Data Scientist - Digital Marketing

Company Description

Job Description

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's 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

• Annual vacation of 22 working days and 1 additional day off on your birthday

• Meals Allowance

• Healthcare Insurance

• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.

• AUTODOC Corporate Discount

• 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

• Referral Program with attractive incentives

• Flexible working hours and hybrid work

• Fast growing international company with stable employment

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