Lead Data Scientist, OLX Group

• You should be located in Portugal, Spain, Poland, or Germany
• 4+ years of experience in managing Data Science teams
• You should have proven experience in Ranking and LTR algorithms
• Proficient in English with excellent written and oral communication skills!
• Strong presentation skills
• Able to work in diverse, multi-functional teams with people from different backgrounds
• Solid background in statistics and modeling
• Good knowledge of Python, which means having experience with at least one of the following: Scikit-Learn, TensorFlow, PyTorch, Pandas
• At least 5 years of (hands-on) experience with Machine Learning (supervised, unsupervised, etc.)
• Very good knowledge of NLP and Deep Learning (Embeddings, Language Models, Transformers, etc.)
• Good knowledge of Generative AI and Large Language Models (LLMs)
• Good understanding of engineering best practices, that is: testing, CI/CD, monitoring, alerting, containers
• Hands-on experience with SQL
• Experience with MLOps

Desirable

• The Ranking Data Science team at OLX Group is responsible for building and scaling ranking algorithms across OLX Europe
• Our main goal is to help our stakeholders to increase efficiency and performance by delivering state-of-the-art LTR algorithms across our platform to serve our customers when looking for items in our vast catalog
• In a nutshell you will be exposed to projects such as:
• Multiobjective optimisation (e.g., optimize for more than one revenue stream)
• Personalisation (user personalisation)
• LTR Framework (ability to train models capable of optimizing specific targets based on varying contexts within OLX’s sectors like Motors and Real Estate)
• Semantic Search (Integration and optimisation of the end-to-end search flow)
• Etc...
• Our team collaborates with product and tech teams from OLX, as well as the Motors and Real Estate verticals like Otomoto and Otodom, across the entire EU region
• This means that our solutions need to scale to millions of data points and need to be designed to be reused in markets with similar characteristics
• We think of experimentation as a tool to learn what our users want
• We always start simple and fail fast
• This way we can create solutions that can be adapted to every market
• Work in multi-functional teams with people from different backgrounds to build our Ranking algorithms, developing further our LTR Framework
• Mentor and manage a team of 7 brilliant data scientists
• Partner with our Platform teams to get support for innovation (you will be given the opportunity to think outside of the box! 10x and not “only” 10% incremental value!)
• Find opportunities where data science will make an impact
• Help to translate business requirements into machine learning projects
• Measure the impact of your models on company goals
• Collaborate with internal and external stakeholders. You will find a group of friendly people that want to collaborate with you to improve our platform capabilities and the user experience and ultimately have fun together!
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Spain, Germany, Bulgaria, Romania, Poland, Ukraine, Kazakhstan and Uzbekistan
• Most importantly you will have fun working with us :)