Data Scientist

Komatsu is an indispensable partner to the construction, mining, forestry, forklift, and industrial machinery markets, maximizing value for customers through innovative solutions. With a diverse line of products supported by our advanced IoT technologies, regional distribution channels, and a global service network, we tap into the power of data and technology to enhance safety and productivity while optimizing performance. Komatsu supports a myriad of markets, including housing, infrastructure, water, pipeline, minerals, automobile, aerospace, electronics, and medical, through its many brands and subsidiaries, including Joy, P&H, Montabert, Modular Mining Systems, Hensley Industries, NTC, and Gigaphoton. We're more than a company, and we're a community of passionate, creative professionals striving toward a shared vision: revolutionizing 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. 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 are 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. Job Purpose 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. 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. This role exists to actively provide Optimization Engine and Apps teams with required predictive tools to foresee the behavior of systems given a set of decisions. It will also be accountable for enabling development teams, consulting teams, and customers by providing analytical tools that use historical and real-time data to predict the behavior of assets. Job Duties and Responsibilities Computer Science Requirements Proficient in at least one major programming language (Python, Scala, Java, C#, C/C++, Kotlin). Hands-on experience with Git (handling branching and merging) Solid knowledge of data structures, algorithm design, problem solving, and complexity analysis. Understanding of database theory and experience in at least one relational DBMS like SQL Server, PostgreSQL, and MySQL. Expertise in data manipulation

Solid knowledge in statistics

Descriptive and inferential statistics Univariate and multivariate analysis Discrete and continuous probability distributions Sampling and Hypothesis testing Confidence interval and statistical significance

Mastery of machine learning

Supervised, unsupervised, and reinforcement learning Dealing with categorical and numerical variables Dealing with missing data Feature selection and dimensionality reduction Training/test data samples Cross validation Classification algorithms and metrics Hyperparameters tuning Regression algorithms and metrics Time series analysis Anomaly detection Clustering (K-means)

Required Skills Education and Experience

M.Sc. in Data Science or related with 1+ years' experience

-or- B.Sc. in Data Science or related with 3+ years' experience Technical Skills Computer Science Requirements Proficient in at least one major programming language (Python, Scala, Java, C#, C/C++, Kotlin). Hands-on experience with Git (handling branching and merging) Solid knowledge of data structures, algorithm design, problem solving, and complexity analysis. Understanding of database theory and experience in at least one relational DBMS like SQL Server, PostgreSQL, and MySQL. Expertise in data manipulation

Desired Skills

Big Data analytics with spark Real-time analytics Apache Spark machine learning library Familiarity with frameworks and tools such as Databricks, RabbitMQ, Kafka, Docker or Kubernetes. Familiarity with Microsoft Azure Analytics Platform. Familiarity with the mining Industry, focused on load & haul operations. Experience with agile methodologies.

Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.