Data Scientist for the Vertical Search Team
About the Team
On Avito, you can buy and sell almost anything - apartments, items in bulk, a mini-tractor, and a wide selection of husbands for hire. Search scenarios in different categories have their own logic that meets user needs. For the vertical team responsible for search and recommendations in the Fashion&LifeStyle categories, we are looking for motivated middle/senior-level colleagues who can improve the experience of buyers and sellers in these categories. You will be responsible for implementing the full ML model development cycle - from data analysis and insight discovery to testing a huge number of hypotheses and writing Python microservices for launching production experiments with the most effective approaches in the field of search and recommendations.
Examples of future tasks:
- Customization of ranking models (target, ranking factors, blending);
- Personalization of search results;
- Diversification of results and upselling;
- Generation of descriptions and features from item photos;
- Search by sellers and its integration into main results;
- Prediction of deals and accounting for user feedback.
We expect you:
- Are proficient in classical ML, know how to analyze data;
- Have experience in Python development, understand the basics of parallel programming;
- Have experience in implementing search ranking or recommendations, as well as experience deploying developments into production;
- Understand that DS is not just about training models.
It would be great if you:
- Write in Go or any other strictly typed language;
- Know how to work with large volumes of data;
- Have used tools for managing experiments: Weights & Biases, MLflow, DVC, etc.
Working with us means:
- An opportunity to implement your ideas in a project with a multi-million audience;
- A talented team ready to support your initiatives;
- Powerful hardware, additional monitors and everything needed for productive work;
- A transparent bonus system, a competitive salary - we'll discuss the specifics during the interview;
- A personal training budget that can be spent on books, courses, and conferences;
- Health care: from day one, you will have private medical insurance including dentistry, a therapist and a masseuse are available at the office;
- Remote work and a wonderful office two minutes from Belorusskaya metro station: a panoramic view of the city center, spaces for focused work, and relaxation zones.
