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Intern - Analytics

Date:  Sep 16, 2022
Location: 

Milwaukee, WI, US, 53214

Req ID:  25279
Onsite or Remote:  Onsite Position

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 TimberPro, Joy, P&H, Montabert, Modular Mining Systems, Hensley Industries, NTC, and Gigaphoton.

Job Overview

The Analytics Intern role is part of Komatsu Mining’s Surface Mining Analytics team. As part of the team, this role engages with an array of modern cloud tools and data science techniques in pursuit of developing operational analytic insights for large surface mining equipment.

Key Job Responsibilities

  • Develop innovative solutions to problems in the space of machine performance/health/maintenance enhancement and integrated mining systems optimization that leverage structured and unstructured, diverse ‘big data’ from the global equipment fleet, Komatsu engineering models, and state-of-the-art analytics tools/algorithms.
  • Drives project from concept development all the way to productionized deployment.
  • Contributes to dashboard and reporting development, in support of customer solutions.
  • Drive research in pursuit of new data science methods to solve mining machines and operations challenges.
  • Adopt best practices for data analytics workflow, testing, validation, monitoring, and documentation.
  • Drive analytics application development through all project phases, from problem formulation through productionized code deployment.
  • Perform ad hoc exploratory data analysis in support of internal Engineering, Product Management, and Distributor stakeholders.
  • Effectively communicate results of analysis with diverse array of technical and non-technical personas.
  • Support system engineering projects that have a substantial mix of electrical, mechanical, physics, algorithms and software design, and understand the underlying system implications.
  • Contribute to reusable code patterns, for use by Komatsu’s global analytics developer community.
  • Adapt to evolution of modern approaches to and techniques in data science, data mining, machine learning, signal processing, etc. For example, new techniques, tools, and programming languages as required (open source data science stack, signal processing libraries, data visualization, machine learning techniques, parallelized computation, big data and cloud computing ecosystem, etc.).

Qualifications/Requirements

Education / Work Experience:

  • Candidates must be pursuing a minimum of a Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Physics, Mathematics, Statistics, or equivalent).
  • Academic or work experience in following domains:
    • Data mining and analysis
    • Data visualization via storytelling, dashboarding, reports
    • Command of statistics
    • Digital signal processing, time series data, pattern recognition and extraction
    • Machine learning, regression, classification, clustering, deep learning
    • Optional, but helpful: Some knowledge of physics or mechanical/electrical engineering principles
  • ​​​​​​​Strong communication skills, both written and verbal.
  • Git version control.

Training:

Signal processing, data mining, data science, data cleansing, visualization, predictive analytics, estimation and optimization theory, dynamic systems modeling.

Additional Information

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.


Nearest Major Market: Milwaukee

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