Applied Statistician / Mathematician

Partner company

Industry: Information Technologies

City: Yerevan

Employment type: Full time

Deadline: 5/27/2020

POSITION DESCRIPTION:

We are looking for motivated and talented statisticians to assist in conducting basic and applied research in uncertainty quantification, statistical modeling, large scale parameter estimation, and advanced data analysis.

RESPONSIBILITIES:

  • Analyzing large and complex datasets, with a strong aptitude for conducting quantitative and qualitative analysis;
  • Understanding business problems along with their nuances and challenges to then discern the appropriate statistical/analytical techniques to apply;
  • Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members;
  • Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor;
  • Communicating effectively to various audiences, including various levels of management and external clients;
  • Provide general administrative support as needed;
  • Participate in special projects and perform other duties as required.


REQUIREMENTS:

  • BS or MS degree in Statistics, Mathematics, Data Science or a related degree;
  • Expertise and experience in applied statistics, and demonstrated experience working with analytical models, methods, or techniques;
  • Statistical analysis techniques including Bayesian statistics; linear regression, multivariate regression, logistic regression, time-series analysis, cluster analysis, network analysis, hypothesis testing, statistical sampling;
  • Strong knowledge of Bayesian statistics is preferred;
  • Advanced statistical topics including predictive modeling, simulation, machine learning, artificial intelligence;
  • Quantitative business and operations analysis;
  • Proficiency in manipulating and analyzing data in an analytics programming language, such as R, Python, or SAS.
  • Experience and interest in presenting analytic findings to business customers. Familiar with reporting and visualization tools, such as Tableau, Power BI, Business Objects, etc.


ADDITIONAL INFORMATION:

Interested individuals are requested to send their CVs to the mentioned email address. 

Only shortlisted candidates will be considered․

Thanks.

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