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10 дней назад

Principal Research Scientist - AI & Data Science

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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.

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