Applied Data Scientist
hace 2 días
Client: DataArt's client is the foremost airline in South America, offering the widest selection of destinations, flight frequencies, and aircraft fleet options.
Position overview: We are looking for a Causal Inference Specialist to join our experimentation team. This position involves working with a variety of teams and scenarios (both physical and digital), promoting and conducting experiments to guide team efforts and improvements. These developments will be part of the data-driven transformation of the largest airline in Latin America, aiming to strengthen and optimize decision-making based on rigorous technical data analysis.
- Act as the primary driver for measuring the impact of our products by estimating and correlating the effects of our actions on the company’s key indicators (Revenue, Cost, Customer Experience, Punctuality, among others) using experimental and observational techniques.
- Enable experimentation across different teams within our client, identifying the appropriate statistical methods to measure impact in each domain.
- Participate in the creation of our client's experimentation platform.
- Economics or sociology background.
- Proficient in developing impact evaluation studies using experimental and observational techniques, including RCT (Randomized Control Trials), econometric methods like Difference in Differences, synthetic controls, instrumental variables, and Propensity Score Matching, among others.
- Intermediate proficiency in scripting languages focused on data analysis (R and/or Python), with a solid foundation in managing flows, conditions, and functions, and familiarity with key library stacks like tidyverse for R and pandas/statsmodels for Python.
- Skilled in using declarative query languages (SQL) to prepare datasets for analysis and characterize their behavior.
- Experienced in collaborating with data and analysis teams on business indicators.
- Good spoken English.
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