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Data

Our Data team is the backbone of informed decision-making, harnessing the power of analytics to propel our business forward. Here, data integrity, scalability, and insight generation are paramount. As a member of this team, you’ll transform complex datasets into actionable insights that influence every facet of our operations. 

 

On this page, you can get a flavour about the tech stack we use, the structure of our teams, and role descriptions that give you an idea of some of the roles within Data.

Tech Stack

Our data teams have access to an advanced suite of programs designed to tackle a wide range of data challenges. With key tools such as HuggingFace, Monte Carlo, and Tableau, we ensure that our data professionals have the best resources at their disposal. 

While our tech stack is fixed, we maintain a tools-agnostic approach, giving team members the freedom to solve problems in the most effective way possible. They can bring in additional tools that will help them get the job done, fostering an environment of innovation and efficiency.

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Structure

Our Data teams are integral to the success of well-known platforms such as Otodom, Imovirtual, Storia (real estate), Otomoto, Standvirtual, Autovit (motors), and OLX (marketplace). 

Joining our team means fully owning parts of the system and contributing to our mission of harnessing data to drive smart decisions and deliver products our customers love. Embracing our experimentation mantra, “Models should die in production,” we ensure our job is done only when the results are visible.

Our Data teams operate as strategic partners, with members allocated to various “Pillars” such as OLX Demand, OLX Supply, Trust and Safety, Jobs and Services, and Motors across the EU. 

 

These teams are organized into specialized groups (called ‘Packs’ at OLX), each with a unique focus and expertise:

Infrastructure 

Our Infrastructure team is the backbone of our data operations, ensuring that our data systems are robust, scalable, and secure. They manage the architecture and platforms that store and process vast amounts of data, enabling seamless data flow and accessibility across the organization.

Engineering 

The Engineering team focuses on building and maintaining the tools and pipelines that facilitate data collection, transformation, and integration. They develop scalable data solutions and ensure that data is clean, reliable, and ready for analysis

Data Science 

Our Data Science team is at the forefront of turning data into actionable insights. They use advanced statistical methods, machine learning algorithms, and predictive modeling to uncover patterns and trends within the data.

Analytics 

The Analytics team translates complex data into meaningful insights that drive business decisions. They create reports, dashboards, and visualizations that make data accessible and understandable for stakeholders across the organization.


Role Examples

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