Senior Data Scientist - Customer Marketing - FARFETCH

Location
PT Lisbon
Posted
01 Sep 2021
Closes
27 Nov 2021
Ref
6296905c-598c-41b5-b904-5ae05292713d
Function
Technology
Hours
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.

DATA

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.

LISBON

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!

THE ROLE

Our mission is to automate Marketing operations, applying our understanding of the customers to improve the way we communicate with them across multiple channels and provide a personalised marketing experience. Reporting to the Lead Data Scientist of the Marketing Data Science team, you'll be part of a small team able picks whatever technique is appropriate for the task at hand (including Deep Learning, Gradient Boosting, Graph Modelling, Recommender Systems, Reinforcement Learning), keeping an eye to what is happening in academia and in the industry to stay on top of recent developments. We work with large volumes of data, in Python running on Kubernetes in Google Cloud.

WHAT YOU'LL DO

    • As the main individual contributor on some high-profile initiative, architect and develop ML algorithms, focusing in particular on customer behavioural models and marketing automation/optimisation;
    • Work with the engineering team to productionse and integrate machine learning (ML) algorithms into our backend or connect them to third-party tools;
    • Support experimentation to measure the impact of our models;
    • Communicate complex solutions in a clear and understandable way to both experts and non-experts.


WHO YOU ARE

    • You have a degree in Machine Learning, Statistics, Mathematics, Econometrics or another quantitative discipline;
    • Experience in a Machine Learning or Data Science role with clear impact; exposure to Marketing problems is a bonus;
    • Experience in Python software development (production-grade code, including code reviews, agile development, version control) and familiar with ML/scientific packages.
    • You have experience using ML techniques in a business setting, such as neural networks, recommender systems, Bayesian modelling, graph ML. Experience with reinforcement learning is a bonus.


REWARDS & BENEFITS

    • 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


EQUAL OPPORTUNITIES STATEMENT

    • 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.
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