Data Scientist, Marketing Analytics 📊 - Hybrid (Berlin, Germany)
About AUTODOC AUTODOC is a technology company and a leading e-commerce platform for car parts and accessories in Europe. Founded in 2008 in Berlin, we're a team of 5,000 people from 68 different countries, all working together to make mobility easier and more sustainable. We use technology to serve customers in 27 European countries and 23 languages! We're a growing company with over €1 billion in revenue.
The Role We are looking for a talented Data Scientist to join our team in Berlin and help us optimize our marketing campaigns.
What You'll Do
- Develop statistical and machine learning models to assess and optimize marketing campaign effectiveness.
- Analyze and interpret data to spot ways to improve marketing strategies.
- Use uplift modeling methods to target specific customer groups and maximize return on investment (ROI).
- Collaborate with the marketing and sales teams to understand business goals and translate them into analytical tasks.
- Create and present reports on analysis results and suggest ways to enhance marketing strategies.
- Evaluate and constantly improve analytical and modeling methods based on the latest Data Science trends.
- Help develop and implement systems and tools to automate analytical processes.
What We're Looking For
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Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
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Strong knowledge and hands-on experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis (e.g., CausalML).
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Understanding of A/B testing principles, including planning, running, and analyzing test results.
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Knowledge of SQL and experience with databases, including ClickHouse, for efficient data extraction and processing.
Bonus Points
- Experience with Apache Spark and Apache Airflow for handling large datasets and workflow automation.
- Experience with cloud platforms, especially Google Cloud Platform, for scaling and managing analytical solutions.
- Familiarity with CI/CD practices, experience with model versioning, and understanding of MLOps principles.
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Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, Economics, or a similar field.
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Excellent communication skills and the ability to effectively communicate with both technical experts and business stakeholders.
What We Offer
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Competitive salary based on your experience
- Be part of a fast-growing international company with stable employment
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Annual vacation and 1 extra day off on your birthday
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Mental Wellbeing Program: 24/7 hotline and online sessions with free psychological counseling for you and your family members
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Opportunities for growth: further training (over 650 soft and hard skills courses on our e-learning platform) and coaching
- Free English and German language classes
- Flexible working hours and hybrid work
Job Category: Data Analysis
Join our team and help us build a successful future!