and optimisation to marketing bidding engine optimisation. And we plan to continue investment into areas that activate the value of DATA. We currently use Google Cloud tools primarily for our internal Data Platform such as BigQuery and Cloud Composer. All our code is executed in the Cloud through DAGs which allows the team to build highly scalable data pipelines and deliver business value efficiently. Initial areas of responsibility will include: Data Science * Research process. You will define and support the research and analytical process that will deliver rigorous business insights. * Perform modeling. You will be responsible for advanced statistical and machine learning modeling in various areas of the business. You will develop data driven analytical tools to make results of your models available to users. * Machine learning. You will build models that can be used reliably for automation of the business. * Communicate insights. You will present your findings to senior management to drive the decision making. Leadership Mentor the team of data scientist and analysts. * Responsible for the success of other data scientists and analysts leading by example. * You will be responsible for communication of the impact to the other teams and stakeholders. * Resource planning and allocation to the projects. Requirements What youll need * Demonstrated team lead or management experience * Proven hands-on experience implementing data analytic solutions using SAS/SQL/R or Python (advanced skills in programming preferred). * Fluency with advanced statistical and machine learning techniques: time series forecasting, product recommendations, classification problems. * Ability to initiate and drive analytic projects from inception to delivery, and productionize and automate the process with excellent programming skills. To stand out * Knowledge in cloud and engineering platform solutions such as AWS. * Experience in retail, marketing, ecommerce, or digital advertising. * Continuous integration and test automation experience. * Google Analytics Premium and Google BigQuery. Benefits W hat we offer * Great opportunities to make the role your own and get involved with exciting projects in a fast-paced, creative and fun office environment. * Were proud of our diverse, supportive company and culture. Our very own in-house Culture Club plans a variety of activities from our annual parties, Friday drinks, social events and more. * Temptingly good employee discounts on MADE.COM (30% for you and 15% for your family & friends). * 25 days holiday per year (on top of bank holidays), plus an extra day of holiday for every year served up to a ceiling of 30 da

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