dHired
English

Data Scientist

Published on Jul 20, 2021
Intersog

An Outstaff company with offices in Kyiv, Ukraine; Odessa, Ukraine.

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Experience:
3-5 years
Job Type:
Full-Time
Remote
Specializations:
Data Engineering
Deep Learning
Data Science & AI

What You Should Bring
Must-have
  • MS or higher in the following areas: Statistics and Mathematics;
  • At least 3-5 years of professional industry experience, in addition to your academic experience;
  • Outstanding quantitative analytical ability;
  • In-depth knowledge of Statistics/Probability/Machine Learning;
  • General Statistical concepts such as hypothesis testing, estimation, inference;
  • Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering;
  • Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction;
  • Real-world experience with popular machine learning algorithms such as Random Forest, Boosting, SVMs;
  • Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus;
  • Strong programming experience in Python and one of the following: Scala/Java, R;
  • Understanding of algorithm complexity and performance implications;
  • Knowledge of data structures and algorithms;
  • Good knowledge of Graph technology, Knowledge Graphs, Graph Databases and Ontologies;
  • Experience with SQL;
  • Upper-Intermediate level of English.

What You Will Get Benefits
  • Competitive compensation based on your skills, experience, and customer satisfaction;
  • Opportunity to work on challenging and exciting international projects;
  • Flexible working hours and the possibility to work remotely when needed;
  • Regular performance evaluation twice a year;
  • Long-term contract with 20-25 paid time off working days (for vacation, sick, and personal leave);
  • Corporate English courses from A1 to C1 level and monthly English-speaking clubs;
  • Compensation of professional conference attendance according to the corporate policy;
  • Compensation of medical insurance/gym according to the corporate policy;
  • Casual, friendly, and family work environment, flat organizational structure;
  • Regular knowledge sharing meetups and various corporate events (such as the company’s Birthday celebration and summer family party);
  • Newborn and wedding bonuses;
  • Gameroom with a lounge zone, PlayStation, and sports equipment;
  • Travel and visa assistance for employees;
  • Coffee, cookies, nuts, and dried fruits for a productive day;
  • Friday brunches with fresh bakery;
  • Yoga lessons;
  • Secure bike storage (Odessa).


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