Download Machine Learning Specialist

Machine Learning Specialist
Are you passionate about Machine Learning, Data Mining and Predictive Analytics?
Want to be part of a team of multicultural experts?
This is your opportunity to be part of a new and innovative copper exploration initiative in Chile. The company is part of a
major business group established in London. It is focused on discovering mineral deposits while significantly improving
exploration, maximizing chances of success and minimizing chances of failure.
Job description (Key Accountabilities)
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Support the Data Science team, drawing on theoretical knowledge and prior technical experience pertaining to
machine learning, predictive analytics, data mining and statistics.
Develop and maintain the Data Science infrastructure:
Conduct preliminary data exploration and data preparation steps. Perform variable/algorithm selection,
model development and validation, metrics definition and scoring/ranking.
Maintaining hardware, software and data base infrastructure.
Responsible for presenting analysis, methods and results to non-expert personnel, management team and technical
experts throughout different projects.
Interact with the global academic and business community to develop new techniques
Required Experience
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 Master or PhD in applied computational mathematics, computer science, engineering or similar quantitative field
 5+ years of relevant experience in Data Mining / Statistical Analytics/Predictive Analytics/Machine Learning
 Experience with data driven projects from definition through execution and interpretation
 Knowledge and scripting experience in Matlab and Python
 Skills in programming languages like C
 Advanced level of English
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It’s important when applying for the position, to indicate:
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Degree and institution in which you studied, mention if you have a Master or PhD
If you have fulfilled a similar position or role in your career
Years of experience in Machine Learning/Data Mining
Which programming language(s) you are used to work with
Monthly net income expectations
If you´re interested contact us by sending your CV to our Human Resources Dept.: [email protected]