Middle Data Science Engineer (Statistical Computing)

Published on Jul 14, 2021

An Outsource company with office in Kyiv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

– Build and execute Monte Carlo simulations take as input statistical parameters that have been discovered from randomized controlled experiments and that generate candidate recommendations for combinations of actions/policies for applying the knowledge generated from the randomized controlled experiment;
– Collaborate with a team of scientists to identify integrate causal and counterfactual inference based structural models (think Judea Pearl) to generate hypotheses that can be tested empirically via randomized controlled experimentation;
– Collaborate with a team of scientists integrating statistical inference methods and techniques into automated systems;
– Apply different approaches for tasks solving;
– Communication with other teams including non-engineering teams.

What You Should Bring

– 3+ years experience in Data Science and/or Machine Learning
– Solid knowledge of Python and R programming languages
– Advanced knowledge and experience in methods for classic machine learning and deep learning, data science, and BI
– Applied statistics knowledge (Design of Experiments (DOE), Multivariate Statistics)
– Solid knowledge of SQL
– Upper-intermediate English (ability to freely communicate and lead a conversation with English-speaking teams)


– Degree in the related field
– Engineering experience

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