13 дней назад
Data Scientist - Marketing Science (Marketing Mix Modelling)
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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