Vacant Position at FAST - Data Science Expert, Yerevan, Armenia

Foundation for Armenian Science and Technology (FAST)


October 24, 2018

Opportunity Cover Image - Vacant Position at FAST - Data Science Expert, Yerevan, Armenia



The Data Science Expert will be responsible for the coordination of development efforts in FAST’s priority field of data science. He/she will oversee and advise the work of research groups, advise the organization on the data science development strategy in the country. The incumbent will have an in-depth expertise in data science/AI/machine learning research, an understanding of its applications in different domains, and transfer his/her expertise through design and deployment of trainings.

The successful candidate will be able to work in a fast-paced environment and have excellent oral and written communication skills. She/he will be able to lead and implement projects, collaborate with internal and external colleagues, and have a keen attention to detail. In this position the candidate will recommend actions based on the gathered data/facts. The information and analyses prepared by the incumbent will carry fiscal and policy implications. Reports and analyses will be used to assist the organization in planning and decision making.


  • Coordinate the work of data science research group(s), oversee the progress, and act as a point of contact between them and FAST;
  • Oversee and advise the development and improvement of algorithms, ANNs, and models;
  • Develop research protocol while utilizing best practices in research design, data collection and data analysis;
  • Oversee the creation and manipulation of large databases;
  • Advise the organization on the data science development strategy in the country;
  • Participate in data science syllabus creation, and conduct trainings;
  • Produce clear and concise written reports documenting the methodology used to conduct and analyze studies;
  • Summarize project results;
  • Prepare materials for senior management review;
  • Be an active, willing and cooperative team player;
  • Be prepared to develop independent research projects.


  • University degree in STEM with strong quantitative background (M.Sc or PhD is preferred);
  • Ability to perform big data analysis;
  • Knowledge of machine learning techniques and artificial intelligence fundamentals;
  • Experience with common data science toolkit (Python, R, Matlab, etc.);
  • Experience with data visualization tools is strongly preferred;
  • General knowledge of the main fields and subfields of STEM;
  • At least two years of recent experience in an applied data science research/data management environment;
  • Ability to manage multiple concurrent projects, reason analytically, and work effectively with people possessing different levels of technical knowledge is required;
  • Effective oral communication skills and proficiency in producing technical reports is required;
  • Ability to work independently, and as a part of the team;
  • Excellent critical thinking skills.


All interested candidates are kindly requested to submit their CVs by e-mail to Please indicate the title of the position “Data Science Expert“ in the subject line of your e-mail. FAST is grateful to all interested applicants; however, only shortlisted candidates will be contacted for the interview. 


Foundation for Armenian Science and Technology (FAST) is conceived as a comprehensive platform to foster technological and scientific breakthroughs in Armenia.

FAST aims to revive the country’s strong Science, Technology, Engineering and Mathematics (STEM) traditions, establishing a favorable regime for the innovative environment, fostering science and technology education, and actively developing a venture capital ecosystem.

One of the most pivotal tasks of FAST is to engage tech and scientific communities in raising the profile of Armenia as a hub for technological and scientific discoveries and developments.


Note: Employment decisions are made without regard to race, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or other characteristics protected by law.

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Publish Date
September 21, 2018