Data Scientist for the Monetization Team

Data Scientist for the Monetization Team

About the Team

Our team is responsible for the DS direction of Avito's monetization and develops technologies (algorithms, mechanisms, ML models) that ensure the effectiveness of monetization tools for the service and its users. We believe that in matters of monetization, one should first think about the value that can be brought to users, and revenue growth will be a consequence of product and technological development.

The team is rapidly growing: new promotion products, more convenient for sellers, are being launched, additional interfaces are emerging where the buyer searches for listings, presenting opportunities for developing monetization.

To make all products effective and maintain a balance between them, deep immersion in ranking tasks is required.

The Inventory Efficiency team works most closely with search and recommendation engineers to build optimal placement for paid listings without detriment to buyers. To summarize, the team is responsible for ensuring the monetization factor is effectively accounted for across all listing surfaces on Avito: in search, recommendations, on the map, in widgets, and so on.

We are looking for motivated colleagues who can strengthen our team in the role of a Middle DS Engineer and help us develop promotion in recommendations and in the personal listings widget in search.

Examples of future tasks:

• Roll out the algorithm for determining the position of the "Picked for You" widget in search;

• Investigate the candidate generator for related listings in the "Picked for You" widget in search;

• Select the share of paid listings on the homepage depending on the user using a converging algorithm.

You will:

• Scale and develop paid listing insertions in search;

• Improve the placement of paid listings in recommendations on the homepage.

We expect you to:

• Have at least three years of experience in work related to ML and algorithms;

• Be able to make data-driven decisions and clearly argue for your choices, explain complex things in simple terms, and negotiate with colleagues;

• Be ready to read scientific papers and find practical ideas in them;

• Know, be able, and love to apply mathematics, ML, and applied statistics to create algorithmic systems, seeing the connection between mathematical formulas and their impact on business;

• Have experience in ranking/recommendations or in monetization/pricing;

• Not be afraid to write production code;

• Have been involved in research work and love investigations;

• Have achievements in programming, mathematics, physics, or ML competitions.

Working with us means:

• An opportunity to improve the experience of millions of users;

• Interesting and challenging tasks at a large scale;

• A strong team that is always ready to help;

• An opportunity to study and try new things, with powerful hardware for this;

• A training budget that can be spent on courses or professional literature;

• Health care: from day one, you will have VHI including dentistry, with a therapist and massage therapist available in the office;

• The possibility to work remotely or from offices in four Russian cities.