Hybrid Digital Marketing Data Scientist Digital Marketing Data Scientist with verification

We are seeking a Data Scientist to enhance the effectiveness of our sales chain by revamping our current last-touch tracking system. In this role, you will develop a sophisticated approach to evaluate customer purchases and channel performance, factoring in long-term customer profitability and the total cost of acquisition. Your contributions will be vital in improving decision-making transparency and enabling precise budget planning for advertising. Ultimately, you will help redefine our understanding of customer lifetime value and channel impact, driving significant business growth and efficiency.

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example, CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor or higher degree in Applied Mathematics, Statistics, Computer Science, Economics, or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Fast growing international company with stable employment
• Annual vacation and 1 additional day off on your birthday
• Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes - Flexible working hours and hybrid work

Join us today and let’s create a success story together!