.AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe.
Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue.
Catch the ride!ResponsibilitiesDevelop 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.RequirementsOver 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 haveKnowledge 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 experienceAnnual vacation of 25 working days and 1 additional day off on your birthdayMeals AllowanceHealthcare InsuranceMental 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