Data Scientist
September 16
Description
• Looking for a highly skilled and experienced Data Scientist to join our team • Develop a high-load realtime (or semi realtime) recommendation system to rank 3M+ products to 6M+ customers • Analyze and interpret complex data of users behavior to provide insights and improve recommendations • Develop and maintain algorithms for recommendation systems • Design and implement system architecture for data management, processing, and analysis. • Collaborate with cross-functional teams to implement solutions. • Stay up-to-date with the latest trends and techniques in data science and machine learning.
Requirements
• 3+ years of experience in data science, with a focus on developing recommendation systems • Strong programming skills in Python • Proficiency in SQL • Experience with workflow tools such as Airflow • Experience with big data technologies such as Hadoop, Spark, or Hive • Strong understanding of machine learning / deep learning algorithms and data structures • Excellent communication and collaboration skills • Nice to have: Experience with Google Cloud Platform (GCP) technologies • Familiarity with distributed column-store database management systems such as ClickHouse • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Benefits
• Only innovative projects and advanced technologies • Complete freedom for bright ideas and bold decisions • Work in the international team of professionals willing to share their experience • Ability to switch to another project that is interesting for you • Professional growth: free external and internal professional training courses and certifications • Paid business trips and payment for participation in conferences • Paid corporate language classes (English, German, Polish) • Work on your terms — you can work remotely and choose a flexible schedule • 28 paid vacation days, 1 day off, national holidays, and unlimited sick leave • Friendly team buildings, cool corporate events with • Corporate wellness activities with colleagues • Corporate gifts on the first working day, birthday, anniversary of work, birth of a child
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