Data Scientist for recommendation engines

We develop a solution for recommendation systems for e-commerce. We are talented team of winners of 2019 RecSys challenge.

Must have:

• Recommendation systems expertise
• Advanced Python
• Knowledge of Rust, Scala will be an advantage
• Experience in building pipelines airflow or similar
• Ability to deliver results with minimal supervision;
• Self-reliance

Experience in all/any of the above is a plus, ability and willingness to learn them is a must.

Responsibilities:

• Develop, construct, test and maintain architectures.
• Align architecture with business requirements.
• Data acquisition.
• Develop data set processes.
• Identify ways to improve data reliability, efficiency and quality.

We offer:

• Attractive salary
• Interesting project
• Working with the best Data Scientists
• Focus on high quality of solutions
• Integration meetings
• Flat Company Structure

About our team:

• We cooperate with big and small companies so we know how to adjust our approach and product to client’s needs. (Our previous clients: Sephora, Dior, Alior Bank, Dubai Police etc.)
• We won several awards:
  • 1st place: Trivago RecSys 2019 (The most prominent competition for recommendation systems in the world)
  • 1st place: Mercari Price Suggestion Challenge (Japan’s biggest community-powered shopping app, out of 2382 teams)
  • 1st place: GovTech 2019 for Ministry of Health (Fraud detection in hospital settlements)
• We create tailor-made solutions – We start with a deep understanding of the client’s needs and then we proceed with project goals (we do not try to sell existing products).
• We are the creators of KaggleDays and we have access to a 4 mln community of experts and we cooperate with them on different projects.
• We build client;s competences so that they can develop the product themselves after the project