Senior-Level Data Scientist Offline

Core competencies:

Analytical thinking and exploratory state of mind

Willingness to work with interesting, challenging and non-trivial tasks

Deep knowledge in: Probability Theory, Mathematical Statistics and 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 or Scala

Profficent SQL or related languages (Hive, Pig)

Ability to process and analyze large datasets, ability to create and check hypothesis, to visualise data

Following competencies are desirable but not mandatory:

ML and data frame-working with either of: TensorFlow, scikit-learn, Pandas, vowpal wabbit, XgBoost, Spark ML, Azure ML, Amazon ML, Google Cloud ML tools

Analysis of time frames: ARIMA/VARIMA, RNN

Work with large datasets

R, Java and Scala would be an advance

Familiarity with Spark/Spark ML/PySpark, Hadoop stack

Your responsibilities:

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 offer:

Long lasting, interesting and challenging project

Reasonable internal customer

Excellent team

Full-time remote work with flexible hours or Full-time work in our office

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