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13 дней назад

Data Scientist - Marketing Science (Marketing Mix Modelling)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Data Scientist - Marketing Science (Marketing Mix Modelling): Building data pipelines and analytical models to measure marketing effectiveness and guide investments across a global consumer products company with an accent on econometrics, forecasting, and large-scale data analysis. Focus on extracting and standardizing data, developing time-series and regression models, and scaling reusable solutions across markets and businesses.

Location: Amsterdam, Netherlands; hybrid with 2 days per week in the office

Company

hirify.global is a global consumer products company developing home appliances and brands that help turn houses into homes.

What you will do

  • Extract, combine, standardize, and prepare data from files, databases, and other systems.
  • Build ETL pipelines and perform data wrangling and engineering activities.
  • Develop time-series, linear regression, and other analytical models to measure marketing effectiveness.
  • Support data analysts and data scientists with ad hoc analyses and presentations.
  • Collaborate with data scientists to turn prototypes into reusable solutions and scale them across markets and business areas.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Statistics, Applied Mathematics, Engineering, Computer Science, Economics, or another quantitative field, with an interest in Marketing.
  • Must remain registered as a student throughout the full 6-month internship.
  • Experience working with data from files, databases, or other systems.
  • Experience with Python and ETL-related data wrangling or engineering.
  • Working knowledge of Microsoft Excel, including pivot tables, lookups, and INDEX-MATCH.
  • Good written and verbal English communication skills; students from outside the EU must complete a NUFFIC agreement signed by the student and university.

Culture & Benefits

  • Six-month internship with thesis support negotiable.
  • Working schedule of 32–40 hours per week.
  • Opportunity to work with Data Scientists, Data Engineers, Marketing teams, and business stakeholders.
  • Hands-on exposure to marketing mix modelling, econometrics, forecasting, and strategic decision-making.

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