Position: Data Scientist
Company: Scalarr
Experience required: 1y
English level: intermediate

**Required skills:**
● 2+ years of experience researching and developing Machine Learning algorithms;
● Practical experience in developing Tabular Data & Time-Series solutions;
● Deep understanding of Machine Learning & Deep Learning concepts and algorithms;
● Experience with libraries and frameworks (Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, etc.);
● Deep knowledge of statistics and linear algebra;
● Engineering background and great experience in Python;
● Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions;
● Ability to process and analyze huge data volumes, ability to create and check hypothesis including data visualization;
● Analytical thinking and exploratory state of mind. Strong research skills;
● Empathy and good communication abilities;
● Degree in Computer Science, Data Science, Mathematics or similar field.

**As a plus:**
● Knowledge of Scala or Go;
● Docker, Kubernetes;
● Experience with deployment to the cloud;
● Experience developing and optimizing real-time software for high-loaded systems;
● Experience with large-scale machine learning (100GB+ datasets).

**Responsibilities:**
● Explore and implement challenging state-of-the-art algorithms;
● Train ML models for different fraud types;
● Ensure Analytics model quality assurance and validate them;
● Implement swiftly demo quality prototypes;
● Convert proven useful prototypes into well-documented production-ready code;
● Optimize python code base for production models.