Middle/Senior Data Analyst

We are seeking a Data Analyst with a background in econometrics and machine learning to focus on forecasting, time series analysis, and impact assessment. The ideal candidate will be responsible for developing methodologies and tools to work with time series, evaluating the effects of business changes through AB tests and causal inference, and assisting in hypothesis generation and validation.

Who We Are: InDrive is committed to challenging injustice in communities around the world. In addition to mobility solutions, we offer intercity transportation, delivery, freight and lending services, as well as on-demand task services in different markets of operation.

• engage in the forecasting of key metrics based on econometric approaches and basic ML to solve monitoring, planning, and impact assessment problems;
• develop methodology and tools for working with time series;
• evaluate the effect of business changes using AB tests and causal inference techniques, through alternative forecasting;
• assist the business in generating, prioritizing, and validating hypotheses;
• generate insights and functional requirements for analytic products.

• basic knowledge of probability theory, mathematical statistics and experience in its application;
• skills in evaluating hypotheses, analyzing and structuring data, drawing conclusions, and finding relationships in data;
• experience in forecasting, smoothing, seasonal-trend decomposition etc. Possible participation in the development of a framework\internal platform for forecasting;
• practical experience in applying various methods of causal inference estimation, using EconML, CausalImpact, CausalMl libraries etc.;
• proficient use of SQL (we have BigQuery) and Python for data analysis (NumPy / SciPy / Pandas);
• experience mentoring / coaching a team.

• relocation to company offices in Kazakhstan or Cyprus;
• modern MacBook Pro and other equipment necessary for work;
• unlimited opportunities for professional and career growth, regular external and internal training from our partners;
• partially or fully paid additional training courses, English classes with a teacher in the office;
• personal growth programs in which we set goals and move towards them together;
• become part of an international team of professionals and just good people who together create one of the coolest success stories in the global IT industry.