Data Scientist

OLX Group

Remote, Poland

In your day-to-day routine, you will have the opportunity to work on LMM-based models for various applications, voicebots, supervised models for behavioral classification and regression models for value estimation. 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 LLMs and GenAI, from a 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 and Ukraine.
Most importantly, you will have fun working with us :)

Who we are looking for:

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.
At least 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.