Please note that we work in hybrid model, 3 days in the office and 2 days remotely.

We are searching for a passionate Data Scientist to help with our Machine Learning tasks and statistical analysis.

Main Duties & 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.

Qualifications

• 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.

Nice to Have:

• Knowledge of Scala or Java;

• Experience with AWS or other cloud provider;

• Experience with Kafka, Clickhouse, Postgres, Kubernetes, Docker.

Additional Information

• Working for one of the top gambling companies in the world

• Opportunity to influence the quality of the products, improve process and implement your ideas

• Social package, including sport compensation & medical insurance

• Professional growth

• Free parking space (hybrid type of work- 3 days from the office, 2 days from home)

• Sport activities, parties, and team buildings 
  

At Evolution, we have implemented Whistleblower Protection Policy and provide secure and confidential channels for reporting legal or ethical concerns, available to anyone with a direct or indirect work relationship with the Company, including current and former Employees, Candidates, Shareholders, Contractors, Service Providers, Trainees, Entrepreneurs, and their proxies. To submit a report, please contact us via our dedicated whistleblowing channel at [email protected]