Pracuj.plsharing the costs of sports activities
Pracodawca zakończył zbieranie zgłoszeń na tę ofertę
Aktualne oferty pracodawcyPracodawca zakończył zbieranie zgłoszeń na tę ofertę
Aktualne oferty pracodawcyData Scientist
Ringier Axel Springer Polska Sp. z o.o.
Kuyavia-Pomerania
Kuyavia-Pomerania- 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
Technologies we use
Expected
Python
Machine Learning
Optional
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
Optional
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
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.