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Аналитик данных

Wildberries • Russian: C1 • E-commerce Platforms • Marketplaces • Python • SQL • 5 days ago

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Salary

≈ $39k – $71k per year (Estimated)

Location

Remote (likely EAEU)

Seniority

Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 13, 2026. Wildberries scores C on the Alion truth index.

Overview

Company

Impact

Profile match

Wildberries

Wildberries is Russia's largest e-commerce platform and online retailer, offering a vast array of consumer goods ranging from apparel and electronics to home essentials. The company focuses on facilitating digital trade for millions of third-party merchants while managing an extensive logistics network of fulfillment centers and local pickup points. Headquartered in Moscow, Russia, it expands commercial access and fast delivery services across multiple international markets.

wb.ru • HQ: Moscow, Russia • Marketplaces • E-commerce Platforms • 1001-5000 employees • Est. 2004

Tech stack of Wildberries

Full-stack ML/AI команда с продуктовым мышлением. Внедряем ML/AI в бизнес Финтех/Банка.

Мы в поиске сильного дата-аналитика, готового усилить направление B2B.

Вам предстоит:

Искать новые фичи и инсайты для усиления ML моделей и роста метрик продуктов;
Выстраивать мониторинг за стабильностью моделей и фичей;
Выставлять задачи на DWH на подключение новых источников, контролировать качество в роли заказчика;
Исследовать новые способы решения бизнес задачи с применением ML/Дата аналитики;
Принимать проактивное участие в расширении Feature Store по продавцам площадки;
Разрабатывать и расширять вектора поставляемых фич в кредитную стратегию и CRM;
Тестировать разработанные фичи и модели, принимать участие в формировании методологии тестирования/валидации моделей;
Ad-hoc аналитика.

Вы нам подходите, если:

Опыт в дата-аналитике/DS/ML от 3 лет;
Умение исследовать данные и находить в них практическую пользу;
Знание классического ML;
Опыт построения мониторинга работы моделей;
Владение SQL, Python, Airflow, Spark, Git;
Работа с S3/Hadoop, аналитическими БД ClickHouse/GreenPlum.

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