Data Scientist

We are hiring Data Scientist for Sweden.

Job Summary:

We are looking for an experienced Senior Data Scientist / Marketing Mix Modelling (MMM) Expert to join a newly established in-house MMM team. The organisation is transitioning from a fully outsourced Marketing Mix Modelling solution to an in-house capability, while continuing to work with a specialist external vendor for industrialised model development and technical execution.

Educational Qualification: Bachelor’s or Master’s degree Software Engineering, or a related field.

Key Responsibilities:

• Co-create the overall Marketing Mix Modelling programme design, model framework, and analytical deep dives.
• Define the analytical framework, variable structures, modelling choices, and methodological standards for MMM across multiple markets.
• Review and validate the vendor’s modelling methodology, assumptions, model choices, and outputs.
• Act as the internal subject-matter expert and quality gate for MMM deliverables.
• Lead analytical deep dives at country, regional, channel, and campaign level.
• Collaborate with the experimentation/test-and-learn team to ensure incrementality testing and MMM insights complement and inform each other.
• Build and maintain a structured MMM methodology library.
• Work closely with other MMM team members to ensure consistent methodologies and ways of working.
• Collaborate with Marketing, Finance, Business Steering, and experimentation teams.

Required Qualifications:

• 5+ years of hands-on experience building and validating Marketing Mix Models or econometric models in a commercial, agency, or comparable environment.
• Strong practical knowledge of: Adstock and carryover effects, Diminishing returns / saturation, Base vs. incremental decompositionm, Marketing ROI derivation.
• Advanced knowledge of applied statistics and econometrics, including: Regression-based modelling, Panel and/or regional data structures, Model diagnostics, Model validation, Holdout testing, Out-of-sample forecasting and validation.
• Strong proficiency in Python or R for production-grade modelling, analysis, and simulation.
• Familiarity with Bayesian Marketing Mix Modelling approaches as well as classical regression-based methodologies
• Strong understanding of media channels and how they behave within MMM, including: Short- and long-term effects, Adstock/carryover, Channel interactions and synergies, Saturation and diminishing returns

Strong plus: 

• Experience in retail, FMCG, or a comparably complex multi-market organisation.
• Demonstrated experience evaluating or challenging a third party’s modelling methodology (vendor, agency or academic partner) — you’ve been on the “receiving and questioning” side of someone else’s model, not only the “producing” side.
• Prior experience quality-governing an external modelling vendor’s deliverables.
• Experience bridging Marketing and Finance stakeholders on investment questions.

Soft Skills:

• Strong communication and collaboration skills.
• Strong analytical and problem-solving skills with excellent attention to detail.