Position: Data Scientist
Company: Evolution Gaming
Category: Product Manager
Experience required: 3y
English level: fluent

**You will need to:**
Work with business and technical stakeholders to choose the most appropriate ML solutions;
Design and develop machine learning models to support the following use cases:
advantage play identification,
fraud prevention,
identification of suspicious user behavior patterns;
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 machine learning models;
Work with other teams to deploy machine learning models to production;
Use and, where necessary, extend existing machine learning libraries and frameworks.

**To succeed in this role you should have:**
University degree in numerical field (Machine Learning, Statistics, Mathematics, Computer Science, Physics, Engineering, etc.);
Experience and understanding of linear algebra and statistical modelling;
In-depth knowledge in at least one Machine Learning field such as regression, classification, clustering, pattern mining or optimization;
Experience with at least one Machine Learning 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 the latest trends in programming and machine learning.

**We will appreciate:**
Experience with designing and deploying machine learning pipelines to production;
Knowledge of Scala or Java;
Experience with Kafka, Clickhouse.

**We offer:**
Entrepreneur culture of the company, which allows you to try new approaches and technologies all the time;
Recognition from the business which translates to very competitive salaries and a supportive attitude;
A healthy mix of startup-like culture of the company, which enables us to try new approaches and technologies and remain on the edge of technological development and enterprise, with stability and supporting functions to help you focus on your job;
Modern and developer-friendly delivery processes, including Agile (Scrum / Kanban), JIRA issue tracking, Confluence wiki, GitLab source control, Jenkins continuous integration and delivery, modern hardware and software for development (an IDE of your choice);
Being a part of an international team in a successful, publicly-traded company;
Health insurance, contemporary office environment, tech conference attendance, training, hackathons, 24/7 company gym, and other benefits and perks.