Mid-Level Data Scientist, Trust and Safety

WELCOME TO OLX

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 8+ 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 OLX, Otomoto, and Otodom – 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 DATA SCIENCE TEAM

We are hiring a mid-level Data Scientist for our Trust and Safety team. In Trust and Safety, our mission is to protect the OLX community from harmful or inappropriate experiences, ensuring that our users can buy, sell and connect with confidence, whether they are searching for their next item or their next job on our platforms.

We invite you to join a team that works with our consumer platforms 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 LLM-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 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 :)
  
  

Who we’re looking for:

• Located in Poland.

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• At least 3 years of professional experience as a Data Scientist.
• Very strong analytical skills. Like really strong! So strong that truth and light are your two middle names.
• 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, or Pandas.
• 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 benefits:

• Permanent contract (we are not offering a B2B option)
• Salary + annual bonus up to 15% of your annual gross salary
• IP Rights’ Costs (tax-deductible costs up to 70%)
• Work with and impact all OLX websites across Europe
• Train and conference budget, and free access to Udemy courses
• A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by PZU Zdrowie, Ask Henry services, and much more
• 100% remote work (and the possibility to work from our offices in Poznan and Warsaw)
  
  

Our hiring process:

• Recruiter Interview
• Hiring Manager Interview
• Technical Interview
• Take-home Exercise
• Panel Interview
  
  

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.