Senior Data Scientist

GOG.com

Warsaw or Remote, Poland

Use Python, SQL and Google BigQuery for data analysis, machine learning and backend APIs.

Be part of the process “farm-to-table”. Our team works on all components of the system from data preprocessing through model training to delivery.

Work on datasets ranging from thousands to billions of records.

Experiment with different approaches to solve a problem. While we follow industry standards, we like to try a thing or two that might be considered out of the box.

Responsibilities:

  • Participate in product discovery phase in order to propose solutions for recommendation systems that answer user & product needs
  • Design architecture and participate in decisions regarding technical stack taking into account business requirements, best practices and market trends
  • Design, implement, enhance and validate appropriate ML algorithms and tools
  • Write well designed, testable, efficient, clean code covered by unit tests by using the best software development practices
  • Build prototypes in the quest of iterating fast
  • Run tests and experiments to validate hypothesis and recommendations performance
  • Work on new projects, from conception to deployment in the production environment
  • Share your knowledge and support others in solving complex challenges
  • Keep abreast of latest developments in the field

Job Requirements:

  • Experience with building and fine-tuning recommendation models; gathering, structuring and analysing data
  • Understanding of data structures, data modelling and software architecture
  • Know-how in using Machine Learning algorithms on large datasets
  • Knowledge of programming language Python
  • Ability to propose, evaluate and implement several solutions for reaching business goals
  • 3+ years of experience delivering data platforms for a product led business
  • Expertise in handling a variety of database types
  • Understanding of SOLID principles and common design patterns
  • Open mind in regards to technology, willingness to venture into new stacks
  • Motivation to thrive in an agile environment, collaborating with peers, Product Managers and other business representatives
  • Strong focus on customer perspective & experience
  • Ability to easily communicate in English

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