• Build, curate and maintain databases from a variety of internal and external sources of structured and unstructured data. Contribute to data cleaning, preprocessing, and feature engineering tasks.
• Applying statistical techniques to analyze data, identify patterns, correlations, and trends,
  and develop predictive models that provide insights and support decision-making.
• Utilizing machine learning algorithms and data mining techniques to discover hidden patterns, build predictive models, and develop algorithms for automation and optimization.
• Experiment Design and A/B Testing: Designing and conducting experiments to validate hypotheses, measure the impact of changes, and optimize business processes.
• Strong understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods.
• Creating visual representations of data analysis results to effectively communicate insights and findings to non-technical stakeholders.
• Working closely with domain experts, business stakeholders, and other data professionals to understand business objectives, develop data-driven solutions, and drive implementation.
• Act as a mentor for junior Product Data Scientists, providing guidance on their development, and supporting and reviewing delivery when needed.

• Strong mathematical and analytical skills, proficiency in statistics, data analysis, and research methods;
• Solid demonstrable technical experience using analytical tools, statistics, and data science techniques to build experiments, test hypotheses, and conduct analysis;
• Experience with experimentation (design and evaluation of A/B tests);
• Bachelor’s degree in Mathematics, Computer Science, Information Technology, or related field;
• 5+ years of data analyst or related experience;
• Strong technical experience with SQL and Python/R;
• Experience in using big data & cloud technologies (GCP , AWS);
• Proficiency in using reporting & data visualization tools, such as PowerBi, Tableau, Google Data Studio;
• Knowledge of analytics tools, (e.g., GA4, Google Tag Manager and Amplitude) is a plus;
• Ability to carry out data quality control, validation and linkage;
• Strong attention to details;
• Fluency in written and oral English.

• Strong mathematical and analytical skills, proficiency in statistics, data analysis, and research methods;
• Solid demonstrable technical experience using analytical tools, statistics, and data science techniques to build experiments, test hypotheses, and conduct analysis;
• Experience with experimentation (design and evaluation of A/B tests);
• Bachelor’s degree in Mathematics, Computer Science, Information Technology, or related field;
• 5+ years of data analyst or related experience;
• Strong technical experience with SQL and Python/R;
• Experience in using big data & cloud technologies (GCP , AWS);
• Proficiency in using reporting & data visualization tools, such as PowerBi, Tableau, Google Data Studio;
• Knowledge of analytics tools, (e.g., GA4, Google Tag Manager and Amplitude) is a plus;
• Ability to carry out data quality control, validation and linkage;
• Strong attention to details;
• Fluency in written and oral English.

To apply for this position and become part of a super energetic, constantly growing team that creates an ecosystem where all innovations thrive, fill in the Application form.

We appreciate your interest in TCF Armenia, however, only shortlisted candidates will be contacted for the next stages. In case you have questions, we would be happy to answer them via phone: 044 441 050, 044 441 060.