Data Scientist

For the leading company in the Aerospace industry of the world, we look for Data Scientist.
 
We offer to integrate to the main company of its sector, in the world aeronautical industry.
Annual salary range is CAD $90,000 - CAD $120,000 based on technical knowledge, experience and command of English.
Transfer and location to Canada, paid by the company.
Initial contract for 3 months, then indefinite.
 
As a member of the Data Science team, you will analyze and synthesize information to understand issues, identify options, and support sound decision-making.  You will be generating viable, new approaches and solutions
 
As the ideal candidate, you are adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
 
We are looking for people who can:
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
-Assess the effectiveness and accuracy of new data sources and data gathering techniques..
-Develop custom data models and algorithms to apply to data sets.
-Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
-Develop company A/B testing framework and test model quality.
-Coordinate with different functional teams to implement models and monitor outcomes.
-Develop processes and tools to monitor and analyze model performance and data accuracy.
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Requirements and qualifications :
-Have a Master or PhD in Statistics, Computer Science, Business Analytics or a related field
-Possess at least 5 years experience in Data Science or applied statistics..
-Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets..
-Experience manipulating data sets and building statistical models..
-Knowledge of a variety of machine learning techniques (Random Forests, Gradient boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks.
-Knowledge of advanced statistical techniques and concepts (GLM/Regression, Time Series, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
-Experience using web services: Redshift, S3, Azure, Spark, DigitalOcean, etc.
Advanced conversational English

Lugar de trabajo: Santiago de Chile, Región Metropolitana.