Senior Data Scientist

Вакансия № 24469028 от компании Top Remote Talent на Электронной Службе Занятости Населения Москвы.

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☑ Основной блок:

Опыт работы: 3–6 лет.

Тип занятости: полная занятость.

График работы: удаленная работа.

Зарплата: от 4000 до 5000 USD.

Примерное место работы: Россия, Москва.

☑ Актуальность объявления:

Это объявление № 24469028 добавлено в базу данных: Пятница, 14 марта 2025 года.

Дата его обновления на этом интернет-ресурсе: Вторник, 18 марта 2025 года.

☑ Статистика предложения работы № 24469028:

Прочитано соискателями - 42 раз(а);
Отправлено откликов - 0 раз(а);

☑ Репутация компании "Top Remote Talent":

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☑ Подробности о вакантном месте:

The leading SaaS ABM Platform serving enterprise and mid-sized B2B companies is looking for a Senior Data Scientist.

Some of the key benefits of the company are their capability of targeted advertising on a global scale along with having one of the most user friendly account based advertising systems.

The company has 200+ employees world-wide and offer a flexible working environment with a competitive salary, ability to become an integral part of the product development team of a fast-growing company.

As a senior data scientist, you will be responsible for designing and implementing data pipelines related to the vast global B2B dataset. The data sources include for example bidstream / advertising data, client website data, marketing automation system data and CRM data.

In your role you need to bridge the gap between the raw data and the user experience. Development team is in charge of putting the data models and pipelines into production as well as for creating the user experience to support it, and your role is to enable extracting valuable insights out of the data. Of particular interest to us is developing machine learning-powered algorithms for extraction of intent data based on the browsing behaviour of the end user. NLP should be the key area of competence as the majority of the dataset is text-based, but also reinforcement learning competence will be considered a plus.

You need to be fluent in communication with the development team, having a basic understanding of data pipelines and their development, although you don’t need to fulfil the requirements of a Data Engineer - this is a role fulfilled by the development team.

Requirements:

At least 5 years of experience in data science;
Strong background in Machine Learning (Logistic Regression, Gradient Boosting Trees, etc.) and Statistics preferably in NLP;
3+ years of experience with SQL. Preferably: PostgreSQL, Clickhouse;
Experience with Docker;
Proficiency in Python is a must (sklearn, pandas, etc.);
Visualisation tools: matplotlib, seaborn, plotly, etc.;
Experience of leading a DS project;
Good English communication skills.

Conditions: