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Graduate Marketing Scientist (Marketing Measurement)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Graduate Marketing Scientist (Marketing Measurement): Designing and delivering incrementality tests and marketing mix modelling engagements for ecommerce brands with an accent on causal measurement, statistical validation, and client data diagnostics. Focus on assembling reliable datasets, investigating model-trust discrepancies in SQL, interpreting experimental and MMM results, and explaining methodology to clients.

Location: London, United Kingdom

Company

hirify.global provides marketing measurement software for enterprise retail and ecommerce brands, covering attribution, marketing mix modelling, incrementality testing, and brand impact measurement.

What you will do

  • Assemble and validate geo-level test data and MMM model inputs.
  • Support market matching, control selection, power checks, test analysis, and model diagnostics under supervision.
  • Investigate client data discrepancies and model trust queries using SQL.
  • Compare MMM, incrementality, and platform-reported results, identifying the reasons for differences.
  • Run templated client explainer sessions and draft documentation and presentations.
  • Log incidents, identify recurring failure patterns, and contribute to automated trust workflows.

Requirements

  • Strong foundation in mathematics, statistics, hypothesis testing, uncertainty, and statistical power.
  • Working proficiency in SQL.
  • Python skills or the ability to learn Python quickly.
  • Some exposure to experimental design, including randomisation, control groups, and confounding.
  • Clear written communication, attention to detail, composure in client-facing conversations, and high agency.
  • Ability to use and quality-assure AI tools when solving unfamiliar problems.

Nice to have

  • Exposure to marketing, ecommerce, or advertising data.
  • Familiarity with Bayesian methods or modelling.
  • Experience with cloud data tooling.
  • Experience presenting to or supporting external stakeholders.

Culture & Benefits

  • Hands-on live client work from the first months, with structured review and supervision.
  • Protected development time and funded upskilling.
  • A published progression framework from Graduate to Junior and Mid levels.
  • Detailed instruction, maintained escalation processes, and deliberate allocation of advanced technical work.

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