Data Scientist

PT Merdeka Copper Gold Tbk; Daerah Khusus Ibukota Jakarta; On-site; IDR 180,000,000 - 360,000,000; Full time

Job summary

PT Merdeka Copper Gold Tbk is seeking a Data Scientist to drive data-driven decision-making and develop AI solutions supporting business growth and operational excellence. You will analyze complex datasets, build ML models, and generate actionable insights for cross-functional teams in a mining environment.

The role involves data collection, cleaning, feature engineering, model deployment, and dashboard development to communicate results to stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, AI, or related field.
• Minimum 3 years of proven experience as a Data Scientist, ML Engineer, or related role.
• Strong proficiency in Python and SQL for data processing, statistics, ML, and data engineering.
• Experience processing data from ERP systems (e.g., SAP, Oracle, Microsoft Dynamics).
• Experience with industrial data from SCADA, DCS, PLC, Historian, or IoT sensors, preferably in mining/manufacturing.
• Experience with ML libraries such as Pandas, NumPy, Scikit-Learn, XGBoost, TensorFlow, PyTorch.
• Understanding of statistics, feature engineering, predictive modeling, model evaluation, and data mining.
• Familiarity with cloud platforms (GCP, AWS, Azure) and data warehouses; knowledge of MLOps is a plus.
• Strong analytical, problem-solving, and communication skills to translate data into insights.
• Knowledge of mining operations and mineral processing is highly preferred.

Responsibilities

• Collaborate with cross-functional teams to understand business challenges and develop AI- and data-driven solutions.
• Collect, clean, preprocess, and integrate structured and unstructured data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and business opportunities.
• Design, develop, train, validate, and optimize machine learning and predictive models to solve business problems.
• Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation to improve model accuracy and reliability.
• Deploy, monitor, and maintain ML models in production, ensuring scalability and performance.
• Develop analytical dashboards, reports, and visualizations to communicate model outputs and business insights.
• Ensure data quality, governance, and integrity throughout the analytics lifecycle.
• Present findings and recommendations to technical and non-technical stakeholders.
• Research and evaluate new ML techniques and AI technologies to drive innovation.

Skills

Python

SQL

ML

EDA

Data Viz

ERP data

SCADA/IoT

Cloud platforms

Communication

Mining domain

Education

Bachelor's degree in CS/DS/Math/Engineering

Tools

Pandas

NumPy

Scikit-Learn

XGBoost

TensorFlow

PyTorch

Job description

Job Overview

We are seeking a Data Scientist to drive data-driven decision-making and develop innovative AI solutions that support business growth and operational excellence. In this role, you will analyze complex datasets, build and optimize machine learning models, generate actionable business insights, and collaborate with cross-functional teams to solve real-world business challenges. The ideal candidate is passionate about data, analytics, and emerging AI technologies, with the ability to translate technical findings into practical recommendations that create measurable business impact.

Key Responsibilities

• Collaborate with cross-functional teams to understand business challenges and develop AI- and data-driven solutions.
• Collect, clean, preprocess, and integrate structured and unstructured data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and business opportunities.
• Design, develop, train, validate, and optimize machine learning and predictive models to solve business problems.
• Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation to improve model accuracy and reliability.
• Deploy, monitor, and maintain machine learning models in production environments, ensuring scalability and performance.
• Develop analytical dashboards, reports, and visualizations to communicate model outputs and business insights effectively.
• Ensure data quality, consistency, governance, and integrity throughout the analytics and machine learning lifecycle.
• Present technical findings and actionable recommendations to both technical and non-technical stakeholders.
• Research and evaluate new machine learning techniques, AI technologies, and industry best practices to drive continuous innovation.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
• Minimum 3 years of proven experience as a Data Scientist, Machine Learning Engineer, or in a related role.
• Strong proficiency in Python and SQL for data processing, statistical analysis, machine learning, and data engineering.
• Experience processing and analyzing data from ERP systems (e.g., SAP, Oracle, Microsoft Dynamics, or similar).
• Experience processing and analyzing industrial operational data from SCADA, DCS, PLC, Historian databases, and IoT sensors, preferably in mining, mineral processing, or manufacturing environments.
• Experience with machine learning libraries and frameworks such as Pandas, NumPy, Scikit-Learn, XGBoost, TensorFlow, PyTorch, or similar.
• Strong understanding of statistics, feature engineering, predictive modeling, model evaluation, and data mining techniques.
• Familiarity with cloud platforms (GCP, AWS, or Azure), data warehouse solutions (e.g., BigQuery, Snowflake), and MLOps practices is a plus.
• Strong analytical, problem-solving, and communication skills with the ability to translate complex data into actionable business insights.
• Knowledge of mining operations, mineral processing, and industrial analytics is highly preferred.