Senior Data Scientist - Recommendations

Job Description

Description

The Role

Farfetch is building the next-generation intelligent platform for online luxury fashion, powered by large-scale data and state of the art Machine Learning, Deep Learning and Computer Vision algorithms. You will join a talented team of Data Scientists, Engineers and Product designers to help build and optimize, through research and experimentation, our data-driven products.

• Design and develop state of the art algorithms in the area of Recommender systems;
• Conduct practical research with a scientific mindset, and a focus on delivery;
• Work closely with the engineering team to integrate ML algorithms into the platform;
• Engage with business stakeholders, product managers and designers to help deliver a shared vision of a luxury fashion recommender system
• Scientific and technical publications are possible and encouraged.

• MSc or PhD in a quantitative discipline: Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related areas.
• Minimum of 2 years’ experience in a Data Science related role, preferably working within a Retail and E-commerce environment.
• Hands-on experienced in Recommender Systems. Practical contact with large-scale recommender systems in production is a plus.
• Experiecend in online testing methodologies (AB Testing, Multi-armed bandits). Experienced in designing and analysing online experiments is highly valued.
• Fluent in Python and common numerical and ML packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras, TensorFlow, PyTorch, PySpark). Experience developing production software is a plus.
• Experienced dealing with large amounts of data and knowledge of big data technologies is a plus (Spark, Hive, Hadoop, DataBricks).
• Able to communicate findings and data science concepts clearly to both technical and non-technical audiences.
• Fluent in English, both written and spoken.
• Interested in keeping up to date with scientific advancements.