**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, AutoTrader, Property24\.**Join OLX and see how far you can go**. **JOIN OUR DATA SCIENCE TEAM!** We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual) and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds cross\-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others. In your day\-to\-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM\-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day\-to\-day business of our customers. ### **What you will be doing:** * Work in the Data Science team, focusing on the Motors vertical. * You will build models, tinker around them to make them work, test them, and eventually deploy them to production. You will see your stuff in action and you will be able to measure the true impact of your models. * You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner. * Partner with Engineering and Product to deliver solutions (customer\-facing and platforms) to our customers (internal and end customers). * Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers. * Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform. * You will work in multi\-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania. * Most importantly, you will have fun working with us :) ### **Who we are looking for:** * You must be located in Portugal. * Solid background in statistics and modeling. * Very strong analytical skills. Like really strong! So strong that truth and light are your two middle names. * Good knowledge of Python, which means having experience with at least one of the following: Scikit\-Learn, TensorFlow, PyTorch, or Pandas. * At least 2 to 3 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, and containers. * Hands\-on experience with SQL. * Experience with MLOps. * 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. ### **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. ### **Our hiring process:** * Recruiter Interview * Hiring Manager Interview * Technical Interview * Take\-home Exercise Panel Interview * ### **Our benefits:** * Permanent contract * Salary \+ annual bonus up to 15% of your annual gross salary * Work with and impact all OLX websites around the world * Train and conference budget and free access to Udemy courses * Health insurance and life 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 Lisboa) **Diversity, Equity and Inclusion at OLX** OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements \- you may be just the right fit for this or other opportunities with us! *OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our* *Privacy Statement**.* We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.