Position: Middle Data Scientist
Company: ELEKS
Experience required: 3y
Category: Data Science
English level: upper
Published: 2020-12-01T00:00:00+02:00

Data scientist approaches business problems of diverse scopes, within different industries, using applied math. Data scientist talks to customers, understands their needs, suggests data science approach, develops statistical, probabilistic, data mining, machine learning models, improves the accuracy of existing systems by enriching them with advanced analytical models, provides solutions in a form that can be easily deployed, used and maintained.

 KEY DUTIES AND RESPONSIBILITIES

Getting insight into the business problem, understanding the opportunity and value of analytical models for the customer
Collecting, transforming, and preprocessing raw data to prepare it for analysis
Deriving descriptive statistics out of the preprocessed 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
Implementing the model in a form that can be easily used by engineers, documenting its interfaces
Delivering the model in a form that can be easily deployable and maintained

SPECIALIZED KNOWLEDGE

Understanding theoretical concepts of statistics/probability, data mining, machine learning
Understanding how these theoretical concepts could be applied to real-world problems
Ability to understand the nature of business problems and see the place of analytical models in the solution
Knowledge and hands-on experience with one or more of the following: Matlab/Octave, R, Python
Familiarity with the concept of HPC, parallel computing
Knowledge and hands-on experience with one or more of the following for data analytics: Spark/Theano/TensorFlow/Caffee

SKILLS AND ABILITIES

Strong English verbal and written communication skills
Deep analytical skills
Self-organization, self-management
Ability to work independently with limited supervision
Ability to handle multi-tasking activities
Ability to learn quickly
Following academic research and trends as a habit
Initiative and pro-active skills and flexibility

EDUCATION

Master degree in Mathematics, Physics, Computer Science or similar
In lieu of degree: pieces of evidence of having relevant level of theoretical knowledge in statistics/probability, data mining and machine learning

EXPERIENCE

Track record in data analysis, data science, artificial intelligence

PERSONAL CHARACTERISTICS

Passion for learning and education
Business orientation
Result orientation

JOB CONTEXT

Customer-facing role
Sole responsibility over the analytical project
High level of responsibility
Simultaneous handling and fast processing of multiple tasks
Lots of educational and self-educational activities
Culture of knowledge sharing