Data Science Manager

at OLX
  • Remote - Spain

Remote

Data

Manager

Job description

WELCOME TO OLX

At OLX, we work together to build a more sustainable world through trade.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom, Property24.

Join OLX and see how far you can go.

JOIN THE OLX RANKING DATA SCIENCE TEAM

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.

What you will be doing:

  • 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 :)

Who we are looking for:

  • 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

Nice to have:

  • Exposure to other programming languages such as Kotlin, Java, Scala, etc
  • Experience bringing models into production and serving models at scale
  • Experience using AWS for deploying machine learning solutions
  • Experience with building data pipelines using tools like Spark and Airflow
  • Understanding of A/B testing and experimentation
  • Exposure to MLOps tools

What we offer:

  • Permanent contract
  • Salary + annual bonus up to 20% of your annual gross salary
  • Work with and impact all OLX websites
  • Train and conference budget and free access to Udemy courses
  • Health insurance
  • MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
  • 100% remote work (and the possibility to work from our office in Barcelona)

Why join OLX?

At OLX, we invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training, and leadership behaviors a key focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world.

Diversity, Equity and Inclusion at OLX

At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.

If you are excited about this role, and your past experiences do not align perfectly with every criteria asked for in the job description, we would still like you to apply. You may be just the right candidate for this or other opportunities across the business, and we’d like to hear from you.

OLX (OLX consists of OLX Global B.V. and its affiliated companies) will handle your personal data with care and will process your personal data to assess your fit for the position you are applying for. You can give your consent (optional) to allow us to store your data for up to 12 months after the application process. So that in case you are not fit for the role at stake we can consider you for other suitable roles.

Please refer to our Privacy Statement to find out more about how your application data will be processed.

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