Data Scientist (Marketing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Marketing): Helping clients measure the impact of marketing investments using measurement methods such as Marketing Mix Modeling (MMM) with an accent on transforming technical Python output into actionable insights for C-level stakeholders. Focus on attribution modeling, experiments, and the development of automated reporting tools.
Location: Stockholm, Sweden. Must have a valid work permit in Sweden. Hybrid setup (approx. 4 days/week in office).
Company
Data-driven marketing solutions provider part of WPP Media, collaborating with global brands like Amazon, Samsung, and Coca-Cola.
What you will do
- Lead client measurements of marketing investment impact using Marketing Mix Modeling (MMM).
- Translate technical Python model outputs into clear, actionable business insights.
- Present findings to C-level stakeholders at large companies in the Nordics.
- Work on projects involving attribution modeling, experiments, and algorithm development.
- Contribute to the development of automated reporting tools and other data science initiatives.
Requirements
- Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Economics, or a similar quantitative field.
- Programming experience in Python.
- Experience applying analytical methods such as time series analysis, statistics, MMM, or econometrics.
- Fluent in both English and Swedish.
- Valid work permit in Sweden.
- Proficiency in Excel and PowerPoint.
Nice to have
- Practical experience in data science or analytics consulting.
- Hands-on experience with Marketing Mix Modeling or Bayesian statistics.
- Experience with SQL, GIT, Cloud platforms, or Power BI.
Culture & Benefits
- 37.5-hour workweek with 30 days of vacation.
- SEK 3,000 wellness allowance.
- Collective bargaining agreement (kollektivavtal) covering occupational pension and insurance.
- Paid volunteer days and regular team activities.
- Hybrid work model with typical office presence around four days a week.
Hiring process
- CV and cover letter review.
- Interviews and a testing phase.
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