Senior Data Scientist: Global MMM & Marketing Analytics

RDT

Malmö kommun

On-site

SEK 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Remote-first / flexible working

Job summary

RDT Engineers Sweden AB is seeking an experienced Senior Data Scientist to lead Marketing Mix Modelling efforts at a global scale. The role focuses on building and validating econometric models, guiding methodologies, and translating results into business insights.

The ideal candidate has 5+ years in MMM/econometrics, with strong Python or R skills, and can challenge modelling assumptions. The position is remote-first with periodic onsite collaboration in Malmö, Sweden, and involves close work

Qualifications

  • 5+ years building and validating MMM/econometric models in commercial settings.
  • Strong knowledge of adstock, diminishing returns, saturation, ROI derivation.
  • Experience with holdout testing, out-of-sample validation and forecast evaluation.
  • Strong Python or R for production-grade modelling and simulation.

Responsibilities

  • Co-create the analytical and modelling approach for a global MMM programme.
  • Define modelling frameworks and variable structures across markets.
  • Build, validate and challenge Marketing Mix Models using advanced econometrics.
  • Evaluate modelling approaches including adstock and ROI derivation.
  • Review models and outputs from external modelling partners.
  • Lead deep-dive analyses across countries, channels and campaigns.
  • Develop and maintain methodology documentation and analytical standards.
  • Collaborate with senior stakeholders in Marketing, Finance, Analytics and Business teams.

Skills

Marketing Mix Modelling
econometrics
Python
R
Bayesian MMM
Communication

Job description

RDT Engineers Sweden AB is seeking an experienced Senior Data Scientist to lead Marketing Mix Modelling efforts at a global scale. The role focuses on building and validating econometric models, guiding methodologies, and translating results into business insights.

The ideal candidate has 5+ years in MMM/econometrics, with strong Python or R skills, and can challenge modelling assumptions. The position is remote-first with periodic onsite collaboration in Malmö, Sweden, and involves close work

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