Data Scientist

Summary

Join Evolution as a Data Scientist to help with Machine Learning tasks and statistical analysis in a dynamic and creative work environment.

Requirements

• University degree in numerical field (Machine Learning, Statistics, Mathematics, Computer Science, Physics, Engineering, etc.)
• Proven track record and excellent ability to understand, interpret and explain business data
• At least 3 years of work experience in the Data Science field
• Experience and understanding of linear algebra and statistical modelling
• Experience with deploying ML solutions to production
• In-depth knowledge in at least one ML field such as regression, classification, clustering, pattern mining or optimization
• Experience with at least one ML framework such as Scikit-Learn, Keras, Tensorflow, Pytorch, MLLib
• Hands-on with Python, in particular packages such as Pandas, Numpy, Matplotlib (or equivalent)
• Experience with SQL and Big data tools such as Spark/Hive
• Highly proficient in spoken and written English
• Excellent communication skills and a pragmatic approach to problem solving
• Willingness to learn and interest in latest trends in programming and ML

Responsibilities

• Work with business and technical stakeholders to choose the most appropriate Machine Learning solutions
• Design and develop ML models for use-cases like: recommender systems, fraud detection, chat text analysis
• Work with data engineers to select appropriate datasets and data representation methods
• Work with game developers to make sure that the necessary data are available
• Research and implement appropriate ML algorithms and tools
• Devise metrics and evaluation processes for the performance and impact of your models
• Train, test and retrain ML models
• Work with other team members to deploy ML models to production
• Use and, where necessary, extend existing ML libraries and frameworks

Benefits

• Social package, including sport compensation & medical insurance
• English classes
• Professional growth
• Sport activities, parties, team buildings