Data Scientist - Commercial - FARFETCH

PT Lisbon
13 Jan 2021
31 Mar 2021
Full Time
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.

We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.


We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team who create Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.


Our Lisbon office is located in Portugal's cosmopolitan capital. Mostly the teams here are focused around Technology and Store of the Future. In this office, Farfetchers like to have catch ups in the ball pit or creative moments by the grand piano!


We are looking for a Data Scientist to join our effort in Machine Learning (ML) for Commercial. We want to optimise, automate, and test our planning and pricing actions on over 300,000 products in the Farfetch marketplace. We are looking to improve the supply we obtain and the price over the lifecycle of our products. The objective is to optimise, measure, and adapt our planning and pricing strategy in an automated way that is aligned with business needs. Reporting to the Lead Data Scientist of the Commercial Data Science team, you'll be part of a pragmatic team who picks whatever technique is appropriate for the task at hand (including Deep Learning, Gradient Boosting, Graph Modelling, Recommender Systems, etc.), keeping an eye to what is happening in academia and in the industry to stay on top of recent developments. We work in Python running on a Kubernetes cluster in Google Cloud.


    • Design and develop state-of-the-art ML algorithms focusing in particular on time series forecasting and pricing optimisation
    • Design and implement experimentation around planning and pricing projects to measure the impact on business indicators and retrieve data for model building
    • Work together with the engineering team to productionise and integrate ML algorithms into our backend or connect them to third-party tools
    • Communicate complex solutions in a clear and understandable way to both experts and non-experts


    • You have a degree in Machine Learning, Statistics, Mathematics or another quantitative discipline;
    • You have relevant industry experience in a Machine Learning or Data Science role (exposure to Marketing problems is a bonus)
    • Experience in Python software development (production-grade code, including code reviews, agile development, version control, etc.) and familiar with ML/scientific packages (e.g. Pandas, numpy, scipy, scikit-learn, gensim, keras, TensorFlow, PyMC3, PyStan, nltk, and spacy)
    • You have experience using state-of-the-art ML techniques in a business setting, such as Bayesian modelling, neural networks, graph ML, reinforcement learning, etc.


    • Health insurance for the whole family, flexible working environment and well-being support and tools
    • Extra days off, sabbatical program and days for you to give back for the community
    • Training opportunities and free access to Udemy
    • Flexible benefits program
    • FARFETCH Equity plan


    • FARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.

Optimise our planning and pricing strategy though Machine Learning.${description2}

More searches like this