The Company

Modular Mining Systems is the global leader in mine management technology and a wholly owned subsidiary of Komatsu Ltd. Our innovative technology powers mine operations in every corner of the globe.  The products we cultivate, the solutions we engineer and the service we deliver set us apart in the Mining Technology industry.  We’re more than a company, we’re a community of passionate, creative professionals striving toward a shared vision: to revolutionize the way the mining industry operates.

With a presence stretching from Johannesburg to Vancouver, Sydney to Lima, you are part of a global brand that supports creativity, fosters innovation and encourages you to think big, share ideas and be yourself.

What Are The Benefits Of Working With Komatsu

We believe strongly in a healthy work/life balance and we love to brag about all the great things are members enjoy; like comprehensive health and benefit packages, tuition reimbursement, RRSP contributions with company match, flexible scheduling options and, of course, an excellent vacation policy. We are a global organization with a reputation for having premier people building premier products, we offer competitive compensation packages and a culture that thrives off creativity, collaboration and teamwork.

Job Purpose

This role is instrumental in developing advanced predictive analytics tools that provide actionable insights using historical and real-time data. This role requires a creative problem-solver with a strong grasp of data science methodologies, machine learning, and statistics. The selected candidate will be accountable for enabling optimization development teams, consulting teams, and customers by providing analytical tools to predict the behavior of assets.

The Applied Sciences department is looking for someone well versed in the data science process. Someone who is proactive, data-oriented, creative, and shows good skills in computer programming and data analysis, visualization, and presentation.

The Applied Science Team

Komatsu Mining Technology Solutions’ Applied Sciences Team designs and develops real-time optimization engines for automated and manned systems across the mining value stream with special focus on load & haul operation.

Job Duties and Responsibilities

Each day will present you with new challenges and opportunities to test and grow your skills.  As a Data Scientist II with Modular, you’ll be responsible for:

•    Thought Leadership & Innovation: Identify areas where predictive models can be improved, propose novel approaches, and drive strategic improvements in analytics capabilities.
•    Advanced Data Analysis: Investigate complex problems using structured problem-solving techniques and develop data-driven solutions.
•    Predictive Modeling: Design, develop, and validate machine learning and statistical models to optimize performance across mining operations.
•    Collaboration & Knowledge Sharing: Work cross-functionally to integrate predictive analytics into real-time applications and share best practices in model development and deployment.
•    Technical Implementation: Write scalable, high-quality code, implement machine learning algorithms, and ensure seamless integration into operational workflows.
•    Presentation & Stakeholder Engagement: Effectively communicate findings, model performance, and recommendations to both technical and non-technical stakeholders.
•    Continuous Learning: Stay updated with the latest advancements in Data Science, Artificial Intelligence, and Big Data technologies to drive innovation.

Required Skills

•    B. Sc. in Data Science, Computer Science, Industrial Engineering, Statistics, or related with 5+ years’ experience
•    Proficient in at least one major programming language (Python, Scala, Java, C#, C/C++, Kotlin).
•    Understanding of database theory and experience in at least one relational DBMS like SQL Server, PostgreSQL, and MySQL
•    Expertise in data manipulation, including indexing, slicing, transposing, and reshaping data, performing operations with data frames, and extracting data from various sources such as CSV, JSON files, SQL and NoSQL databases, and web APIs.
•    Strong knowledge of various machine learning techniques, including supervised, unsupervised, and reinforcement learning.
•    Experience in time series forecasting, anomaly detection, and ensemble methods.
•    Proficiency in Power BI, Tableau, or equivalent tools to create insightful visual representations of data.

Desired Skills

•    Proven experience in haulage operation within the mining or transportation industry, with a strong focus on applying predictive analytics to enhance operational efficiency and decision-making.
•    Understanding of fleet optimization, route optimization, vehicle scheduling, and operational efficiency modeling.
•    Familiarity with transportation simulation tools and AI-driven logistics planning.
•    Familiarity with telematics, IoT data sources, and sensor-driven analytics in Load & Haul operations.
•    Expertise in real-time analytics and event-driven architectures (Kafka, RabbitMQ, etc.).
•    Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
•    Strong understanding of agile methodologies and collaborative development practices.