Data Scientist (all genders)

Role Overview

THE MARCOM ENGINE, part of the Serviceplan Group, is hiring a Data Scientist in Munich to start as soon as possible on a full-time basis. You will join a cross-functional team that connects data science, strategy, and automation, contributing to digital transformation projects for well-known global brands. The role focuses on consumer insights, personalization, and data-driven marketing measurement.

What You Will Do

• Build and deploy machine learning models and related algorithms.
• Explore datasets to uncover trends, patterns, and actionable findings.
• Support initiatives involving data and processing for AI agents.
• Collaborate with internal teams and client contacts to develop practical, data-backed solutions.
• Test and validate models, then interpret outcomes through statistical techniques and hypothesis testing.
• Keep up with current methods and developments in data science and analytics.
• Maintain clear documentation for models, processes, and related work.
• Use automation and machine learning to speed up analysis and increase insight delivery.
• Design advanced analytical models that show how marketing drives business growth, including media effectiveness and customer lifetime value.
• Contribute in a multidisciplinary environment focused on improving measurement and optimization across marketing, strategy, and automation.

What We’re Looking For

• A completed degree in a quantitative, analytical, or business-focused discipline such as Data Science, Statistics, Mathematics, Computer Science, or Business Informatics, or an equivalent qualification.
• Multiple years of experience working as a Data Scientist or Marketing Analyst, ideally with a strong emphasis on statistical modeling and marketing analytics, preferably in an agency or fast-moving environment.
• Strong Python expertise, including familiarity with relevant libraries.
• Solid capability in writing and working with queries and comfort handling different data formats and systems such as SQL, Redshift, and PostgreSQL.
• Practical experience using machine learning and automation to streamline analytical tasks.
• Exposure to cloud platforms such as GCP, AWS, or Azure, plus dashboarding and visualization tools like Quicksight, Tableau, Power BI, or Looker.
• Ability to turn complex statistical results into clear, strategic recommendations.
• Experience with digital analytics tools or marketing campaign datasets.
• Very good communication skills in both English and German.
• A curious, proactive, and cooperative working style.
• Awareness of information security principles and related best practices.

What We Offer

• A structured onboarding experience, including a welcome session, digital onboarding day, newcomer coffee, and a newcomer introduction round.
• Access to learning and development through internal campus training, optional language courses, and regular coaching.
• Flexible work arrangements, including adaptable working hours, mobile office options, and job-sharing models.
• A lively workplace culture with after-work events and company-supported fitness programs.
• A modern office located in Munich’s creative district with convenient access.
• An international environment with opportunities to connect and exchange ideas across disciplines and locations worldwide.

Additional Information

This is a full-time, onsite position based in Munich, Bavaria, Germany. The role is available at the earliest possible start date.