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 and will be responsible for the development of a ranking service for search results on our e-commerce platform. • The ideal candidate will be responsible for designing, implementing, and maintaining ML & DL models to improve the relevance and personalization of search results. • Develop and implement machine learning models to rank search results based on user behavior and preferences. • Analyze large datasets to identify patterns and insights related to user interactions and search effectiveness. • 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 experience in developing recommendation systems or NLP • Strong Python, ML/DL skills. • Excellence in statics. • Experience working with Big Data. • Proficiency in SQL (OLAP and OLTP) • English B2 • Experience with designing real-time high-load ML systems. • Experience with ElasticSearch • Experience in an e-commerce environment with direct exposure to search engine algorithms and personalization. • 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 Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. • Strong communication skills and ability to work collaboratively with technical and non-technical 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