— Analytical thinking and exploratory state of mind
— Willingness to work with interesting, challenging and non-trivial tasks
— Knowledge in following fields: Probability Theory, Mathematical Statistics, Linear Algebra
— Understanding of basic concepts/approaches and algorithms for machine-learning tools
— Relevant working experience with machine-learning tools
— Ability to work and create algorithms and data structures
— Good experience in Python and SQL
— Ability to process and analyze huge data volumes, ability to create and check hypothesis, to visualise data
— ML and data frame-working with either of: tensorflow, scikit, pandas, vowpal wabbit, xgboost, Spark ML, -
— Azure ML, Amazon ML, Google Cloud ML tools
— Analysis of time frames: ARIMA/VARIMA, RNN
— Work with huge data streaming
— R, Java and Scala would be an advance
— Familiarity with Spark ML/PySpark, stack Hadoop and Cassandra
— Long lasting, interesting and challenging project
— Reasonable internal customer
— Excellent team
— Data analysis and data processing
— Preparation of different hypothesis and models
— Hypothesis check by the means of different machine-learning algorithms
— Data visualization
— Tasks creation for product developers
— Committing to application code
— Structure and architecture projecting for data processing system
We are hiring a data scientist specialist. We have a very interesting and challenging antifraud project with analytics and data visualization, machine-learning tool and ultra-high loads.