Data Scientist – Digital Marketing

Responsibilities:

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify opportunities for improving marketing strategies.
• Apply uplift modeling methods to target specific customer groups and maximize ROI.
• Collaborate with marketing and sales teams to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results, including recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest Data Science trends.
• 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.
• Strong knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis (e.g., CausalML or similar).
• Understanding of A/B testing principles, including test planning, execution, and result analysis.
• Proficiency in SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to Have:

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

Additional Information:

• Competitive salary based on your professional experience.
• 22 working days of annual vacation plus 1 additional day off on your birthday.
• Meal allowance.
• Healthcare insurance.
• Mental Wellbeing Program – free and confidential mental and physical health support services for you and your immediate family members.
• Career growth opportunities.
• Free English and German language classes.
• Referral program with attractive incentives.
• Flexible working hours and hybrid work options.
• Fast-growing international company with stable employment.