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Senior Data Scientist
Python

Senior Data Scientist

Warszawa
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Office

Tech stack

    Java

    master

    Python

    master

    SQL

    advanced

Job description

Online interview
At GGPredict we are looking for a sports statistics and analysis enthusiast who is also an experienced data scientist. 

Our technology is based on the biggest CS:GO database ever made, combined with Machine Learning and AI.

Just like in traditional sports - our goal is to create a system where every aspiring, amateur player has a chance to train with help from an experienced coach in the most efficient possible way. Your work will have a direct impact on how our user will perform. You can help thousands of players perform and train efficiently, sounds cool, right?

We are looking for a self-driven and experienced person who will lead our data projects projects and develop our machine learning competences. 

Responsibilities (include but are not limited to):
  • Working with big datasets of esports data
  • Building AI/ML models that will make our coaching app even better
  • Conducting statistical analysis and research of esports players, teams and training methods
  • Developing high performance and scalable data infrastructure
  • Helping other team members develop
  • Being actively involved in development activities to help identify and research opportunities on new/existing projects

Qualifications:
  • Relevant education
  • At least 4 years of experience in data science
  • Great understanding of statistics
  • Strong knowledge of Python
  • Strong knowledge of Java
  • Knowledge of SQL
  • Experience in neural networks

Nice to haves:
  • Knowledge of the esports industry
  • Experience in sports statistics
  • Knowledge of reinforcement learning methods 

Benefits:
  • B2B contract - 13-18k net PLN
  • Private healthcare 
  • Multisport card
  • Flexible hours
  • Paid holidays
  • Hybrid work model / cosy, startup office at Powiśle, Warsaw
  • Possibility to participate in stock option program
  • Social events with the team like evening dinners or LAN-parties
  • Possibility to self-develop in courses, masterclasses and events (covered by the company)
  • Young and ambitious team that wants to conquer the world