Data Scientist for recommendation engines

Warsaw or Remote
Undetermined
10 000 - 14 000 + VAT

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

Interested in any of the offer? Send a job application by using application form