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2 часа назад

Data Scientist (ResTech)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Data Scientist (ResTech): Developing and validating statistical and machine learning models for media measurement and data solutions with an accent on large-scale data analysis and model accuracy. Focus on building robust methodologies, performing data manipulation, and communicating actionable insights to cross-functional teams.

Location: Must be based in the United Kingdom

Company

hirify.global is a global pioneer in research technology (ResTech) that operates a programmatic marketplace connecting businesses with millions of respondents worldwide to gather consumer insights.

What you will do

  • Contribute to the discovery and development phases for new and existing media measurement products.
  • Participate in the full lifecycle of model development, validation, and maintenance.
  • Analyze large datasets to identify trends and patterns while ensuring data quality.
  • Respond to ad hoc client requests through data manipulation and summary reporting.
  • Collaborate with cross-functional teams to deliver on project goals.
  • Communicate complex insights through effective visualizations and presentations.

Requirements

  • Master’s degree in Statistics, Data Science, or a related quantitative field.
  • Must be based in the United Kingdom.
  • 2+ years of experience in a data science or analytics capacity.
  • Proficiency in Python for statistical analysis and machine learning implementation.
  • Strong analytical skills with experience in model validation and statistical techniques.
  • Ability to work independently while contributing to broader project goals.

Nice to have

  • Experience in media measurement, digital attribution, or online survey methodologies.
  • Ability to write and optimize SQL queries.
  • Experience with big data technologies like Spark.
  • Experience in multivariate testing.

Culture & Benefits

  • Recognized as one of Newsweek’s 2025 Global Top 100 Most Loved Workplaces.
  • Strong commitment to diversity, equity, and inclusion.
  • Collaborative, innovation-driven environment with a focus on accountability and transparency.
  • Global platform with opportunities to work across borders.

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