Knowledge of Modeling (ML/DL) and analysis
Math/Statistics/CS background
Possible previous experience — NLP, CV, TS, economic modeling/optimization
Experience in Scientific Python: Numpy, SciPy, Keras, Pandas, Scikit-Learn etc
At least Upper Intermediate English Level
Good business communication skills
Knowledge of the following: Matlab/Octave, R is a plus
Ability to work independently with limited supervision
Ability to handle multi-tasking activities
Ability to learn quickly
Master degree in Mathematics, Physics, Computer Science or similar
Above average compensation and competitive Social package
Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy
Collecting, transforming and reprocessing raw data to prepare it for analysis
Deriving descriptive statistics out of the reprocessed data
Building statistical and probabilistic models
Designing, developing, training and testing data mining, machine learning and artificial intelligence models and algorithms
Providing comparative research on different algorithms and models
Junior data scientist approaches business problems of diverse scopes, within different industries, using applied math. She develops statistical, probabilistic, data mining, machine learning models, improves accuracy of existing systems by enriching them with advanced analytical models