e-commerce • online retail • automotive spare parts e-commerce • internet • online
5001 - 10000
September 16
e-commerce • online retail • automotive spare parts e-commerce • internet • online
5001 - 10000
• 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
• 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
• 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
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