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Data Science Expert

2 semanas atrás

Lisboa, Lisboa, Portugal AUTODOC Tempo inteiro
Job Overview

AUTODOC is a leading technology company with a prominent e-commerce platform for vehicle parts and accessories in Europe. Our diverse team of 5,000 people from 68 nationalities collaborate to make mobility easy and sustainable by leveraging technology at the core of everything we do. We serve customers in 27 European countries across 23 languages.

Responsibilities
  1. Develop statistical models and machine learning algorithms to assess and optimize marketing campaign effectiveness.
  2. Analyze data to identify potential improvements in marketing strategies and provide actionable insights.
  3. Apply uplift modeling methods to target specific customer groups and maximize ROI.
  4. Collaborate with marketing and sales departments to translate business goals into analytical tasks and drive decision-making.
  5. Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
  6. Evaluate and continuously improve analytics methodologies in line with the latest trends in Data Science.
  7. Participate in developing systems and tools to automate analytical processes.

Requirements
  1. Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
  2. Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis.
  3. Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
  4. Knowledge of SQL and experience with databases for effective data extraction and processing.

Benefits
  1. Competitive salaries based on professional experience.
  2. Fast-growing international company with stable employment.
  3. Annual vacation and an additional day off on your birthday.
  4. Mental Wellbeing Program – access to free psychological counseling for you and your family members.
  5. Opportunities for advancement, further trainings, and coaching.
  6. Free English and German language classes.
  7. Flexible working hours and hybrid work setup.