At a Glance
- Tasks: Analyse massive datasets, identify anomalies, and develop classification methods for network traffic.
- Company: Servicepipe, a leading developer of DDoS protection solutions since 2015.
- Benefits: Flexible work options, modern office, health insurance, and professional development support.
- Other info: Engaging corporate culture with events, meetups, and interest clubs.
- Why this job: Join a dynamic team tackling real-world cyber threats with cutting-edge technology.
- Qualifications: Strong research skills, SQL proficiency, and experience with Python and ML models.
The predicted salary is between 51750 - 63250 £ per year.
Brief description of the vacancy
В связи с активным ростом ищем инженера-аналитика данных с сильными исследовательскими навыками и практическим опытом применения машинного обучения.
Основная задача - классификация сетевого трафика во многих терабайтах логов крупнейших онлайн-сервисов. Ожидаем, что специалист способен самостоятельно исследовать и визуализировать данные, искать закономерности, выявлять аномалии, работать со статистическими и ML-моделями.
About The Company
Company Servicepipe
Servicepipe - разработчик решений для анализа и фильтрации нежелательного трафика.
С 2015 года мы создаём продукты высокоточной защиты от DDo S-атак и фуллстек-ботов. Наши решения помогают компаниям предотвращать автоматизированные кибератаки как на сетевом уровне, так и на уровне веб-приложений.
Responsibilities
- Исследование трафика крупных интернет-сервисов, выявление аномалий, формулирование и проверка гипотез;
- Разработка правил, критериев и методов классификации сетевого трафика;
- Разработка инструментов эффективного исследования и мониторинга сетевого трафика.
Requirements
- Опыт самостоятельного проведения исследований;
- Уверенный SQL (подзапросы, агрегации, оконные и лямбда-функции на уровне навыка, оптимизация запросов). Используем Click House;
- Python для анализа, обработки и визуализации данных;
- Практический опыт обучения и оценки качества ML-моделей;
- Базовые знания математической статистики;
- Базовые навыки работы с Git, Linux и Bash.
- Будет плюсом
- Знание HTTP-протокола;
- Практический опыт создания дашбордов Grafana;
- Опыт написания парсеров и/или борьбы с ними;
- Опыт самостоятельного построения полного ML-пайплайна;
- Опыт применения LLM, разработки RAG и AI-агентов.
- Working conditions
- Работа в аккредитованной IT-компании;
- IT ипотека;
- Современный офис в центре Москвы;
- Свобода в выборе формата работы: гибридный, из офиса;
- ДМС со стоматологием по итогу прохождения испытательного срока;
- Частичная компенсация расходов на фитнес и сервис психологических консультаций Alter;
- Оплата профессиональных курсов и конференций;
- Насыщенная корпоративная жизнь: корпоративы, митапы и клубы по интересам.
- Contacts
- Полина Федорченко
Data Analyst / Data Scientist / Аналитик данных in Moscow employer: ODS Serbia
QST Financial is an exceptional employer for Quantitative Researchers, offering a dynamic work environment in Limassol or a hybrid model in Moscow. With a strong focus on employee growth and a collaborative culture, the company supports research from hypothesis to real trading, providing access to advanced technology like FPGA and GPU clusters. Employees benefit from competitive compensation, including bonuses and profit sharing, while being part of a tight-knit team with extensive experience in the field.
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We think this is how you could land Data Analyst / Data Scientist / Аналитик данных in Moscow
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We think you need these skills to ace Data Analyst / Data Scientist / Аналитик данных in Moscow
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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