Data Scientist for the Monetization Efficiency Team

Monetization Team

Location Moscow, hybrid or remote work

In our work, we set ambitious goals and don't stop at what we've achieved. That's why it's so important for us that every member of the Avito team shares the company's culture. The Manifesto, which outlines our main guidelines — mission, values, principles of work — helps to immerse ourselves in it.

About the Team

The unit has been developing monetization products for all Avito verticals for several years. The DS Pricing stream appeared six months ago. The team improves the pricing of promotion products using ML algorithms: it estimates price elasticity of demand, identifies under- and over-monetized categories.

Currently, pricing operates offline. Over the course of the year, the team plans to transition to online inference. The entire production environment runs on Go, so it's important to be able to read code in this language. You won't need to write in Go in the near future.

The team recently developed a pipeline for offline evaluation of algorithm quality and calculation of expected impact. With its help, hypotheses can be tested before launching A/B tests. Tests last from 1 to 3 months depending on the product, as the team measures long-term effects.

Algorithms are based primarily on classic ML, as well as econometrics and time series analysis.

What tasks await you:

— implement ML algorithms in the pricing of promotion products in two main areas: differentiated and dynamic pricing; — conduct pricing tests together with the analytics team; — evaluate the potential of hypotheses and select suitable metrics for offline and online evaluation; — test hypotheses and improve the quality of ML models used in algorithms.

We expect you to:

— have at least 3 years of experience with ML and algorithms; — be able to make data-driven decisions, clearly argue them, explain complex things in simple terms, and negotiate with colleagues; — be ready to read scientific articles and find ideas applicable in practice; — know and be able to apply mathematics, ML, and applied statistics to create algorithmic systems; — see the connection between mathematical formulas and their impact on the business.

It would be great if you:

— have experience with pricing, uplift modeling, or in the monetization sphere; — have engaged in scientific work and are interested in research; — have participated and achieved results in programming, mathematics, or ML competitions.

Working with us means:

— the opportunity to influence the experience of millions of users and develop Avito's ML product; — a significant role with a large area of responsibility and the opportunity to define the development of the direction; — research and engineering tasks at a large scale; — a strong community: a team of experts with whom you can discuss ideas and approaches; — extended health care: VHI, life insurance, cancer insurance; — psychological support services, as well as financial, legal, and healthy lifestyle consultations for you and your loved ones; — corporate sports: group training, well-being app; — special offers from partners and discounts on Avito services: accommodation booking, promotion services, mortgage insurance; — meal compensation.