Актуальные заказы по Data Science

Руководитель проекта RnD в направлении Data Science

Офис
Full-time

О проекте

Создание инструмента на основе ИИ, который позволит ускорить и повысить качество обработки больших объемов информации в сфере геологии и Data science.


Идеальный кандидат имеет обширный опыт управления проектами RnD, заинтересован в развитии абсолютного нового продукта на рынке в данной сфере. Имеет знания в области Data science/AI/ML и хотел бы применить свои разработки в построении настоящего продукта. Имеет навыки создания процесса разработки продукта и команд с нуля. Это человек, который умеет объединять и распределять работу разработчиков и ответственных специалистов. Умеет налаживать контакт с ТОП-менеджерами. И готов стать CEO продукта в будущем.


Основные требования

Обязателен опыт управления RnD проектами.

⁃ Коммуникационные способности на высоком уровне.

⁃ Умение находить общий язык со специалистами разных областей и уровня должности.

⁃ Высокие организаторские способности.

⁃ Умение разбираться в новых вещах. 

⁃ Умение видеть и понимать как монетизировать продукт, аналитические способности.

⁃ Сильные знания и опыт написания роадмап проектов.

⁃ Опыт ведения проектов в горной области.

Понимание DS, ИИ, Нейросетей и т.д.

⁃ Будет большим плюсом знание индустриальной сферы и опыт.


Условия

⁃ Работа из комфортабельного офиса в Москве.

⁃ Высокая заработная плата.

⁃ График работы - фул-тайм.

Infrastructure Engineer

Офис
Full-time

Company

The fintech company stablished in 1997, which has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. The company is, also, the Official Online Trading Partner of FC Bayern, bringing the exciting worlds of football and trading together. And builds innovative fintech so people can #TradeForMore.


Job Overview

We are seeking a highly skilled Infrastructure Engineer with a strong emphasis on network administration to join our dynamic team in the vibrant city of Podgorica, Montenegro.

In this pivotal role, you will be responsible for ensuring the robustness and efficiency of our network systems. Candidates should possess outstanding problem-solving abilities and a deep understanding of network administration and architecture, encompassing essential areas such as IP routing, firewalling, and VPN configurations.

Additionally, familiarity with AWS cloud services is important, and proficiency in Linux operating systems would be considered a valuable asset. Your expertise will be instrumental in enhancing our infrastructure capabilities and supporting our organization's growth.


Main Responsibilities

  • Design and deploy functional networks (mostly AWS and some remote physical data-centers using LAN, WAN, VPN, and firewall technologies)
  • Monitor network performance and integrity
  • Resolve issues and troubleshoot cloud and local infrastructure using a service desk system
  • Write infrastructure code. We are using terraform with Terragrunt
  • Automate tasks and monitor their effectiveness
  • Create, oversee, and test security measures (e.g. access authentication/authorization, disaster recovery)
  • Communicate with internal users and Customer Service when needed
  • Compile and maintain thorough technical documentation
  • Suggest improvements to network performance, capacity, and scalability.


Requirements

  • 3+ years of network administration and architecture in geographically spread environments
  • 1+ years of cloud networking (preferably, AWS) with at least medium-sized networks. Experience with Terraform is a plus
  • Understanding of communication and dynamic routing protocols (including BGP)
  • Understanding of Linux administration and experience with command-line interface
  • Combined experience with detailed technical knowledge and hands-on practice working in networks and networks hardening
  • Proficiency in access control models and network security
  • Working knowledge of network diagnostic, monitoring, and analysis tools (e.g. Wireshark)
  • Experience with Service Desk systems (e.g. Jira Service Desk, ZenDesk, Solarwinds) and enterprise-class monitoring systems (e.g. Zabbix, DynaTrace)
  • Working knowledge of CDNs (e.g. Cloudflare), DNS, certificates, and domain management
  • Spoken English (company's official language) at B2 level (Upper-Intermediate), at least

Additional Skills and knowledge preferred

  • Experience with FreeBSD, Cisco, Checkpoint
  • Advanced experience with Linux
  • Solid knowledge of network operating systems (JUNOS, Cisco IOS)
  • Working knowledge and troubleshooting skills of scripting languages (e.g. bash, Python, Perl)
  • Professional certifications (e.g. BSD Specialist, Ubuntu Professional, CCNA)
  • BSc/BA in Computer Science, Computer Engineering, or a related field.


Company's benefits

  • Work in a pleasant and enjoyable environment near the Montenegrin sea or mountains
  • Quarterly bonuses based on Company performance
  • Generous relocation package for the employee and their immediate family/partner 
  • Medical Insurance Plan with coverage for the employee and their immediate family from day one
  • 24 working days of annual leave 
  • Yearly reimbursement of travel expenses for the employee and family's flight home
  • Corporate events and team building activities
  • Udemy Business unlimited membership & language training courses 
  • Professional and personal development opportunities in a fast-growing environment 

Data Scientist

Удаленно
Офис

Based in Australia an international university of technology, design and enterprise is in lookout of a strong Data Scientist with deep knowledge and experience in the field.


Requirements:

  • 5 years experience in data science projects.
  • Cloud Computing with AWS, GCP, or Azure.
  • Experience in MLOps - building and deployment of ML models, implementing best practices in CI/CD.
  • Expertise in Big Data Technologies.
  • Domain Expertise.
  • Ethics and Data Privacy - knowledge of data privacy frameworks).
  • Stack: Python, Apache Hadoop, Apache Spark, MongoDB, Tableau, Rapidminer (will be a plus).

Business Intelligence / Data Visualization Engineer

Офис
Full-time

Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.


About the company:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.


About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.


Job Description:

  • Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
  • Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
  • Closely partner with the Data Science team to define metrics, datasets, and automation strategy.


Key Qualifications:

  • 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
  • Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
  • Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.


Soft-skills:

  • Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Excellent communication, social, and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
  • Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
  • Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.

Data Scientist/Analyst

Удаленно
Full-time

В поиске сильного специалиста на позицию Data Scientist на долгосрочный проект крупной международной компании в сфере коммерческой и элитной жилой недвижимости. 


Задачи:

  • Анализировать и обрабатывать данные. Выявлять аномалии, зависимости, тренды и т.д.;
  • Собирать и актуализировать аналитические дашборды (Power BI, DataLens), визуализировать данные и метрики;
  • Формализовать бизнес-задачи и формировать гипотезы для проведения исследований;
  • Описывать требования по изменению и оптимизации хранения данных;
  • Подбирать и оптимизировать модели машинного обучения для решения бизнес-задач;
  • Презентовать результаты своей работы и исследований.


Мы ожидаем от тебя:

  • занимался аналитикой и Data Science более 3-х лет;
  • работал в команде, коммуникабелный и стрессоустойчивый;
  • хочешь глубоко разбираться в данных и учиться новому;
  • работал с задачами от бизнес-заказчика.


Умения и навыки:

  • уверенно пишешь на Python и SQL;
  • имеешь хорошие навыки работы с таблицами (excel, google);
  • умеешь применять ML в прикладных бизнес-задачах;
  • умеешь выдвигать аналитические и продуктовые гипотезы, знаешь как правильно организовать и провести эксперимент, и интерпретировать результаты;
  • знаешь статистику;
  • есть опыт работы с нейросетью, генеративными моделями машинного обучения.