Lead Data Scientist - Operations

Farfetch (NYSE: FTCH)

  • Location
    • Lisbon
  • Date Posted
  • 10 Sep 2020
  • Function
  • Data Science
  • Sector
  • Retail

The role

We are looking for someone who wants to help set the standard in data science for operations.

We solve complex problems with carefully defined approaches backed by data, and get to see the outcome of the implemented solutions impacting hundreds of employees and millions of customers.

In particular, Operations in Farfetch includes our global Supply Chain with millions of orders and thousands of routes, and our product imagery and descriptions, which we aim to continuously improve and optimize. With that purpose, we leverage large volumes of structured and unstructured data - in the form of both images and natural language - by applying state-of-the-art machine learning/deep learning and operations research techniques, against a wide spectrum of problems.

While we have many projects in delivery, we also keep a heavy focus on research, so that we always know what the best solution for a given problem is.

We are looking for someone who is a self-starter, with relevant experience successfully leading teams and developing people.

What you’ll do

  • Design and develop state of the art algorithms covering a wide range of potential use cases across Operations (delivery forecasting, returns prediction, etc.);
  • Work closely with the engineering team to integrate machine learning (ML) algorithms into the platform;
  • Help in the design of new Data Science Products, and drive innovation inside the company;
  • Help to hire, coach, and lead a team of talented data scientists to deliver value;
  • Identify opportunities to improve the customer experience driven by operations;
  • Identify opportunities to automate operations;
  • Engage with our technology partners (e.g., data engineers, infrastructure) to refine the road to production;
  • Communicate complex solutions in a clear and understandable way to both experts and non-experts.

Who you are

  • MSc or Ph.D. in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or equivalent;
  • Minimum of 5 years’ experience in a Data Science related role, preferably working within a Retail and E-commerce environment;
  • Previous experience leading a Data Science team;
  • Fluent in Python and Data Science & ML packages (Pandas, nltk, spacy, scikit-learn, gensim, keras, TensorFlow);
  • Supervised learning methods (linear and logistic regression, decision trees, random forests, boosting methods, graphical models, neural networks/deep learning, etc);
  • NLP and Computer Vision methods (word embeddings, BERT, ResNet, etc);
  • Mathematical optimization (mixed integer programming, linear programming, stochastic programming/optimization, etc.);
  • Interest and passion for big data technologies (e.g., Hadoop, Spark, Hive, Cloud services);
  • Fun to work with.