We are looking for a highly skilled and experienced Data Scientist to join our team. The ideal candidate must have a proven track record in working with big data, building high-load recommendation systems.
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.
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.
What do we offer?
For your professional growth
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)
For your convenience
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
AUTODOC discount program