Data Scientist, Marketing Mix Modeling (MMM)

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Are you driven by the challenge of designing and operationalizing statistically rigorous models that directly quantify business impact? Are you an expert in statistical inference and Bayesian methodologies, capable of moving beyond correlation to establish causality?

We are seeking a talented and experienced Data Scientist with a special focus on Marketing Mix Modeling (MMM) to join our growing team. [xxxxx] is a leading digital marketing agency and a certified Google Meridian partner. We're rapidly expanding our data science and cloud capabilities, particularly in Marketing Mix Modeling (MMM), to deliver cutting-edge solutions that drive marketing effectiveness for our clients.

Lead the marketing modeling transformation

You will play an instrumental role in developing and implementing advanced MMM solutions, directly helping our clients understand and optimize their marketing investments.

As a Data Scientist for MMM at [xxxxx], you will:

  • Design, build and implement scalable and efficient Marketing Mix Models for our clients, leveraging Google's Meridian and other relevant frameworks.
  • Collect, clean and process large, diverse datasets from various sources to prepare them as robust model inputs.
  • Collaborate closely with clients to understand their business objectives and data needs, and to present model results and recommendations in a clear and compelling way.
  • Run optimization and simulation scenarios to guide clients' marketing investment and allocation decisions.
  • Work tightly with our data engineering and business intelligence teams to ensure seamless data flow and integration.
  • Stay up-to-date with the latest advancements in MMM, marketing analytics, and data science, actively contributing to the continuous improvement of our MMM offering.


About the team


You will join a dynamic, fast-growing team of data scientists and engineers, reporting directly to the Group CTO. As a truly international team with diverse backgrounds, we embrace different perspectives and ways of thinking, always striving to deliver the best results for our clients.

The position is based in one of the [xxxxx] offices in Barcelona, London, Helsinki, Copenhagen, or Aarhus. No matter where you are located, you will be part of a close-knit, collaborative team that works together across markets every day to share knowledge and achieve the best results for our clients.

Technical expert with a passion for turning data into impact

You will likely describe yourself as someone with a growth mindset and a solid background in data science and marketing analytics. Ideally, you will also bring:

  • A Master's degree or PhD in a quantitative field such as Statistics, Economics, Mathematics, Engineering, or Computer Science.
  • 1+ years of hands-on experience in data science
  • Expert proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Strong experience with statistical modeling techniques, including regression analysis, time series analysis, and Bayesian modeling.
  • Experience with cloud platforms, preferably Google Cloud Platform (GCP).
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Strong project management skills and the ability to work independently in a fast-paced, agile environment.

Working at [xxxxx]

At [xxxxx], you will be part of one of Europe’s fastest-growing digital marketing agencies, working alongside more than 350 skilled colleagues across 11 offices in 8 countries. While our shared mission is to help brands and retailers grow, we are equally committed to fostering a strong culture, defined by collaboration, drive, and continuous development. We believe that our culture and ways of working are key to delivering long-term, meaningful results.

As a part of our team, you can look forward to:

  • Skilled colleagues:Collaborate with some of the brightest minds in the industry and be part of an ambitious team with deep expertise across all key digital disciplines.
  • Top-tier clients: Work with some of the biggest brands in the world on solving their most complex and interesting commercial problems.
  • Growth journey: Join one of the fastest-growing digital marketing agencies in Europe with the ambition of becoming the best in the world.
  • International environment: With 11 offices across 8 countries, you will have the opportunity to collaborate with people from diverse cultures around the world.
  • Career acceleration: Get individual career plans to influence your own professional path and contribute to shaping the company’s future.
  • Continuous development: A learning culture where people strive to become 1% better every day, supported by advanced training and knowledge sharing.


We’d love to hear from you!


Do you have any questions? Then don’t hesitate to apply or reach out to CTO, Hermanni Nurila at [email protected].

We review applications on an ongoing basis and hire as soon as the right candidate is found, so please send your CV and application as soon as possible. All inquiries are treated confidentially.

About [xxxxx]

[xxxxx] is a leading European digital marketing agency that helps brands and retailers grow by providing a strong tech foundation, best-in-class execution, and deep industry expertise. With a team of +300 digital specialists, [xxxxx] operates ten offices across seven countries: Denmark, Finland, Norway, Sweden, the United Kingdom, the Netherlands, and Spain. In recent years, [xxxxx] has been recognised with numerous national and European awards, making it one of Europe's most award-winning digital marketing agencies.


Information og data

Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".

Arbejdsstedet er beliggende i Hele Danmark

Jobbet er oprettet på vores service den 15.10.2025, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • 15.10.2025
  • Data Manager

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