col-wideJob Description:
THE ROLE
We are seeking a highly motivated Data Scientist to join our team in building an advanced personalization platform for online services, leveraging large-scale data and state-of-the-art Machine Learning techniques. You will work within a dynamic, interdisciplinary team comprising software engineers, data scientists, and machine learning engineers, reporting directly to the engineering leadership. Your role will focus on search, recommendations, and hyper-personalization, with a strong emphasis on information retrieval and recommendation systems. The platform serves millions of requests daily, powered by Python microservices and processes billions of data points to hyper-personalize the customer experience.
WHAT YOU'LL DODesign and develop state-of-the-art algorithms in domains such as ranking, natural language processing, or computer vision, with a focus on search and recommendations.
Collaborate closely with the engineering team to integrate machine learning algorithms into the platform.
Assist in the design of new product features and drive innovation within the company.
Perform experiments to demonstrate the causal impact of new ideas or implementations and conduct analyses to identify challenges and opportunities, deriving valuable insights.
Prototype, test, and productionize machine learning pipelines to enhance information retrieval and recommendation systems.
Work on developing scalable solutions that can handle millions of requests daily, ensuring high performance and reliability.
Stay updated with scientific advancements and contribute to scientific and technical publications when possible.
WHO YOU AREEducational Background: MSc or PhD in relevant fields such as Machine Learning, Data Science, Information Retrieval, Computer Vision, Natural Language Processing, or related disciplines.
Strong expertise in Python and familiarity with data science and machine learning libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.
Solid understanding of state-of-the-art machine learning algorithms, including advanced deep learning techniques, and experience with models such as transformers, BERT, and GPT.
Proficient in information retrieval techniques, learning to rank algorithms (, RankNet, ListNet, LambdaMART), and relevant performance metrics (, NDCG).
Experience in developing and deploying Python microservices to handle large-scale data and requests.
Ability to conduct practical research with a scientific mindset and a focus on delivering actionable results.
Strong communication and interpersonal skills, with a proven ability to work collaboratively in a team-oriented environment.
Excellent problem-solving skills, capable of abstracting complex problems into their essential components and developing effective solution.
Before ApplyingThrough your application, we want to understand the skills and experiences you have that make you the perfect fit for this role and for FARFETCH. We're passionate about creating the conditions for Farfetchers to grow and develop but we're also looking for people who can hit the ground running, so make sure to apply for a position where you feel you can thrive.
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FARFETCH has been made aware of SCAM activities in the market where people with potential deceitful intentions impersonate the FARFETCH HR Team. Please note that we do not ask for personal information on the phone and we don't make job offers prior to a proper interview process. Also, we DO NOT request for any monetary payments from you at any point of the recruitment process. Every application should be made via our applicants tracking system through our careers website. If you receive a call to schedule an interview with FARFETCH you should ask for a formal calendar invite coming from a email account. If you sense you are being scammed, please contact your local authorities.
