Data Scientist

Requirements

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

Benefits

Additional Information

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. 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.

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Company Intel

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