PORGERA | Advisor, Senior - Data Scientist

Porgera, Enga, Papua New Guinea

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The data scientist will be the subject matter expert (SME) in extracting valuable insights using advanced statistical analysis and data management for the Environment Department. You will work closely with Environment stakeholders to understand their goals and determine how the available data can be used to achieve those goals. You will implement new database systems and data modeling processes, and predictive models to extract the information the business needs. Help analyze the data and share meaningful insights with peers. 

The ideal candidate must have:

  • Bachelor or higher degree in Computer Science, Mechatronics, Mathematics or Engineering
  • Strong background in databases, programming, statistics, machine learning, data visualization, communication and problem-solving
  • Proficient with data mining, cleaning, visualization, and programming languages such as Python, R, SQL, Java, JavaScript
  • Experience in using databases
  • Able to define the problem, scope the project, plan the resources, monitor the progress, evaluate the results, and deliver the solutions
  • Fluency in English is a must

Key Responsibilities:

  • Database management and implementation in collaboration with technology development partners
  • Data Collection and Preparation: Collaborate with cross-functional teams to gather data from various sources. Develop data pipelines and ensure data quality and consistency for analysis.
  • Data Analysis and Modeling: Utilize advanced statistical and machine learning techniques to analyze large datasets and identify patterns, trends, and anomalies. Build predictive models to optimize mining operations and equipment maintenance.
  • Visualization and Reporting: Create data visualizations and reports to communicate findings and insights to stakeholders, including management and operational teams. Develop interactive dashboards for real-time monitoring
  • Proactive technical problem solver, with strong ability to map technologies to business priorities
  • Communicate clearly and effectively with different audiences, such as technical peers, business analysts, managers, and customers
  • Proven self-starter with ability to turn objectives into actions and results
  • Present their findings and recommendations using compelling and engaging visualizations and stories
  • Think critically and creatively and generate new ideas and insights from data
  • Maintaining a high level of health and safety awareness and comply with the PJV Health & Safety Policy and all health, safety rules and procedures
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Category: Data Science Jobs

Tags: Computer Science Data analysis Data management Data Mining Data pipelines Data quality Data visualization Engineering Java JavaScript Machine Learning Mathematics Pipelines Python R SQL Statistics

Region: Asia/Pacific
Country: Papua New Guinea

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