Data Scientist

September 16

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AUTODOC

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

5001 - 10000

Description

• We are looking for a skilled Data Scientist to join our Recommendation System team. • The ideal candidate will be responsible for designing, implementing, and maintaining ML & DL models to improve recommendation algorithms. • Develop and implement machine learning models to create product recommendations. • Analyze large datasets to identify patterns and insights in user behavior. • Collaborate with engineering teams to integrate ML models into the production environment. • Continuously evaluate and improve the performance of existing ranking algorithms. • Conduct A/B tests to measure the impact of changes. • Research the latest developments in machine learning and search technologies.

Requirements

• Over 3 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. • Over 3 years of experience in Data Science, with experience in developing recommendation systems or NLP • Experience working with Big Data technologies. • Strong Python, ML/DL skills. • Strong foundation in statistical analysis and its applications in machine learning. • Proficiency in SQL (OLAP and OLTP) • English B2

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