Senior Data Scientist for the Monetization Efficiency Team

Senior Data Scientist for the Monetization Efficiency Team

About the Team

The Monetization Efficiency unit has been developing and improving promotion product algorithms for all Avito verticals for several years. Six months ago, the Sales Impulse team was formed within it, and we are now looking for a strong Data Scientist to join it. The team develops algorithms that help sellers use monetization tools more effectively: choose suitable promotion parameters and understand the expected effect from various decisions.

We build models that predict promotion results (for example, the number of leads from purchasing a specific package) and are gradually developing recommendation approaches. They help understand which ads should be promoted first, which promotion products to choose, and with which bids or budgets. Additionally, the team participates in developing ML solutions for the pricing unit, implementing algorithms into pricing and discounts—first at the micro-category level, and prospectively, dynamically and taking into account the specific seller.

We primarily work with classic ML. Production is written in Go, we work with data via Spark in k8s. The team is young, there is almost no legacy, so there is a lot of freedom in choosing solutions and approaches.

We work as a cross-functional product team and develop in sprints.

Examples of future tasks:

• develop algorithms for recommending the most suitable promotion products for a seller, as well as their parameters;

• develop algorithms for pricing promotion products;

• develop algorithms for forecasting the effect of applying promotion mechanisms to ads;

• assess potential, select suitable offline/online evaluation metrics, and improve the quality of ML models used within the algorithms.

We expect you to:

• have at least five years of experience related to ML and algorithms;

• have experience with uplift modeling, in monetization, pricing, or related fields;

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

• be willing to read scientific articles and find ideas useful for practice within them;

• know, can, and love applying mathematics, ML, and applied statistics to create algorithmic systems, see the connection between mathematical formulas and their impact on business.

It will be great if you:

• are not afraid to write production code;

• have engaged in scientific work and love research;

• have achievements in programming, mathematics, or ML competitions;

• have experience in uplift modeling, pricing, or monetization.

Working with us means:

• the opportunity to influence the business and product development;

• interesting and diverse tasks: analysts at Avito look for business growth points, study user behavior, create frameworks, and set up dashboards;

• lots of high-quality data, powerful infrastructure and tools, any necessary hardware—everything is ready for productive work;

• a talented team, a great analytical culture, and a community of professionals;

• a transparent bonus system, a decent salary—the amount will be discussed at the interview;

• a personal training budget that can be spent on books, courses, and conferences;

• care for health: from day one you will have VHI including dentistry, a therapist and masseuse work in the office;

• remote work and a wonderful office two minutes from Belorusskaya metro station: a panoramic view of the city center, places for secluded work, and recreation areas.