Data Scientist

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.

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.

Nice to Have:

• Knowledge of Scala or Java;
• Experience with AWS or other cloud provider;
• Experience with Kafka, Clickhouse, Postgres, Kubernetes, Docker.