Data Scientist - Mining

Michael Page; Daerah Khusus Ibukota Jakarta; On-site; USD 40,000 - 90,000; Full time

Job summary

Join a leading mining operations company that is at the forefront of data-driven innovation. This role offers the opportunity to work with cutting-edge analytics technology, focusing on data strategy development, machine learning, and predictive modeling. You will play a crucial role in optimizing mining processes through advanced statistical analysis and data governance. With a commitment to fostering an inclusive working environment, this position promises to enhance your skills while contributing to impactful projects in large-scale mining operations. If you are passionate about leveraging data to drive strategic decisions, this is the perfect opportunity for you.

Benefits

Inclusive working environment

Opportunity for professional development

Participation in innovative projects

Qualifications

• Expertise in data modeling and database architecture.
• Skilled in machine learning and deep learning frameworks.

Responsibilities

• Formulate and execute data strategy aligned with business goals.
• Architect and implement sophisticated data models.

Skills

Data Modeling

Machine Learning

Deep Learning

Data Mining

Statistical Analysis

Pattern Recognition

Predictive Modeling

Data Governance

Python

R

Java

Education

Bachelor's degree in Statistics

Master's or PhD in a related field

Tools

TensorFlow

PyTorch

Scikit-learn

Hadoop

Spark

AWS

Google Cloud

Azure

Job description

Opportunity to work with cutting-edge analytics technology

Contribute to data-driven mining optimization.

About Our Client

Our client is a leading mining operations company with a major presence in Indonesia and globally.

Job Description

• Data Strategy Development: Formulate and execute the data strategy, ensuring alignment with overall business goals.
• Data Modeling: Architect, implement, and refine sophisticated data models for both structured and unstructured data environments.
• Machine Learning & Deep Learning: Build, validate, and deploy ML/DL models to address business challenges and enhance decision-making capabilities.
• Data Mining & Statistical Analysis: Apply advanced statistical techniques, data mining, and mathematical analysis to extract actionable insights and drive strategic planning.
• Pattern Recognition & Predictive Modeling: Design systems for identifying patterns and forecasting trends to improve operational efficiency.
• Statistical Innovation: Develop new statistical models to support complex analytical tasks.
• Data Governance: Define and uphold standards for data quality, integrity, and security across the organization.
• Insight Implementation: Translate analytical insights into practical solutions, aligning with business objectives and anticipating data needs to support decision-making.

The Successful Applicant

• Demonstrated expertise in data modeling, database architecture, and performance optimization.
• In-depth knowledge of statistical methodologies and data mining techniques, with practical application in business environments.
• Skilled in developing and deploying pattern recognition systems and predictive analytics models.
• Proficient in machine learning and deep learning frameworks, including TensorFlow, PyTorch, and Scikit-learn.
• Strong coding abilities in languages such as Python, R, and Java.
• Hands-on experience with big data ecosystems (e.g., Hadoop, Spark) and major cloud platforms (e.g., AWS, Google Cloud, Azure).
• Excellent analytical and problem-solving skills with a data-centric approach.
• Strong critical thinking capabilities and a mindset focused on data-driven decision-making.
• Comfortable operating in dynamic, research-driven environments managing multiple projects.
• Able to communicate complex data insights into clear, actionable recommendations.
• Holds a Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Engineering, Data Science, or a related field; advanced degrees (Master's or PhD) are highly desirable.

What's on Offer

Inclusive working environment

Opportunity to participate in early-stage predictive analytics in large-scale mining operations.