You will be an instrumental member of our vision for data-driven innovation in mining industry. Data Science Team is providing a solution for company strategic goal with resolving meaningful problems and return high values impacts. Our team is growing and seeking bright individuals eager to be a part of the journey.
Role and Responsibilities
Contribute to the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges
Leverage sharp research skills to test hypotheses and draw insights to support our goal of industry-leading, resource-efficient copper mining
Utilize modern cloud technologies, such as Microsoft Azure, to deliver innovative analytics solutions at scale and visualize their impact for leadership
Actively support the build, implementation, and maintenance of practical, analytical assets that effectively solve business problems using statistical methodologies
Work Environment
Travel required up to 50%; most of travel goes to mining site.
Position is in busy, non-smoking office located in Jakarta.
Occasionally work will be performed in a mine, outdoor or manufacturing plant setting.
Must be able to work in a potentially stressful environment.
Minimum Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline.
Having minimum 3 - 5 years of work experience in information systems.
Proficient in predictive modeling: Linear and Logistic Regression, Tree based techniques (CART, Random Forest, Gradient Boosting), Time-Series Analysis, Text Analytics, Anomaly Detection, Survival Analysis.
Strong experience with SQL/Hive environments.
Skilled with R and/or Python Analysis environments.
Experience with Big Data tools for machine learning
You should have the following attributes
You are an analytics professional who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data.
You are a quantitative enthusiast who can build complex predictive models and unlock their value through Python, R, SQL and/or other rigorous analytical environments.
You are a tested researcher with a background in breaking down problem statements into their root causes and tailoring solutions based off of your findings.
You have a proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions.
Strong oral and written communication skills in English language.
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