Data Scientist (RnD)

Data Scientist (RnD)

Multiple locations
  • Georgia
  • Malta/Sliema
  • Poland/Poznan

Full-time

SOFTSWISS is a tech company focused on iGaming. We offer ultra-powerful, widely acclaimed, certified software solutions for managing online casino and betting operations worldwide. We also provide cost-effective White Label solutions and various operational services to our clients. SOFTSWISS is based in Belarus, where it counts 1400+ people, with official presence and gaming licenses in several more jurisdictions. Online casinos powered by SOFTSWISS’s platform have received numerous awards and accolades from the industry media. Among our products are Online Casino Platform, Game Aggregator, Sports Betting Platform, Affiliate Marketing Platform and various casino games under BGaming brand.

Responsibilities

  • Lead the design, analysis, and interpretation of data-oriented solutions to achieve business goals;
  • Proactively perform data exploration to understand user behaviour and identify opportunities for improving our  algorithms in the following areas: recommender systems, users live-time value prediction, fraud detection;
  • Deal with both structured and unstructured data, collaborate with data engineers on defining data storage formats, data collection requirements;
  • Set up reproducible experiments: selection, training, validation and optimisation of machine learning models, evaluation of their quality in business-related terms with split testing experiments;
  • Be a part of the go-to-production team – create machine learning models, apply them to our data and support them in the productions;

Requirements

  • Good Python programming skills;
  • Hands-on experience with Python data-related and ML-related libraries(pandas, numpy, sklearn and etc..);
  • Hands-on experience with Python deep learning libraries (Tensorflow, Keras, PyTorch);
  • Knowledge and understanding of classical machine learning (linear models, decision trees, ensembles for classification and regression tasks, clustering and dimensionality reduction);
  • Knowledge and understanding of main concepts and stages of the modelling process (validation scheme, regularization, overfitting and generalization, data leaks, feature selection, etc.);
  • Experience with relational databases and SQL, as well as with non-relational and NoSQL;
  • Deep statistical skills utilized in A/B testing, analyzing observational data, and modeling;
  • Ability to formulate data gathering requirements;
  • Data visualization and presentation skills;
  • Minimum 3-year experience in machine learning / data science;

Would Be a Plus

  • Ability to implement space and time-efficient algorithms and understand which one is preferable and when;
  • Familiarity with ClickHouse and MongoDB;
  • Experience with distributed analytic processing technologies (Spark);
  • Experience with Airflow;
  • Experience with Docker, Kubernetes.
  • Experience with AWS (SageMaker, S3, Lambda).

Work Conditions

  • Work in an international IT product company with offices in 4 countries
  • Remote full-time work or work from a comfortable office. It doesn’t matter where you work from, what matters is the result
  • Flexible schedule. It is enough to coordinate time zones and have intersections of working hours with the team
  • Paid 4 sick days and 1 day off + 20 working days of vacation
  • Sports program compensation
  • Free online English lessons with a native speaker
  • Large payments under the referral program, in which the bonus is received by both the employee who recommends and the candidate who accepts the offer
  • Training, internal workshops, participation in international professional conferences and corporate events
  • A wide relocation program for both employees and newcomers.

 

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