Data Scientist

Responsibilities

As a Marketing Data Scientist, you will leverage our advanced data infrastructure on the Google Cloud Platform (GCP) to generate actionable insights.

• You conduct detailed analyses of customer, marketing, and onsite data using SQL and Python to optimize the operational management of marketing campaigns.
• You will take end-to-end ownership of your analytical projects-from initial data analysis and preparation to model evaluation and the automated delivery of findings.
• Expand and optimize Data Science use cases, such as marketing mix modelling or bidding optimizations, using open source technologies.
• Develop and provide self-service BI solutions tailored specifically to marketing requirements and customer attributes.

Qualifications

• You have several years of professional experience in developing analytical models using machine learning algorithms to derive customer and marketing insights. You possess a broad interest in various modelling approaches, such as time-series analysis, NLP, or deep learning.
• You have excellent proficiency in at least one programming language, preferably Python, and are skilled in the practical application of statistical methods. Experience with GCP technologies like BigQuery and the Google AI Platform is a strong asset.
• Experience in onsite tracking, e.g., Google Analytics, as well as in online marketing and an understanding of digital marketing strategies and metrics.
• Experience with marketing automation tools and CRM systems.
• You are characterized by an agile and open mindset, a commitment to quality, flexibility, and a proactive, hands-on mentality.
• You enjoy collaborating with diverse teams and have a strong curiosity for new technologies and analytical methods, completing your profile.