Our client is a multinational mining company, with operations around the world, including Chile. They are currently going through an important structuring process, and in this context, they seek to add a Senior Data Scientist (reporting to the Regional Manager Technology).
Main Objective:
Actively engage all relevant stakeholders.
Conduct optimization exercises in the studies stages, incorporating an appreciation of factors such as cost-volume relationships, capital designed relationships and mining or body and processing signature characteristics.
Maintain a Project Execution Control framework to facilitate world class delivery of capital projects. The framework should focus on a universally applicable approach to influence and align design and study phases and proactively set up the construction phases for success to optimize project delivery.
Actively apply expert knowledge and thought leadership to challenge paradigms and lead... project teams in the application of conventional and novel methodologies in exploring constructability options that will expedite project execution and realize capital savings.
Lead the analysis and identification of opportunities to enable step changes in value realization by creating novel management and technical pathways for the integration and/or adaptation of execution cycle time activities and sequencing to drive cost reduction, mitigate project risk and ensure sustainability of operations post commissioning.
Qualifications/Skills:
5 years of experience manipulating data sets and building statistical models and has a Master´s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Leadership/ Management experience.
Solid understanding of data science and machine learning foundations and familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Domain knowledge of mining and a technical background.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience creating and using advanced machine learning algorithms and statistics: (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience solving complex problems and advanced studies and distributing work across a team of data scientist.
Experience in implementing statistical modelling and machine learning methods.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
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Location: Remote - Anywhere
Skills required for this job:
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