Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
По международному рынку данных пока нет
На СНГ рынке: $4.7к/мес ($3.9к - $6к)
83
Хорошая вакансия
развернуть
Чётко описанная исследовательская роль в международной компании даёт возможность вести проекты от идеи до внедрения и работать с прикладным AI/ML, хотя широкий список требуемой экспертизы может означать высокую нагрузку.
Широкий набор требований
Современный стек
Полный цикл исследований
Поддержка обучения
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Research Scientist - AI & Data Science (AI/Data Science): Researching and deploying statistical, machine learning, and artificial intelligence methodologies to improve NIQ products and processes with an accent on rigorous experimentation, prototyping, and scientific documentation. Focus on designing end-to-end R&D projects, working with large-scale data and modern ML infrastructure, and solving challenging problems through hypothesis testing and advanced analytics.
Location: Hybrid, Bogota, Colombia
Company
hirify.global is a consumer intelligence company delivering consumer buying behavior insights through advanced analytics and data platforms across more than 100 markets.
What you will do
Research and develop new statistical, machine learning, and artificial intelligence methodologies, research directions, and prototype solutions.
Measure improvements using rigorous scientific methods and own R&D projects from conceptualization and design through prototyping, documentation, deployment, and monitoring.
Collaborate with operations, technology teams, data scientists, and internal stakeholders throughout project execution.
Produce academic publication-level documentation of methodologies and best practices.
Engage stakeholders on objectives, scope, execution, data exchange, and outcomes.
Contribute actively to multiple projects simultaneously.
Requirements
Ph.D. in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field, with at least 7 years of relevant experience.
Domain expertise in multiple areas including programming, software engineering, UI/UX, multivariate statistics, machine learning, deep learning, Agentic AI, trend and time-series analysis, and sampling theory.
Critical and innovative thinking, strong analytical skills, and experience with experimentation and hypothesis testing.
High proficiency in Python programming without AI assistance.
Experience working with large-scale databases and technologies such as SQL, Hadoop, and PySpark; statistical packages including Pandas, NumPy, and Scikit-Learn; and unit testing.
Experience with AzureML, DataBricks, and CI/CD best practices using Docker, Unix, and AKS.
Ability to work in a virtual environment and use GitHub processes, including pull requests and code conflict resolution.
Strong English communication, presentation, and collaboration skills, with a record of written materials and public presentations such as papers, conferences, patents, tutorials, or Substack publications.
Continuous learning mindset and willingness to experiment with and adopt new technologies and tools.
Culture & Benefits
Flexible working environment.
Volunteer time off.
LinkedIn Learning.
Employee Assistance Program.
Inclusive workplace focused on diversity, equity, and inclusion.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →