Middle/Senior Data Analyst

Minsk, Belarus


Teqniksoft is looking for a talented Middle-Senior Data Scientist/Data Analyst to join our team. He or she will become a part of one of our start-up products related to NLP in social media+medicine and will contribute to our future growth.


The platform which allows medical workers to discuss & collaborate on different topics across hospital life. Platform has many users with different roles and helps to solve arising situations efficiently.

Data Scientist/Analyst help is needed to extract valuable parts of conversations aiming to optimize handling similar situations in future.

  • NLP project will be based on deep learning and related to the majority of tasks in the field, including topic modelling, information retrieval, classification, named entity recognition etc.
  • Work closely with customer to convert business problems to data science tasks
  • Deliver full-cycle data science product
  • Provide NLP expertise to the company DA team.
  • Mathematical background, experience in solving applied problems using Deep Learning technologies, NLP in particular
  • Proficiency in Python + ML and NLP packages (Scikit-learn, Pandas, XGBoost, VowpalWabbit, for NLP – genism, nltk)
  • Ability to extract solvable sub-tasks from the big common project goal, formulate a problem in ML terms, evaluate the result
  • Ability to deliver full-cycle data science product – from task statement and research to the model, ready for production implementation
  • Ability to work with research papers and SOTA in the field, select appropriate algorithms that suit best for the task solving
  • Excellent communication and interpersonal skills
  • Strong problem solving, time-management, organizational and project-management skills
  • Interest and ability to work in a close, interdependent team of data analysts and business owners
  • Fluent English speaker (upper-intermediate and higher).
  • C++ knowledge
  • Knowledge of one of the Deep Learning frameworks: PyTorch, Tensorflow, Keras
  • Ability to work with big data
  • Office located in the city center (Nemiga).
  • English language courses.
  • Medical insurance.
  • 5 additional paid days a year in case of illness without a sick leave.
  • Purchase of professional literature.
  • Sports compensation.
  • Compensation of external training and certification.
  • Flexible working schedule.
  • Corporate events and trips.

If you feel that you are a great fit, please submit your CV.

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