Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Data Scientist

middleremoteUAСкор 71/1002д назад
Аналитика рынка
📊 AI / ML / DS: зарплаты и спрос на рынке
Стек
awsnumpypandaspythonsql
Показать компанию и ссылку
Бесплатно. Вход по почте.
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
We are looking for a Data Scientist to join our client — an international technology company in the AdTech industry, headquartered in New York with offices around the world. The company develops software for digital advertising analytics and verification: its platform evaluates the quality of every ad impression — preventing ad fraud, ensuring brand safety and suitability, and verifying viewability and geo-targeting. Its clients include some of the world's largest brands, such as Vodafone and Mondelez. The Data Scientist will take ownership of improving existing models, building statistically robust solutions, and translating business challenges into mathematical problems that are integrated into the platform. Responsibilities Enhance, fine-tune, and continuously improve existing modeling solutions, including customizing open-source libraries to meet project requirements; Perform exploratory data analysis and feature engineering to build statistically robust, interpretable models that reflect domain knowledge; Keep up with emerging methods and best practices in causal inference and experimental design; Translate complex business challenges into well-defined mathematical problems and communicate findings as clear insights and actionable recommendations to external stakeholders; Participate in code reviews and provide feedback on model architecture, system design, and technical implementation; Collaborate with product and engineering teams to integrate data science solutions i
Полное описание, компания и ссылка на вакансию — после входа. Войти
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs