Senior Data Scientist

Position: Senior Data Scientist **To where? **Avito, Item2param Work format: full remote or office, your choice Gross salary range: 363,000 - 524,000 gross + 15% bonus (conditions are discussed individually based on the results of technical interviews)

About us: We are developing a platform that automatically predicts over 2000 ad parameters at the time of submission (categories, attributes, brands). These parameters are critical for all Avito business areas: search, moderation, monetization, SEO. We ensure the most effective predictions under high load, as well as rapid adaptation of models to new scenarios.

What needs to be done? • Develop complex neural networks (text, image) from scratch using Pytorch - pretraining, finetuning, optimization • Implement neural networks into the service, set up monitoring, solve technical problems • Manage business processes to achieve results • Mentor junior colleagues

Requirements: • Excellent knowledge of Pytorch • Experience with large neural network models, organizing production processes • Results-oriented • Will be a plus: success in competitions/Kaggle

Answers to 10 important questions:

1. Data: Large historical data on ads (text, images), training on several types of annotations
2. Hardware: Cluster with H100 for dev and prod
3. **Scale of impact on core business? **The Item2param platform has Business Critical status and top priority support. Key business processes are linked to the attribute system - Search, Monetization, Moderation, SEO.
4. **Data Science development level in the company? **High. DS teams are divided into vertical (tied to business lines) and horizontal (develop tools for all DS teams).
5. Role of a Data Scientist: Focus not on specific ML tasks, but on platform improvements (e.g., pretrain a base checkpoint from scratch, expand library functionality for users, improve the data collection process for monitoring) with the goal of integrating functionality into the service. Support for production processes in collaboration with MLOps and Backend. As needed - support for platform users (DS, analysts, content managers).
6. **Background of your manager? **Kaggle Competition Master, Oleg Sidorhin
7. **How often will you be interrupted at work? **Daily, once a day for 20 minutes, organizational meetings as needed
8. Career growth: The manager supports active development in hard and soft skills: we create a development plan and follow it together. Performance reviews every six months
9. Prod/Research: 70% prod / 30% research. We actively develop SOTA approaches to tasks, however, with an emphasis on industrial implementation
10. Service or leadership function? 50% service / 50% leader. There is a significant demand for independent management of key business cases until production implementation, support in developing other colleagues and sharing expertise.

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