Senior Data Scientist

Corecom Consulting; Randstad; Hybrid; EUR 130,000 - 140,000; Full time

Benefits offered by this job

25 days paid leave

Pension

Sick/maternity cover

Expense coverage

Job summary

Corecom Consulting is seeking a Senior Data Scientist with Marketing Mix Modeling (MMM) and econometrics experience to build a new in‑house MMM capability for a global organisation. You will define the methodology, establish modeling standards and quality frameworks while collaborating with external modeling partners responsible for execution.

This is a hands‑on leadership role spanning 30+ markets, where you’ll evaluate models, govern analytics, and translate MMM outputs into actionable

Qualifications

• Strong Python or R skills.
• Experience with Bayesian MMM alongside classical regression approaches.
• Hands-on experience in Marketing Mix Modeling and/or econometrics.
• Knowledge of adstock, diminishing returns, saturation, base vs incremental contribution and ROI modeling.
• Statistics/econometrics experience, including regression, panel/regional data and model validation.
• Understanding of media channels and how they behave within MMM.
• Ability to critically assess and challenge third-party modeling approaches.
• Experience within retail / Ecommerce, FMCG or another complex multi-market environment.
• Experience governing external modeling partners or agencies.
• Experience working across Marketing, Finance and Data/Analytics teams.
• Experience establishing MMM methodology or standards from the ground up.

Responsibilities

• Define and develop MMM methodology, modeling frameworks and standards across multiple markets.
• Review, validate and challenge models produced by external partners.
• Lead deep-dive analysis across markets, regions, channels and campaigns.
• Assess model quality, assumptions and outputs using robust statistical validation.
• Support the wider marketing effectiveness and experimentation agenda.
• Develop documentation and knowledge frameworks to establish a sustainable internal MMM capability.
• Work closely with Marketing, Finance, Data and Analytics stakeholders.

Skills

Python

R

Bayesian MMM

Econometrics

MMM

Model validation

Multi-market

External partners

Stakeholder collaboration

Retail experience

Job description

We are looking for a Senior Data Scientist with Marketing Mix Modeling (MMM) / Econometrics experience to support a global organization building a new in-house MMM capability.

You will play a key role in defining the methodology, modeling standards and quality framework, while working alongside external modeling partners responsible for technical model execution.

The Opportunity:

This is not a maintenance role. You will help build the methodology and standards for a global MMM capability spanning 30+ markets, giving you significant influence over how marketing effectiveness is measured and governed.

Responsibilities:

• Define and develop MMM methodology, modeling frameworks and standards across multiple markets.
• Review, validate and challenge models produced by external partners.
• Lead deep-dive analysis across markets, regions, channels and campaigns.
• Assess model quality, assumptions and outputs using robust statistical validation.
• Support the wider marketing effectiveness and experimentation agenda.
• Develop documentation and knowledge frameworks to establish a sustainable internal MMM capability.
• Work closely with Marketing, Finance, Data and Analytics stakeholders.

Requirements:

• Strong Python or R skills.
• Experience with Bayesian MMM alongside classical regression approaches.
• Hands-on experience in Marketing Mix Modeling and/or econometrics.
• Knowledge of adstock, diminishing returns, saturation, base vs incremental contribution and ROI modeling.
• Statistics/econometrics experience, including regression, panel/regional data and model validation.
• Understanding of media channels and how they behave within MMM.
• Ability to critically assess and challenge third-party modeling approaches.
• Experience within retail / Ecommerce, FMCG or another complex multi-market environment.
• Experience governing external modeling partners or agencies.
• Experience working across Marketing, Finance and Data/Analytics teams.
• Experience establishing MMM methodology or standards from the ground up.

If you have strong MMM/econometrics experience and enjoy combining hands‑on data science with analytical governance, we'd like to hear from you.

Details:

• 12 month contract - (likely extend)
• Flexible remote working / hybrid x1 per week
• €95-100 per hour or €130-140k per year
• Inclusive of 25 days paid leave, pension, sick/maternity cover and expenses.
• This is an interim payroll/secondment assignment (No ZZP)