Data Scientist – Recommendations and Personalisation

Website Farfetch

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 and Engineers to help build and optimize, through research and experimentation, our personalisation products. Your main goal is to enable the use of personalisation for every service across the Farfetch platform, as an example you will participate in the development of personalised recommendations, rankings and search results.

 

WHAT YOU’LL DO

  • Design and develop state of the art algorithms, mainly using collaborative and personalisation techniques;
  • 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 identify challenges and opportunities, deriving valuable insights and deliver a shared vision of a luxury fashion personalisation;
  • Scientific and technical publications are possible and encouraged.

 

WHO YOU ARE

  • MSc or PhD in a quantitative discipline: Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related areas.
  • Practical contact with large-scale recommender systems or other personalisation systems in production is a plus.
  • Experienced 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 (DataBricks, Spark, Presto, Hadoop).
  • 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.

Disclaimer

Data Science Portugal retains the right to refuse to post jobs from any employer or any organization that do not support the interests and values of Data Science Portugal and its community.

Postings are based on the information provided by the employer and is of their entire responsibility.

Data Science Portugal makes no guarantee about positions listed and is not responsible for safety,wages, working conditions, or other aspects of employment. It is the responsibility of each individual job seeker to research the integrity of the organization(s) to which he/she is applying and to verify the specific information pertaining to the job posting. Job seekers should exercise due diligence and use common sense and caution when applying for or accepting any position.

We will not post jobs that appear to discriminate against applicants on the basis of race, color, religion, creed, age, national origin, sexual orientation, disability, or gender.


To apply for this job please visit jobs.lever.co.