Junior Data Scientist | GenAI

We're building marketplace sustainable ecosystems that millions of people depend on every month - to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win - and you get a culture that's ambitious, fast-moving, and built on trust. Our brands - including AutoTrader, OLX, Otomoto Property24, and more - are loved by millions. And we're backed by Prosus, one of the world's largest tech investors. Join OLX and see how far you can go. JOIN OLX GENERATIVE AI DATA SCIENCE TEAM We invite you to join our team. Your job will be to build Generative AI video services and agentic systems for all OLX customer units (Motors, Real Estate, Goods, Jobs and Services)., As a Junior Data Scientist in the team, you will work with an amazing squad composed of different profiles such as Data Scientists, Engineers, Product Managers and Analysts. The team will be focusing on building and deploying Generative AI Media services, agents and 3D at scale across all OLX platforms. Our overarching goal is to drive impact and push the boundaries of innovation, delivering these next-generation experiences in a relentlessly cost-efficient manner. You will be responsible for ensuring that ideas are either deployed to all users or die in production, not surviving the validation. Iterate quickly, fail fast, learn, and improve. The power is yours!

What you will do as an Data Scientist in Data Science at OLX:

• Work in the Data Science team, focusing on LLMs and GenAI, from a platform and marketplace perspective.
• 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 (less expected, yet a requirement)
• You will maintain strong relationships with stakeholders. This means asking a lot of 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 elegant and timely 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.
• Partner 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, Bulgaria, Romania, Poland, Ukraine, Kazakhstan, and Uzbekistan.
• Most importantly you will have fun working with us :)

• At least 1 year of professional experience as a Data Scientist
• At least some knowledge of Generative AI and LLMs (e.g., foundations like Transformer-based architectures, embeddings, etc.)
• Good knowledge of the best engineering practices
• Experience with serving machine learning models at scale
• Strong engineering background: excellent knowledge of Python and SQL
• Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch (or similar)
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Nice to have:

• Experience in computer vision
• Exposure to other programming languages in the past, 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
• Exposure to 3D and/or video editing
• Experience with Agentic coding, SDD
• Understanding of A/B testing and experimentation
• Exposure to MLOps tools

• Permanent contract
• Salary + annual bonus
• Work with and impact all OLX services in Europe
• Train and conference budget and free access to Udemy courses
• Health insurance
• MacBook Pro, along with the necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Barcelona)