Uplift and Causal ML Data Scientist

February 6

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Logo of AUTODOC

AUTODOC

AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.

e-commerce • online retail • automotive spare parts e-commerce • internet • online

5001 - 10000 employees

Founded 2008

🛍️ eCommerce

🚗 Transport

👥 B2C

📋 Description

• 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

🏖️ Benefits

• 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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