Data Scientist (all genders)

Das ist der Job

Education: Your development is important to us.

Darum lohnt es sich

In this role, you’ll be part of a multidisciplinary team bridging data science, strategy, and automation and contribute to exciting projects at the forefront of digital transformation, working on innovative consumer insights initiatives and personalization measures for globally recognized brands.

Develop and implement machine learning models and algorithms Conduct data analysis to identify patterns, trends and insights Participate in projects related to data and processing for AI Agents Work closely with internal and client stakeholders to formulate data-driven solutions Validate models and interpret results by performing statistical analysis and hypotheses Stay updated with the latest developments and best practices in data analytics and data science Ensure maintenance of data science model and process documentation Apply machine learning and automation to scale analyses and accelerate insights Create advanced analytical models that demonstrate how marketing contributes to business growth—from media effectiveness to customer lifetime value Work in a multidisciplinary team across data science, strategy, and automation to advance data-driven marketing measurement and optimization A completed degree in a quantitative, analytical, or business-related field (e.g.

Location: Our modern office in Munich’s creative district is easy to reach thanks to its convenient location. Internationality: As an internationally operating agency group, we offer you the opportunity to network and exchange ideas with colleagues from different disciplines all over the world.

We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) in Munich at the earliest possible start date in full-time.

Data Science, Statistics, Mathematics, Computer Science, Business Informatics) or a comparable qualification Several years of experience as a Data Scientist or Marketing Analyst, ideally with a strong focus on statistical modeling and marketing analytics, preferably in an agency or dynamic environment Excellent Python skills and experience with relevant libraries Excellent knowledge in handling data queries and confidence handling different data types (SQL, Redshift, PostgreSQL) Experience applying machine learning and automation to accelerate analytical workflows Familiarity with cloud environments such as GCP, AWS, or Azure, as well as visualization tools like Quicksight, Tableau, Power BI, or Looker Ability to translate complex statistical findings into clear, strategic insights Experience with Digital Analytics platforms or Marketing campaign data Excellent communication skills in English and German Curiosity, initiative, and a collaborative mindset Knowledge of information security and awareness of information security principles Onboarding: Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.

Whether through our internal campus training program, voluntary language courses or regular coaching - we keep you up to date! Flexibility : Flexible working hours, mobile office and job sharing models allow you to adapt your job to your life - and not the other way around. Fun: If you work, you also have to take a break.

Whether it's partying or working out - with us, you'll have plenty of opportunities thanks to regular after-work events and agency-sponsored fitness programs.