Data Scientist

Hexagon; Damai Bahagia; On-site; IDR 501.588.000 - 835.981.000; Full time

Job summary

A global leader in measurement technologies is seeking a Data Scientist to drive advanced analytics initiatives. The role involves building ETL pipelines, applying analytics to optimize operational performance, and communicating insights through BI dashboards. Candidates should have 5+ years of experience in asset-intensive industries, strong technical proficiency in SQL and Python, and the ability to explain analytics to non-technical stakeholders. Proficiency in English is required.

Qualifications

• 5+ years of analytics experience in asset-intensive industries.
• Proven ability to deliver end-to-end solutions (data pipelines → analytics → dashboards).
• Proficiency in English, both verbal and written communication.

Responsibilities

• Build ETL pipelines developing scalable data for dashboards and predictive models.
• Apply analytics and statistical methods to predict operational performance.
• Build BI dashboards and custom web apps to communicate insights.

Skills

SQL

Python

Geospatial

BI Tools

Strong communication skills

Education

Bachelor’s or master’s degree in data science, Computer Science, Engineering

Tools

Power BI

Streamlit

Folium

Kepler.gl

Job description

Overview

The Company: The Company. At Hexagon, we don't just measure the world – we define its future. As the global leader in measurement technologies, we provide the confidence that vital industries rely on to build, navigate, and innovate. From microns to Mars, our solutions drive productivity, quality, safety, and sustainability across aerospace, agriculture, automotive, construction, manufacturing, and mining.

Hexagon Autonomous Solution comprises of three divisions: Agriculture, Autonomy & Positioning and Mining.

Hexagon Mining: Hexagon delivers the power of a digitally connected mine. We provide We help mines achieve excellence through a powerful platform equipped with visualization and analysis tools, covering workflows from fleet management to health and safety, enabling cost reductions and production gains

The Position

Reporting to the SMART Centre Team lead, this position is seeking a Data Scientist to our lead advanced analytics initiatives working with large-scale operational datasets, designing and delivering end-to-end solutions for our clients to optimise their safety and operational performance.

• Data Engineering & Architecture: Build ETL pipelines developing scalable data for dashboards and predictive models.
• Analytics & Modeling: Apply analytics and statistical methods to predict mining operational performance, productivity, and risk, translating complex data into business metrics
• Visualization & Reporting: Build BI dashboards and custom web apps (Power BI, Streamlit, Folium, Kepler.gl, etc.) to communicate insights, easy-to-understand visuals for broad audience
• Collaboration & Consulting: Work closely with consultants and client stakeholders to understand challenges and design analytics solutions

About you

This role suits someone with strong data science skills from any asset-intensive industry (manufacturing, logistics, energy, transport, etc.) who is eager to apply them in mining. In addition, we are seeking those with the following skills or attributes.

• Bachelor’s or master’s degree in data science, Computer Science, Engineering, or related field.
• 5+ years of analytics experience in asset-intensive industries (manufacturing, logistics, energy, utilities, transportation, or mining).
• Strong technical proficiency in: SQL, Python, Geospatial, BI Tools
• Proven ability to deliver end-to-end solutions (data pipelines → analytics → dashboards).
• Strong communication skills to explain analytics to non-technical stakeholders.
• Proficiency in English, both verbal and written communication.

Desirable not Essential

• Experience with mining fleet management systems (HxGN MineOperate OP Pro, Modular, Wenco, or similar).
• Hands-on work with IoT data (sensors, GPS traces, telemetry).
• Deployment experience with Streamlit/Docker.
• Knowledge of operational improvement frameworks (Lean Six Sigma or similar).

We are committed to being a diverse workplace that mirrors the international nature of our business, with employees, customers and suppliers working across the world in more than 50 countries.