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.
Nice to Have:
- 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
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]
