Oferta pracy

Data Scientist

Ringier Axel Springer Polska Sp. z o.o.

  • offer expired a month ago
  • contract of employment, B2B contract
  • full-time
  • specialist (Mid / Regular), senior specialist (Senior)
  • home office work, hybrid work
  • Immediate employment
  • remote recruitment
  • запрошуємо працівників з України
Запрошуємо працівників з України
Роботодавець відкритий для працевлаштування громадян України

Ringier Axel Springer Polska Sp. z o.o.

aleja 29 Listopada 20

Stare Miasto


Technologies we use


  • Python

  • Machine Learning


  • AWS

  • Kubeflow

  • Airflow

Operating system

About the project

We are looking for a Data Scientist / Machine Learning Engineer eager to develop ML models to optimize the services of one of the largest media publishing groups in the world with millions of users and tens of thousands of events per second.

Your responsibilities

  • We are responsible for prototyping and developing large-scale machine learning solutions for applications such as recommendation systems, NLP, and ad targeting optimization

  • We monitor our models, conduct A/B tests, and analyze their results to continuously optimize their performance

  • We can develop our skills by participating in international conferences, taking courses on online educational platforms, and getting certificates

  • We share our knowledge during internal events and external conferences, and we teach ML courses at universities

  • We work in Scrum and collaborate with engineering teams to integrate and deploy our models on production

Our requirements

  • Good practical knowledge and experience with machine learning and advanced statistical techniques

  • Experience with Python machine learning and analytical stack (Anaconda, scikit-learn, TensorFlow, PySpark)

  • Strong programming skills, Clean Code practices


  • Familiarity with cloud computing tools on AWS (S3, EMR, Athena)

  • Knowledge of data processing tools (Airflow)

  • Experience with deploying ML pipelines in Kubeflow

This is how we organize our work

Team size

  • 6

This is how we work

  • in house
  • you have influence on the choice of tools and technologies
  • you have influence on the technological solutions applied
  • you have influence on the product
  • you focus on product development
  • agile
  • scrum

Team members

  • technical leader
  • data scientist

This is how we work on a project

  • Clean Code

  • code quality measures

  • code review

  • design patterns

  • static code analysis

  • TDD

  • architect / technical leader support

  • team-level deployment

  • active monitoring

  • documentation

  • issue tracking tools

  • technical debt management

  • test automation

  • testing environments

  • unit tests

Development opportunities we offer

  • conferences abroad

  • conferences in Poland

  • development budget

  • external training

  • intracompany training

  • space for experimenting

  • substantive support from technological leaders

  • technical knowledge exchange within the company

  • time for development of your ideas

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • flexible working time

  • fruits

  • integration events

  • no dress code

  • coffee / tea

  • leisure zone

  • employee referral program

  • no blame culture

Ringier Axel Springer Polska Sp. z o.o.

Ringier Axel Springer Tech is a technology hub of Ringier Axel Springer Media AG, a leading media&tech company in CEE, with a portfolio of 100 press titles and 70 online products. In three cities in Poland, 50 teams of over 300 IT professionals create multiple services, reaching 40 million people. Among our core products, you will find a comprehensive digital publishing platform – Ring Publishing, as well as leading media brands: Onet, Sympatia, Business Insider Polska, NOIZZ in Poland and Blic, Blikk or NOIZZ in the neighbouring countries. We empower free decisions, and we believe that the future of media is written in code.

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